A collection of my best projects
With extensive experience in data analytics and engineering, I've delivered actionable insights across multiple industries and technologies. Let me show you my best creations.
Hire Me- All
- Data Engineering
- Data Analysis
- Visualization
- Machine Learning
- SQL Projects
Financial Data Engineering Pipeline
Production-grade stock data pipeline merging Polygon.io and Yahoo Finance. Handles 50K+ daily records with sub-30s latency, fault-tolerant design, and comprehensive monitoring for backtesting and portfolio analysis.
- Multi-source fusion (Polygon.io + Yahoo Finance)
- Market-aware automation
- JSONB metadata & batch inserts
- Comprehensive monitoring & metrics
Python Financial Analytics Collection
Tech stock performance analysis for Apple, Microsoft, Netflix, Google, Amazon, and Meta. Reveals Netflix's highest volatility and strong Apple-Microsoft correlation using moving averages and technical indicators.
- Moving-average crossover logic
- Volatility comparisons
- Correlation findings
Tableau Portfolio (Netflix & UK Jobs)
Interactive Tableau dashboards analyzing Netflix content trends and UK job demographics. Features time-series analysis, KPI tracking, and comparative visualizations published to Tableau Public.
- Netflix content analysis dashboard
- UK job demographics dashboard
- Published to Tableau Public
Metabase BI Case Studies (Piespace)
Comprehensive Metabase BI dashboards for Piespace case study covering revenue analysis, product performance, customer metrics, invoice tracking, and feedback insights with executive-level KPI visualizations.
- Executive-friendly KPI design
- Practical funnel/retention views
- Invoice & feedback analysis
US Consumer Complaints (SQL)
SQL analysis of Consumer Financial Protection Bureau complaints. Data cleaning with date formatting, NULL handling, state-based filtering, and automated ID generation for complaint tracking and pattern analysis.
- Robust cleaning steps
- Targeted slice-and-dice queries
- Date handling & ID generation
Forbes Global 2000 (SQL)
SQL analysis of Forbes Global 2000 companies. Data cleaning, type conversion, performance ranking, and comparative financial metrics analyzing asset base versus market capitalization from Kaggle dataset.
- Consistent typing & cleaning
- Comparative metrics analysis
- Performance ranking
Loan Approval Predictor (Django + ML)
Django web app with Random Forest ML model predicting loan approval probability (80%+ accuracy). Dockerized deployment with PostgreSQL, analyzes income and credit history for instant loan assessment feedback.
- End-to-end ML to web deployment
- Local & Docker runs
- Basic security practices