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INSTRUCTOR
Biography
I am a mathematics professional with a D.T.Ed, B.Sc, M.Sc, and MPhil, complemented by a one-year Executive Program in Data Science and AI. My expertise encompasses machine learning, statistical analysis, and data visualization. During my internship, ...
My Skills
Machine Learning
Learning Types
Model Evaluation & Tuning
Scikit-learn & TensorFlow
Data Analysis
Data Preparation
Trend Analysis
Insight Generation
Statistical Analysis
Hypothesis Testing
Regression Analysis
Probability Distributions
Exploratory Data Analysis
Data Visualization
Outlier Detection
Pattern Recognition
SQL for Data Management
Complex Queries & Joins
Data Aggregation
Database Design Concepts
Python for Data Analysis
Pandas & NumPy
Data Wrangling
Automation Scripting
Specialization
Predictive Modeling
Proficient in developing data-driven predictive models using supervised and unsupervised learning techniques.
Pure Mathematics
Strong theoretical foundation enabling abstract reasoning, problem-solving, and algorithmic thinking.
Mathematics for Machine Learning
Skilled in applying linear algebra, calculus, and probability to build and optimize machine learning algorithms.
Data-Driven Decision Making
Experienced in leveraging analytical models to support strategic business and operational decisions.
Statistical Analysis
Expertise in deriving insights from data through hypothesis testing, estimation, and statistical modeling.
What you will learn from your mentor
Math Problem-Solving
Develop strong mathematical intuition to tackle complex analytical challenges with confidence.
Data Science Basics
Build a solid understanding of core data science principles from first principles to advanced applications.
Modeling Insights
Learn to convert mathematical and statistical models into actionable business insights.
ML & AI Tools
Gain practical experience using modern tools and libraries to implement machine learning solutions.
Data Visualization
Master the art of turning raw data into compelling visual narratives using Python and visualization libraries.
