Welcome! This repository contains 14 data analysis projects completed during my Data Analytics Bootcamp at Tripleten.
Each project explores different areas such as:
- 📌 Data Cleaning & Preprocessing
- 📈 Exploratory Data Analysis (EDA)
- 🧪 A/B and Hypothesis Testing
- 🧠 Machine Learning Models
- 🗃️ SQL Queries & ETL
- 📊 Dashboards in Tableau and Power BI
Cleaned and analyzed user behavior data to detect anomalies, duplicates and missing values.
Exploratory analysis on user preferences and trends for a music app.
Applied association rules to identify frequently bought product combinations.
Evaluated call and internet usage to recommend cost-saving plans.
Developed interactive Power BI dashboards for automotive market insights.
Analyzed game sales across platforms and regions using Python and Seaborn.
Examined taxi trip data to explore patterns under different weather conditions.
Used regression to measure ROI from various marketing channels.
Prioritized and analyzed A/B test results to guide product decisions.
Identified ideal locations in LA using competitor data and demographics.
Combined product funnel analysis with A:A:B testing methods.
Visualized most popular video categories by country and region.
Built a logistic regression model to predict churn and recommend retention strategies.
Segmented customers to enable personalized marketing campaigns.
| Category | Tools & Libraries |
|---|---|
| Languages | Python, SQL |
| Data Analysis | Pandas, NumPy, Matplotlib, Seaborn |
| Modeling | Scikit-Learn, Statsmodels |
| BI & Dashboards | Power BI, Tableau |
| Databases | PostgreSQL, SQLite |
| Other | Jupyter, Google Colab, Excel |
💼 I'm currently looking for junior data analyst opportunities (remote/hybrid/freelance).
📬 Feel free to connect with me on LinkedIn or check out my full GitHub profile.
⭐ If you like what you see, consider giving this repository a star!