Machine Learning with Python
Master cutting-edge machine learning techniques with Python under expert guidance. Enroll in our comprehensive training program designed specifically for aspiring data scientists seeking practical skills in classification, regression, clustering, neural networks, and real-world application deployment.
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What you'll learn
- Implement supervised and unsupervised machine learning algorithms using Python
- Create ensemble learning systems combining multiple machine learning models
- Build classification models using scikit-learn and evaluate their performance
- Deploy machine learning models into web applications with database integration
- Design neural networks for image recognition with backpropagation training
- Apply data preprocessing techniques including feature selection and cleaning
- Perform sentiment analysis on text data using natural language processing
- Develop regression models for predicting continuous target variables
Why should you attend?
This comprehensive course provides a thorough foundation in machine learning concepts and practical implementation using Python. Students begin by exploring fundamental machine learning definitions, concepts, and the three primary types of learning: supervised, unsupervised, and reinforcement learning. The curriculum covers essential Python libraries including pandas, NumPy, and scikit-learn for data analysis and machine learning implementation. The course progresses through classification algorithms, starting with building intuition and implementing perceptron and linear classification algorithms from scratch. Students then advance to using scikit-learn for popular classification methods, including logistic regression and Support Vector Machines (SVM) with kernel methods. Critical data preprocessing techniques are covered extensively, including handling missing data, categorical variables, and feature selection strategies. Advanced topics include dimensionality reduction through Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), model evaluation using cross-validation, hyperparameter tuning via grid search, and ensemble learning methods. Practical applications feature sentiment analysis with text data processing, web application development for model deployment, regression analysis for continuous variables, clustering analysis for unlabeled data, and artificial neural networks for image recognition with backpropagation implementation.
Course Syllabus
Day 1 - ML Fundamentals and Classification
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Model Optimization and Evaluation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Advanced Applications and Deployment
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of comprehensive industry experience spanning multinational corporations across the US, Europe, Asia, South America, and the Middle East. His extensive background encompasses senior executive roles including CIO/CTO, director, and board member positions at renowned organizations such as Dell, AMD, and Experian, as well as regional conglomerates like Indra in Asia Pacific. This diverse corporate experience provides him with unique insights into enterprise-level challenges and solutions across multiple business functions including HR, Finance, Operations, Sales, Risk Management, Engineering, and Accounting. As a highly sought-after trainer, Tarun specializes in an impressive array of cutting-edge technologies and methodologies. His expertise spans Agile/Scrum/SAFe frameworks, enterprise architecture (TOGAF/COBIT/ITIL), cybersecurity (CISSP/CEH/CISO), project management (PRINCE2/PMP), Big Data technologies (Hadoop/Spark), Data Science with Python and R, DevOps practices, Machine Learning/AI, cloud computing, blockchain technologies, and modern development frameworks. This comprehensive skill set enables him to deliver training across the entire technology spectrum, from foundational concepts to advanced implementations. His training delivery extends throughout the Asia Pacific region, including Malaysia, Indonesia, Philippines, Thailand, and Singapore, where he has successfully conducted workshops and training programs for both large enterprises and SMEs. Tarun's client portfolio includes industry leaders such as Dell, AMD, Western Digital, Singtel, CIMB, Digi, Tenaga Nasional, and Sime Darby, demonstrating his ability to work with diverse organizational cultures and technical requirements. Academically, Tarun holds exceptional credentials including an MSc in Information Systems and MBA in Finance and Operations Management from Loyola University Chicago, where he graduated summa cum laude with Beta Gamma Sigma and Alpha Sigma Nu honors. His educational foundation is further strengthened by Bachelor's degrees in Biology, Math, Computer Science, and Business Administration, plus advanced programs from MIT and Stanford in AI, Blockchain, and Entrepreneurship. His extensive certifications as an Agile/Scrum trainer, Java/.NET developer, Machine Learning specialist, and InfoSec expert validate his technical proficiency and commitment to continuous learning, making him an ideal trainer for organizations seeking comprehensive technology education and transformation guidance.'
