Data Analyst & AI/ML Engineer | Python · SQL · Power BI · TensorFlow · RAG Systems · LLMs | Turning Data into Decisions | Open to Work
I'm a Data Analyst and AI/ML Engineer who loves turning raw data into clear insights and building intelligent systems that solve real problems. 🔹 On the Data side, I work with Python, SQL, Power BI, and Excel to design dashboards, automate reporting pipelines, and help teams make faster, better decisions. 🔹 On the AI/ML side, I build and deploy machine learning models using TensorFlow, and develop LLM-powered applications with RAG (Retrieval Augmented Generation) architectures and FastAPI backends. What drives me is the intersection of data and intelligence — where a well-built model or a clean dashboard can genuinely change how a business operates. 🛠 Tech Stack: - Languages: Python, SQL - BI Tools: Power BI, Excel - ML/AI: TensorFlow, Scikit-learn, LLMs, RAG Systems - Backend: FastAPI - Other: Data Visualization, ETL, Reporting 📍 Based in Bilaspur, Chhattisgarh | Open to remote & hybrid roles across India 💬 Feel free to connect if you're working on data-driven or AI projects — I'm always up for a good conversation.
Bachelor of Technology - BTech, AIML/DS
Oct 2020 - May 2024
CGPA: 7.74
PCM
Mar 2018 - Mar 2019
Class XII, Science-PCM
2019
57%
Class X
2017
CGPA: 7.2
Designed and built a local RAG-based chat agent to retrieve, analyze, and summarize official documents using LLM-powered reasoning. Implemented real-time document retrieval with tool-assisted responses and an asynchronous FastAPI backend. Technologies: Python, FastAPI, MySQL, Ollama (Qwen2), AsyncIO, HTML/CSS, JavaScript.
Developed a product/content recommendation engine using collaborative filtering techniques. Used LightFM and Scikit-learn to model user-item interactions and generate personalized suggestions. Technologies: Python, TensorFlow, LightFM, Scikit-learn, Pandas, Matplotlib.
Analyzed large sales datasets to surface trends, top-performing products, and regional performance gaps. Created visual dashboards and automated reports to support data-driven business decision-making. Technologies: Python, SQL, Pandas, Matplotlib, Seaborn, Excel.
Implemented an object detection system to identify and label objects in images using bounding boxes. Improved model detection accuracy through iterative tuning and result visualization with OpenCV. Technologies: Python, OpenCV, TensorFlow, Matplotlib.