This repository contains a collection of my projects demonstrating skills in data analysis, machine learning, and business intelligence. Each project showcases a systematic approach to solving problems with data, from initial cleaning and exploratory data analysis (EDA) to predictive modeling and the creation of interactive dashboards.
Core Competencies: Python (Pandas, Scikit-learn), R, SQL, Tableau, Power BI, Excel, Data Cleaning, EDA, Predictive Modeling, and Dashboarding.
These three projects represent a comprehensive application of the data science lifecycle, from data inspection to the final delivery of actionable insights through predictive models and dashboards.
| Project | Domain | Key Skills Demonstrated |
|---|---|---|
| Predicting Heart Attacks | Healthcare | EDA, Tuned Random Forest Classifier (76% Accuracy, 88% Recall), Clinical Dashboarding (Tableau) |
| Predicting Loan Defaulters | Finance | Advanced Feature Engineering, LightGBM Model, Risk Analysis, BI Dashboarding (Tableau) |
| Identifying "Star" Restaurants | Marketing | Business Analytics, Customer Engagement Analysis, Strategic Dashboarding (Tableau) |
This section contains projects and coursework completed as part of my ongoing development in data science and analytics.
| Topic | Tools | Description |
|---|---|---|
| Business Analytics with Excel | Excel | Dashboarding and forecasting sales data. |
| Data Analytics with Python | Python | EDA, regression, and prediction analysis projects. |
| Tableau Specialist | Tableau | Interactive dashboards and visual analysis. |
| Data Science with R | R | Statistical and predictive analysis. |
| SQL Certification | SQL | Query-based data analysis projects. |
| Power BI Certification | Power BI | Dashboard creation and storytelling with data. |
| Machine Learning with Python | Python | Machine learning pipelines. |