Instructor
Dr. Mohammed Al-Obaydee is a distinguished trainer, academic, and industry expert with a robust background in computer science and engineering. Born on June 6, 1981, he holds Iraqi nationality and is proficient in Arabic, English, and Malay. Dr. Mohammed Al-Obaydee's academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering from the University of Technology in 2004, followed by a Master’s degree in Computer Science from High Academia for Science and Human Science in 2007. He earned his Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) in 2016. Dr. Mohammed Al-Obaydee has been actively involved in academia as an Adjunct Associate Professor at Taylor’s University Lakeside Campus since August 2022, where he supervises master students and lectures on subjects such as Machine Learning, Parallel Computing, Data Analytics, and Data Engineering. His previous teaching roles include positions at KICT/IIUM and Philadelphia University Jordan, where he taught advanced topics like Advanced Data Structure with C++ and Program Analysis Techniques. In addition to his academic endeavors, Dr. Mohammed Al-Obaydee is a seasoned professional trainer certified by HRD Corp. He has delivered numerous training sessions on Data Science and Analytics as well as Applied AI Engineering at institutions like Brickfields Asia College/Veritas University College since September 2020. His expertise extends to industry projects such as building customer segmentation models for Amway Malaysia and providing training consultations for major corporations like OCBC Bank, HSBC Bank, Hitech Padu, EtiQa, and DELL Malaysia. Dr. Mohammed Al-Obaydee is also an accomplished researcher with several publications to his name, including award-winning papers presented at international conferences like ACSAT2014 and ITNG 2023. His research interests focus on machine vision inspection using combined global and local features, MRI medical image classification using deep learning techniques, and information overload effects. As the founder of INNOEYETIVE and AIC4ALL, Dr. Mohammed Al-Obaydee leverages AI and immersive technologies to enhance digital marketing strategies and educational experiences globally. His leadership roles extend to being the Head of IT and Marketing Department at Yallelite LTD in the UK since May 2019 and leading the Multimedia Department at Al-Wariseen Trust in Malaysia since July 2009. With over two decades of experience spanning academia, industry training, research supervision, and entrepreneurial ventures, Dr. Mohammed Al-Obaydee continues to make significant contributions to the fields of data science, artificial intelligence, machine learning, big data analytics, and immersive technology.
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
Course Reviews
The course does add all the skills mentioned. The content is good with thoughtful exercises. Definitely a good starting point for Machine Learning. Can recommend this course if you are new to any of the skills.
The course does add all the skills mentioned. The content is good with thoughtful exercises. Definitely a good starting point for Machine Learning. Can recommend this course if you are new to any of the skills.
Very well taught course. A lot of knowledge provided in an interactive manner and it wasn't overwhelming.
Instructor Reviews
He was indeed very skilled, knowledgeable and passionate in the data science realm. I was impressed with his business know-how (how the world economy works and how all things can be explain with data, with/without bias) and technical skills in converting data into insights. I will not hesitate to recommend Tarun for any data science related training as I would like to attend more classes myself to learn from the best of the best.
I attended one of Tarun's Data Science course in Jakarta (CDSS). He was a professional trainer & very knowledgeable in Data Science. In his course, Tarun gave many practical examples & valuable information regarding how to conduct Data Science & it's related components (e.g. Software & Deployment Architecture). In addition to those lessons, he also gave very useful insights on building a career as a Data Scientist.
Attended "Blockchain Training: An Overview for Business Professionals" conducted by Dr. Tarun. The reference materials are very comprehensive and an excellent means of conveying information. I was very impressed with how this technology works and adapted into business
He shared his professional insights on data science with a sense of humor that cleared up so many of my questions about the content and real-world applications. Information, tools, and resources given are very useful
His knowledge of multiple subjects exceeds far greater than that of any IT or non-IT person I have met or interacted with in a long time. The breadth and depth of the subject matter he has acquired is exemplary.
