Business analyst | Data analyst

Bio-Wonder, 15th Floor,. 789, Anandapur Main Road. Near Pinnacle Honda Showroom. Kolkata-700107

Pgdm in business analytics, Business analytics
Globsyn Business School

Bachelor of Science, Mathematics
Kalyani
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I build AI-powered data systems that turn messy, unstructured information into decisions. Currently a Data Analytics & AI intern, I've shipped production-grade systems including: • A retrieval-augmented generation (RAG) chatbot using LangChain + LLaMA 3.2 for intelligent NLP-based query resolution • A multi-platform web scraping pipeline (Amazon, Flipkart, JioMart, Tata 1MG + 2 more) for competitive tea pricing — integrated with Excel via Python automation • An automated PDF data extraction system for structured tax data processing • An enhanced Power BI dashboard (DAX-powered) tracking machine efficiency, operator downtime, and operational KPIs My edge: I don't just analyze data — I automate the pipelines that collect it, clean it, and make it queryable by AI. Tech stack: • Languages & Tools: Python, SQL, Power BI, LangChain, Ollama • AI/LLM: RAG pipelines, LLaMA 3.2, Prompt Engineering, NLP • Data: Pandas, Web Scraping, Excel Automation, DAX Currently pursuing PGDM in Business Analytics at Globsyn Business School (2024–2026). Open to: Forward Deployed Engineer · AI Engineer · Applied AI Engineer · Data Analyst · Developer Advocate Let's connect if you're building something with data and AI.
Greater Kolkata Area
Data Analyst Intern at Madhu Jayanti International Pvt. Ltd., May 2025 - Jul 2025 · 3 mos, Bio-Wonder, 15th Floor,. 789, Anandapur Main Road. Near Pinnacle Honda Showroom. Kolkata-700107, Built end-to-end data and AI systems across automation, scraping, analysis, and LLM integration. • RAG Chatbot: Designed and deployed a retrieval-augmented generation chatbot using LangChain, Ollama, and LLaMA 3.2 — enabling natural language querying of internal company data and reducing manual lookup time for the ops team. • Competitive Pricing Pipeline: Built an automated web scraping system to extract MRP and SP data for tea products across 6 platforms (Amazon, Flipkart, Shopsy, Healthmug, JioMart, Tata 1MG); integrated Python-based conditional formatting into Excel for instant price validation and anomaly flagging. • PDF Data Extraction: Automated extraction and structuring of tax-related data from unstructured PDFs — eliminating manual data entry and reducing processing time for compliance workflows. • Product Catalog Pipeline: Engineered a scraping pipeline to extract and organize the company's full product catalog from its website into a structured, queryable data asset. • Power BI Dashboard: Enhanced an interactive dashboard using custom DAX measures to surface machine efficiency rates, operator downtime trends, and production KPIs — giving operations managers real-time visibility into floor performance.
Pgdm in business analytics, Business analytics, Globsyn Business School
Bachelor of Science, Mathematics, Kalyani
github: https://github.com/Arpan123-alt-png