I'm a former Senior Officer at Energypac Electronics, where I specialized in Banking, Treasury, Internal Audit, and Costing. After years of working at the intersection of financial operations and analytical problem-solving, I made a deliberate transition into Data Science and Analytics — bringing a practitioner's eye for what numbers actually mean in business contexts.

My academic foundation in Economics (MSS & BSS) combined with an ongoing CMA qualification informs how I approach data: not just as patterns to visualize, but as evidence for decisions. I'm currently building toward Predictive Analytics and ML-driven decision systems that can model complex economic and behavioral patterns.

Languages & Libraries

BI & Visualization

Platforms & Tools

Python · Selenium · Pandas · NumPy · Tableau

Scraped and analyzed 7,197 product listings from two of Bangladesh's leading online grocery platforms — Chaldal and Shwapno — to surface market-level pricing and promotional intelligence.

Key findings:

• Shwapno has a larger catalogue; Chaldal leads in Non-Food SKUs (except Personal Care)
• Pran and ACI dominate as top named brands on both platforms
• Discounts cluster in Non-Food — Personal Care leads in free product availability
• Small, Standard-priced products receive the most offers; Large products are nearly excluded
• Personal Care shows the widest price gap between platforms

Deliverable: An interactive Tableau dashboard revealing cross-platform trends and pricing gaps for consumer and market strategy use.

SQL · Power BI

Building a dashboard to monitor stock volatility, growth trajectories, and sector-level signals across tech industry equities. Aimed at supporting investment-oriented data storytelling.

HTML · CSS · WordPress · Hostinger

A collection of responsive websites built from scratch and via WordPress — currently being migrated to GitHub repositories.

• Custom-built static sites using vanilla HTML & CSS
• WordPress-based sites with custom layout & design using plugins
• Few projects hosted on Hostinger

🚧 Repositories uploading — links coming soon.           

• Advanced Machine Learning algorithms (regression, classification, clustering)
• Statistical modeling for forecasting and inference
• Feature engineering and model evaluation pipelines

I'm particularly drawn to problems where economic reasoning meets messy real-world data — whether that's consumer pricing behavior, financial risk signals, or operational inefficiencies hiding in ledger entries. If data tells a story about how people, markets, or institutions actually behave, I want to build the model that reads it.

Developed by @bithiNath ⚡