Training with Tarun has been awesome. He’s super knowledgable, funny, empathetic and a great educator in general. As someone who didn’t come from a computer science background, his teachings didn’t make me feel stupid or impossible to eventually arrive at being a competent developer. I could understand him as he communicates well & has helped me see the big picture of the computer science field beyond the scope of syntaxes. If you similarly did not come from a CS background and hope to transition into the world of programming but struggle to learn on your own, understand all the foreign & abstract concepts and connect the dots, I think the right person to guide you on your journey would make a big difference. Having someone who’s deep in the field with many years of experience narrow and communicate the relevant areas to focus would also close a big gap from having to struggle and figure out a lot of things on your own. Being able to maintain your interest during your learning journey is important too, thus finding that someone is important. All in all, I would wholeheartedly recommend Tarun and the backend course I took.
Tarun is a results-driven & inspirational technology leader with a clear vision, direction, and broad-based technology expertise. He is passionate, intuitive, engaged, pragmatic, systematic, agile. His experiences span from small start-ups to complex, global companies, from being technical lead to technical strategist to being the leader of larger group of architecture and engineering teams. Much of his experiences are in the area of Java, Scala, Machine Learning, Neural Networks, Cloud Computing, Data Science and what not. I am truly amazed to experience his breadth & depth of technological expertise and pleasure to be part of his team.
Tarun is very passionate on the domains and gave numerous insights to support critical business decisions and develop data products to transform daily encounters and processes. He was a professional trainer & very knowledgeable in Data Science. His material is presented through a sequence of brief lectures, interactive demonstrations, great hands-on exercises, and discussions.
We’ve been collaborated many times in doing courses for the accountants. He spoke to quiet number of event in our company with various topic regards to accountants need. The collaboration was very smooth and his session definitely made a huge impact on our success. Mr Tarun is a great Professional!
Mr. Tarun is a driven, hardworking, and knowledgeable entrepreneur in his field." A broad-minded trainer who embraces change and inspires people to do better every day. Mr. Tarun sets a good example by being enthusiastic and dedicated, and he inspires and motivates others. I am delighted to be working for such personnel
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
FAQs
Courses you may like
Why should you attend?
This comprehensive course provides a thorough foundation in machine learning concepts and practical implementation using Python. Students begin by exploring fundamental machine learning definitions, concepts, and the three primary types of learning: supervised, unsupervised, and reinforcement learning. The curriculum covers essential Python libraries including pandas, NumPy, and scikit-learn for data analysis and machine learning implementation. The course progresses through classification algorithms, starting with building intuition and implementing perceptron and linear classification algorithms from scratch. Students then advance to using scikit-learn for popular classification methods, including logistic regression and Support Vector Machines (SVM) with kernel methods. Critical data preprocessing techniques are covered extensively, including handling missing data, categorical variables, and feature selection strategies. Advanced topics include dimensionality reduction through Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), model evaluation using cross-validation, hyperparameter tuning via grid search, and ensemble learning methods. Practical applications feature sentiment analysis with text data processing, web application development for model deployment, regression analysis for continuous variables, clustering analysis for unlabeled data, and artificial neural networks for image recognition with backpropagation implementation.
What you'll learn
- Implement supervised and unsupervised machine learning algorithms using Python
- Create ensemble learning systems combining multiple machine learning models
- Build classification models using scikit-learn and evaluate their performance
- Deploy machine learning models into web applications with database integration
- Design neural networks for image recognition with backpropagation training
- Apply data preprocessing techniques including feature selection and cleaning
- Perform sentiment analysis on text data using natural language processing
- Develop regression models for predicting continuous target variables
Course Syllabus
Day 1 - ML Fundamentals and Classification
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Model Optimization and Evaluation
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Advanced Applications and Deployment
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Course Reviews
The course does add all the skills mentioned. The content is good with thoughtful exercises. Definitely a good starting point for Machine Learning. Can recommend this course if you are new to any of the skills.
