Data-oriented professional with a B.Tech in Computer Science (Data Science specialization) and hands-on experience in MIS reporting, Excel/Power BI analysis, and AI-driven applications including RAG (Retrieval-Augmented Generation) systems. Currently contributing to a GenAI-based product at a startup, with prior experience handling large-scale project data at an EPC organization. Seeking to transition into a Data Analyst, AI-ML Engineer, Software Engineer, Data Scientist, Data Engineer.
Overview
1
1
year of professional experience
3
3
Languages
Work History
Jr. AI-ML Engineer
Tattvera Technologies
04.2026 - Current
Contributed to development of an AI-based automated interview system involving CV ranking and skill-matching using RAG (Retrieval-Augmented Generation)
Performed data analysis to support product decisions and client requirement understanding
Assisted in identifying target audience segments and shaping product positioning
Worked on debugging and error handling across product features
Collaborated flexibly across data, product, and technical tasks in a fast-paced startup environment
Document Controller (MIS & Data Analysis)
L&T Energy Hydrocarbon
05.2025 - 03.2026
Managed physical and digital project documents and data for the Numaligarh Refinery Project, Assam
Collected, verified, and consolidated project data from Engineering, Procurement, and Construction (EPC) teams to support planning and MIS reporting
Performed data analysis using MS Excel — pivot tables, VLOOKUP/HLOOKUP, formulas — with automation via conditional formatting and reusable templates
Extracted and transformed Excel-based data for visualization using Power BI, supporting basic ETL processes
Tracked document revisions and version control, ensuring accurate data was used in planning and execution
Coordinated across EPC teams to ensure timely, accurate flow of information
RAG Resume Matching Agent, Python, Google Gemini API, Streamlit, Built an end-to-end RAG (Retrieval-Augmented Generation) pipeline that screens resumes against job descriptions. Extracts structured candidate data via LLM, generates embeddings, and computes cosine similarity scores to rank resume-job fit; built from direct API calls rather than a framework to deepen hands-on RAG understanding., https://rag-resume-matching-agent-mxy9kpmfx4tfb42w5jttcu.streamlit.app/, https://github.com/iamarindam21/rag-resume-matching-agent
Titanic Survival Prediction, Python, Pandas, Scikit-learn, Matplotlib/Seaborn, Developed a classification model to predict passenger survival on the Titanic dataset, applying exploratory data analysis (EDA) and machine learning algorithms to identify key survival factors.
Data Visualization Dashboard, Power BI, Excel, Created interactive dashboards and visual reports to analyze and present data-driven insights, translating raw datasets into clear, business-friendly visuals.