About
Data Scientist with 1 years of experience, skilled in SQL, Python, R, Power BI, and Machine Learning, skilled in transforming raw data into actionable insights and building AI-powered solutions. Experienced in developing LLM-based chatbots, real-time analytics dashboards, and automation pipelines. Strong foundation in statistics, data visualization, and cloud technologies (Azure, Microsoft Fabric). Passionate about leveraging data science to drive business impact.
Work Experience
Chatbot Developer Intern
VisShop AI
Sep 2025 - Oct 2025
Built a GenAI-powered chatbot using a RAG-based semantic retrieval pipeline (SentenceTransformer embeddings, Groq LLaMA-3.1-8B) for fast, conversational retrieval from large datasets. Productionized with Django, MongoDB, and CI/CD (GitHub Actions), improving query efficiency and response relevance by ~40%.
Jr. Gen AI Developer
Crystal Group
Oct 2025 - Present
Led the development of SalesOS, centralizing fragmented sales workflows (Excel, WhatsApp) into a unified dashboard with real-time pipeline visibility, automated follow-up tracking, and audit-ready historical data, improving sales efficiency by ~25%. Designed a hybrid Google Sheets → MongoDB sync pipeline and an append-only nested follow-up system to track MQL, SQL, and PO stages without data loss, providing scalable analytics and actionable insights for management. Developed real-time analytics, voice-to-text remark entry, automated PDF generation, and pre-drafted follow-up messages, reducing administrative overhead and missed client touchpoints.
Data Science Intern
Relax Exim LLP
Jan 2025 - Jun 2025
Designed a chatbot using ChromaDB, Google Search API, and LLMs to answer auditor queries from RBI guidelines and the Guidance Note on Audit of Banks (2025 Edition), reducing document lookup time. Created a chatbot on IBC documents, Acts, Rules, and Case Laws, providing summarized responses and cited relevant case precedents for faster, reliable legal research. Built a chatbot on the Income Tax Act, 1961 and ITC documents, combining historical provisions with real-time updates (Finance Acts, CBDT circulars) using LangChain, FastAPI, and web scraping to help professionals stay compliant. End-to-end pipeline for call center analytics. Standardized Whisper for transcriptions after evaluating alternatives, automated log retrieval with Selenium, and applied LLM-based sentiment analysis and agent scoring—boosting evaluation accuracy by 30%.
Education
B.Voc in Artificial Intelligence & Data Science - Thakur College of Engineering & Technology
2022 - 2025 · Afghanistan
12th (HSC) - St. Andrews College
2020 - 2022 · Afghanistan
10th (SSC) - Canossa High School
- 2020 · Afghanistan
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