The course does add all the skills mentioned. The content is good with thoughtful exercises. Definitely a good starting point for Machine Learning. Can recommend this course if you are new to any of the skills.
Very well taught course. A lot of knowledge provided in an interactive manner and it wasn't overwhelming.
Instructor Reviews
He was indeed very skilled, knowledgeable and passionate in the data science realm. I was impressed with his business know-how (how the world economy works and how all things can be explain with data, with/without bias) and technical skills in converting data into insights. I will not hesitate to recommend Tarun for any data science related training as I would like to attend more classes myself to learn from the best of the best.
I attended one of Tarun's Data Science course in Jakarta (CDSS). He was a professional trainer & very knowledgeable in Data Science. In his course, Tarun gave many practical examples & valuable information regarding how to conduct Data Science & it's related components (e.g. Software & Deployment Architecture). In addition to those lessons, he also gave very useful insights on building a career as a Data Scientist.
Attended "Blockchain Training: An Overview for Business Professionals" conducted by Dr. Tarun. The reference materials are very comprehensive and an excellent means of conveying information. I was very impressed with how this technology works and adapted into business
He shared his professional insights on data science with a sense of humor that cleared up so many of my questions about the content and real-world applications. Information, tools, and resources given are very useful
His knowledge of multiple subjects exceeds far greater than that of any IT or non-IT person I have met or interacted with in a long time. The breadth and depth of the subject matter he has acquired is exemplary.
Training with Tarun has been awesome. He’s super knowledgable, funny, empathetic and a great educator in general. As someone who didn’t come from a computer science background, his teachings didn’t make me feel stupid or impossible to eventually arrive at being a competent developer. I could understand him as he communicates well & has helped me see the big picture of the computer science field beyond the scope of syntaxes. If you similarly did not come from a CS background and hope to transition into the world of programming but struggle to learn on your own, understand all the foreign & abstract concepts and connect the dots, I think the right person to guide you on your journey would make a big difference. Having someone who’s deep in the field with many years of experience narrow and communicate the relevant areas to focus would also close a big gap from having to struggle and figure out a lot of things on your own. Being able to maintain your interest during your learning journey is important too, thus finding that someone is important. All in all, I would wholeheartedly recommend Tarun and the backend course I took.
Tarun is a results-driven & inspirational technology leader with a clear vision, direction, and broad-based technology expertise. He is passionate, intuitive, engaged, pragmatic, systematic, agile. His experiences span from small start-ups to complex, global companies, from being technical lead to technical strategist to being the leader of larger group of architecture and engineering teams. Much of his experiences are in the area of Java, Scala, Machine Learning, Neural Networks, Cloud Computing, Data Science and what not. I am truly amazed to experience his breadth & depth of technological expertise and pleasure to be part of his team.
Tarun is very passionate on the domains and gave numerous insights to support critical business decisions and develop data products to transform daily encounters and processes. He was a professional trainer & very knowledgeable in Data Science. His material is presented through a sequence of brief lectures, interactive demonstrations, great hands-on exercises, and discussions.
We’ve been collaborated many times in doing courses for the accountants. He spoke to quiet number of event in our company with various topic regards to accountants need. The collaboration was very smooth and his session definitely made a huge impact on our success. Mr Tarun is a great Professional!
