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.
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Work Experience
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.
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%.
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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