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About

Computer Science Engineering graduate specializing in AI & ML with completed intensive hands-on training in Data Analytics from DataMites. Skilled in Python, SQL, Advanced Excel, Power BI, Data Visualization, Exploratory Data Analysis (EDA), and Machine Learning.

Experience3

  1. Co-Founder & Digital Marketing Associate

    2023 — 2025

    Ancen Digital Marketing

    Executed digital marketing campaigns, social media handling, and brand promotion for clients including Radisson Hotel, Tritiksha Jewellers, and Healthy Bites. Developed content strategies, managed social media calendars, and increased online visibility through targeted engagement.

  2. Artificial Intelligence Intern

    2024 — 2024

    Skill Dzire Technologies · Internship

    Implemented ML algorithms achieving 85%+ accuracy; developed 3 AI applications. Completed 200+ hours of AI and deep learning training.

    • Achieved 85%+ accuracy with ML algorithms
    • Developed 3 AI applications
    • Completed 200+ hours of AI and deep learning training

  3. Python Programming Intern

    2025 — 2026

    Skill Dzire Technologies · Internship

    Completed intensive internship focused on Python fundamentals, problem-solving, and practical coding applications.

Projects3

  • AI-Powered Healthcare Chatbot System

    Led team to conceptualize a healthcare chatbot using Groq’s LLaMA-3.3-70B-Versatile model with Streamlit front end and Neon PostgreSQL for data storage. Achieved 92% symptom analysis accuracy; integrated emergency alerts reducing response time by 60%. Added computer vision monitoring module achieving 95% detection accuracy.

    • Streamlit
    • Neon PostgreSQL
    • Groq LLM (LLaMA-3.3-70B)

  • Real-Time Crowd Monitoring System

    Built YOLOv8-based computer vision system for real-time people detection (98% accuracy). Automated entry/exit counting with 95% accuracy and optimized 30 FPS video processing.

    • Python
    • YOLOv8
    • OpenCV

  • Iris Classification ML Project

    Built classification model using Python and Scikit-learn with EDA, preprocessing, and algorithms (KNN, SVM, Random Forest). Evaluated model performance using standard metrics (accuracy, precision, recall, F1-score).

    • Python
    • Scikit-learn
    • Pandas

Education3

  • B.Tech in Computer Science Engineering (AI & ML)

    2022 — 2026

    Raghu Engineering College

  • Intermediate (MPC)

    2020 — 2022

    Narayana Junior College

  • SSC / Class 10

    2019 — 2020

    MP & EV English Medium High School

Certifications5

  • Data Analytics

    2026

    Data Mites

  • C Programming

    Millennium

  • MS Office

    Millennium

  • SQL

    SkillRack

  • Java

    SkillRack