About me

Aspiring Data Scientist/Data Analyst and Generative AI Engineer with a strong foundation in data analysis, statistical modeling, and deep learning. Proficient in Python, SQL, TensorFlow, and PyTorch. Passionate about exploring data insights and creating AI-driven solutions in NLP and computer vision.

What i'm doing

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    Data Analysis

    As a data analyst, I uncover the stories hidden in data to help make smarter decisions..

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    Data Science

    In Data Science, I leverage machine learning and deep learning to transform raw data into actionable insights, driving smarter decisions and innovative solutions..

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    Generative AI

    I create models that can produce new content, from text and images also automation and create multi AI agents.

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    MLops

    Bridge the gap between data science and IT operations to streamline and scale machine learning model deployment and management.

Resume

Education

  1. Bharati Vidyapeeth College of Engineering

    2021 — 2025

    B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning).

    CGPA : 8.57

Experience

  1. AI/ML Intern

    OnPoint Software Services (Jul 2025 — Present)

    Built multi-agent RAG chatbots using LangGraph, Gemini API, and pgvector for lead intake and project requirement extraction and voice-enabled chatbots (FastAPI, Whisper, FastRTC) with lead generation stored in Google Sheets.

certifications

  1. Oracle Cloud Infrastructure 2024 Generative AI Certified Professional

    2024 — 2026

  2. Oracle Cloud Infrastructure 2023 AI Certified Foundations Associate

    2024 - 2026

  3. Machine Learning Fundamentals Micro-Credential Issued by Alteryx

    2023 — 2025

  4. Python for data science, AI and development- Issued by Coursera

    2023 — Present

My skills

  • Programming Languages :

    Python, SQL

  • Generative AI :

    LangChain, LangGraph, LangSmith, Google Gemini, RAG, Pydantic

  • Machine Learning & Deep Learning :

    Scikit-learn, TensorFlow, Keras

  • Data Analysis & Visualization :

    Pandas, NumPy, Matplotlib, Power BI, Excel

  • Development & Deployment :

    Flask, Django, Streamlit, FastAPI, Docker, Git, MLflow, DVC

  • Databases & Vector Stores :

    MySQL, PostgreSQL, MongoDB, PGVector

  • Tools & Platforms :

    Jupyter Notebooks, Google Colab, Postman, Google Sheets API

Contact

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