Statistics | Data Science | Machine Learning | Python, R, and Wolfram Language Programming | Educator | 21+ Years of Teaching Excellence An experienced Statistics educator and Data Science Instructor with over two decades of teaching and six years of specialized training in Data Science. I work with undergraduate, postgraduate, and professional learners across Statistics, Mathematics, Econometrics, Machine Learning, and Deep Learning. My teaching centers on building strong analytical foundations through clear statistical thinking, hypothesis testing, regression analysis, dimensionality reduction, and model validation. I offer hands-on, practical training in Python, R, Julia, and Wolfram Language, guiding students through real-world projects in predictive modeling, model evaluation, and AI-driven problem solving. Every session is fully personalized - tailored to each learner's goals, background, and pace rather than a rigid curriculum. 🟣Professional Expertise 🔹Skilled in preparing, analyzing, and applying a wide range of statistical methods 🔹Strong command of Statistics, Mathematics, Operations Research, and Econometrics 🟣Programming & Technical Skills Proficient in a variety of programming languages and analytical tools: 🔹C & C++ — General-purpose programming 🔹R & Python — Statistical analysis, modeling, and Data Science 🔹Machine Learning — Using both Python and R 🔹Julia & Wolfram Language — Scientific and mathematical computing 🔹Minitab & SPSS — Statistical software for data analysis 🔹Digital Electronics — Foundational hardware and logic design 🟣Training & Teaching Experience 🔹Designed and delivered practical Data Science training programs 🔹Covered key topics including Statistics, R, Python, Machine Learning, and Data Science 🔹Built all sessions around real-world case studies and hands-on practice 🔹Ensured learners could apply skills immediately after each session 🔹Provided ongoing mentoring and support throughout the learning journey 🟣Academic & Mentoring Experience 🔹Conducted lectures and tutorials in Statistics and Data Science at the academic level 🔹Guided students through research projects and academic assignments 🔹Developed course materials, assignments, and assessments from scratch 🔹Tailored learning resources to suit different levels of understanding 🔹Supported students at undergraduate, postgraduate, and professional levels