Data Scientist with expertise in Python, SQL, and Machine Learning. Skilled in predictive analytics, data visualization, and statistical techniques to solve real-world challenges like churn prediction and fraud detection. Proven ability to transform raw data into actionable insights and drive business growth
Graduate Certificate in Data Science & AI,Gained expertise in Python, SQL, and Machine Learning. Learned advanced concepts including Generative AI, Data Visualization, and Statistical Analysis. Developed skills in EDA, predictive modeling, and data-driven problem-solving.
Uber-Predict the fare amount of future rides using regression analysis
Developed a predictive fare model for Uber using regression analysis to estimate ride fares based on key factors such as distance, time, and demand patterns.
Data Preprocessing & Feature Engineering – Cleaned, transformed, and optimized ride data for accurate predictions. Regression Modeling & Hyperparameter Tuning – Implemented Lasso Regression, Decision Trees, and XGBoost, fine-tuning models for optimal performance. Model Evaluation – Achieved 76% R² accuracy, ensuring strong generalization. Business Insights – Proposed AI-driven pricing strategies, subscription models, and eco-friendly ride options to enhance profitability.
Skills Used: Machine Learning, Regression Analysis, Data Preprocessing, Business Strategy, Predictive Modeling.
This project combines data science & business strategy, showcasing expertise in real-world problem-solving & decision-making.