Mr. Tarun is a driven, hardworking, and knowledgeable entrepreneur in his field." A broad-minded trainer who embraces change and inspires people to do better every day. Mr. Tarun sets a good example by being enthusiastic and dedicated, and he inspires and motivates others. I am delighted to be working for such personnel
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of comprehensive industry experience spanning multinational corporations across the US, Europe, Asia, South America, and the Middle East. His extensive background encompasses senior executive roles including CIO/CTO, director, and board member positions at renowned organizations such as Dell, AMD, and Experian, as well as regional conglomerates like Indra in Asia Pacific. This diverse corporate experience provides him with unique insights into enterprise-level challenges and solutions across multiple business functions including HR, Finance, Operations, Sales, Risk Management, Engineering, and Accounting. As a highly sought-after trainer, Tarun specializes in an impressive array of cutting-edge technologies and methodologies. His expertise spans Agile/Scrum/SAFe frameworks, enterprise architecture (TOGAF/COBIT/ITIL), cybersecurity (CISSP/CEH/CISO), project management (PRINCE2/PMP), Big Data technologies (Hadoop/Spark), Data Science with Python and R, DevOps practices, Machine Learning/AI, cloud computing, blockchain technologies, and modern development frameworks. This comprehensive skill set enables him to deliver training across the entire technology spectrum, from foundational concepts to advanced implementations. His training delivery extends throughout the Asia Pacific region, including Malaysia, Indonesia, Philippines, Thailand, and Singapore, where he has successfully conducted workshops and training programs for both large enterprises and SMEs. Tarun's client portfolio includes industry leaders such as Dell, AMD, Western Digital, Singtel, CIMB, Digi, Tenaga Nasional, and Sime Darby, demonstrating his ability to work with diverse organizational cultures and technical requirements. Academically, Tarun holds exceptional credentials including an MSc in Information Systems and MBA in Finance and Operations Management from Loyola University Chicago, where he graduated summa cum laude with Beta Gamma Sigma and Alpha Sigma Nu honors. His educational foundation is further strengthened by Bachelor's degrees in Biology, Math, Computer Science, and Business Administration, plus advanced programs from MIT and Stanford in AI, Blockchain, and Entrepreneurship. His extensive certifications as an Agile/Scrum trainer, Java/.NET developer, Machine Learning specialist, and InfoSec expert validate his technical proficiency and commitment to continuous learning, making him an ideal trainer for organizations seeking comprehensive technology education and transformation guidance.'
Dr. Mohammed Al-Obaydee is a distinguished trainer, academic, and industry expert with a robust background in computer science and engineering. Born on June 6, 1981, he holds Iraqi nationality and is proficient in Arabic, English, and Malay. Dr. Mohammed Al-Obaydee's academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering from the University of Technology in 2004, followed by a Master’s degree in Computer Science from High Academia for Science and Human Science in 2007. He earned his Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) in 2016. Dr. Mohammed Al-Obaydee has been actively involved in academia as an Adjunct Associate Professor at Taylor’s University Lakeside Campus since August 2022, where he supervises master students and lectures on subjects such as Machine Learning, Parallel Computing, Data Analytics, and Data Engineering. His previous teaching roles include positions at KICT/IIUM and Philadelphia University Jordan, where he taught advanced topics like Advanced Data Structure with C++ and Program Analysis Techniques. In addition to his academic endeavors, Dr. Mohammed Al-Obaydee is a seasoned professional trainer certified by HRD Corp. He has delivered numerous training sessions on Data Science and Analytics as well as Applied AI Engineering at institutions like Brickfields Asia College/Veritas University College since September 2020. His expertise extends to industry projects such as building customer segmentation models for Amway Malaysia and providing training consultations for major corporations like OCBC Bank, HSBC Bank, Hitech Padu, EtiQa, and DELL Malaysia. Dr. Mohammed Al-Obaydee is also an accomplished researcher with several publications to his name, including award-winning papers presented at international conferences like ACSAT2014 and ITNG 2023. His research interests focus on machine vision inspection using combined global and local features, MRI medical image classification using deep learning techniques, and information overload effects. As the founder of INNOEYETIVE and AIC4ALL, Dr. Mohammed Al-Obaydee leverages AI and immersive technologies to enhance digital marketing strategies and educational experiences globally. His leadership roles extend to being the Head of IT and Marketing Department at Yallelite LTD in the UK since May 2019 and leading the Multimedia Department at Al-Wariseen Trust in Malaysia since July 2009. With over two decades of experience spanning academia, industry training, research supervision, and entrepreneurial ventures, Dr. Mohammed Al-Obaydee continues to make significant contributions to the fields of data science, artificial intelligence, machine learning, big data analytics, and immersive technology.
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
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