🎯 Data Analyst | SQL • Python • Power BI • Excel
📊 Turning raw data into business decisions through analytics & storytelling
- Data Analyst with hands-on experience in real-world projects
- Skilled in data cleaning, analysis, visualization, and generating actionable insights
- Passionate about business analytics, KPIs, and data storytelling
- Continuously building projects to enhance practical analytics skills and deliver data-driven solutions
Built an end-to-end fraud detection pipeline analyzing 1,00,000 transactions
across 50 fuel stations in 3 cities — uncovered 27.5% fraud rate, 16,200L
under-dispensing, and proved 3 business hypotheses on customer retention
using sensor data validation.
Tech Stack: Python, PostgreSQL, Power BI, DAX
🔗 View Project
Sales analytics pipeline tracking $2.15M revenue across 500 orders — identified underperforming categories and flagged targets below 50% achievement.
Tech Stack: Python, SQL, Power BI
🔗 View Project
ML pipeline on 7,043 customers predicting 26.54% churn — trained 4 models
with SMOTE balancing; Random Forest selected as optimal.
Tech Stack: Python, Pandas, scikit-learn
🔗 View Project
Built an API-integrated Power BI dashboard to analyze real-time weather trends and Air Quality Index (AQI) levels across multiple cities, enabling comparative environmental risk insights.
Tech Stack: Power BI, DAX, Weather API, Data Modeling
🔗 View Project
- 🗄️ SQL: Joins, CTEs, Window Functions
- 🐍 Python: Pandas, NumPy, Data Analysis
- 📊 Power BI: Dashboards, DAX, Data Storytelling
- 🤖 Machine Learning: Classification, Model Evaluation
- 🔎 End-to-End Analytics: Data Cleaning → Analysis → Insights → Recommendations
👉 View all my projects here:
🔗 https://github.com/aditya-datahub?tab=repositories
Open to Entry-level Data Analyst roles and Internships. Available from July 2026.
- 💼 LinkedIn: https://linkedin.com/in/aditya-sharma-9b6588286
- 🐙 GitHub: https://github.com/aditya-datahub
🌱 Always learning, analyzing, and building data-driven solutions.