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NIKUL121003/README.md

Hi, I'm Nikul Kumar

Transforming raw data into intelligent solutions

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๐Ÿ‘จโ€๐Ÿ’ป About Me

  • ๐ŸŽ“ Integrated B.Techโ€“M.Tech in CSE (Data Science) @ Gautam Buddha University (2021โ€“2026, CGPA: 8.03)
  • ๐Ÿ’ผ Data Science Intern @ India Meteorological Department โ€“ Built production ML models achieving 87% forecasting accuracy across 500+ real-time data sources
  • ๐Ÿค– AI & Data Intern @ Edunet Foundation โ€“ Automated analytics workflows and delivered actionable insights
  • ๐Ÿง  Skilled in ML, Deep Learning, Generative AI (LLMs, RAG), Data Visualization, and Fullโ€‘Stack Data Applications
  • ๐Ÿ“Š Proven track record of engineering endโ€‘toโ€‘end pipelines, reducing reporting time by 25%, and deploying scalable AI solutions
  • ๐Ÿ† HackerRank: Python โ˜…โ˜…โ˜…โ˜…, Problem Solving โ˜…โ˜…โ˜…, C++ โ˜…โ˜…โ˜…
  • โšก Fun fact: I love turning messy, realโ€‘world data into clear, impactful stories

๐Ÿ› ๏ธ Tech Stack

Languages
Python SQL R

ML & Deep Learning
Scikit-learn TensorFlow PyTorch XGBoost

Generative AI & NLP
LangChain Hugging Face Transformers RAG

Data & Analytics
Pandas NumPy Matplotlib Seaborn Tableau Power BI

Databases
MySQL PostgreSQL

Tools & Deployment
Git GitHub FastAPI Docker AWS Jupyter Google Colab


๐Ÿš€ Featured Projects

Project Description Stack Link
๐Ÿ” Enterprise AI Knowledge System (RAG) Reduced LLM hallucination by 75% using Retrieval-Augmented Generation โ€“ production-ready API Python, LangChain, LLMs, FastAPI (Private โ€“ available on request)
๐ŸŒฆ๏ธ Weather Forecasting with LSTM Multiโ€‘step temperature forecasting (87% accuracy) on 500+ IMD stations; 15% improvement over baselines TensorFlow, LSTM, Pandas, Tableau (Private โ€“ IMD intellectual property)
๐Ÿ“‰ Predictive Churn Model (Binary Classification) XGBoost classifier achieving 91% accuracy on large customer dataset; +12% precision gain Scikit-learn, XGBoost, SQL GitHub Repo
๐Ÿ“Š Sales Performance Dashboard Power BI dashboard for sales KPI monitoring and trend analysis Power BI, Excel GitHub Repo
๐Ÿ“ˆ Exploratory Data Analysis (EDA) Comprehensive EDA on a realโ€‘world dataset with statistical insights and visualizations Python, Pandas, Matplotlib, Seaborn GitHub Repo
โ˜€๏ธ WeatherMate โ€“ Weather Companion Crossโ€‘platform weather app built with Flutter & Dart, integrating live API data Flutter, Dart GitHub Repo
๐Ÿ’น ZyptoPulse โ€“ Cryptocurrency Tracker Realโ€‘time crypto price tracker with interactive charts Flutter, Dart GitHub Repo

๐Ÿ“œ Certifications

  • ๐Ÿ… LLMs & Generative AI Concepts โ€“ Completed
  • ๐Ÿ“Š Data Analytics โ€“ Completed
  • ๐Ÿค– Machine Learning Specialization (DeepLearning.AI / Andrew Ng) โ€“ Planned
  • ๐Ÿ Applied Data Science with Python (University of Michigan) โ€“ Planned
  • ๐Ÿ“ˆ Microsoft Power BI Data Analyst (PL-300) โ€“ Planned

๐Ÿ“Š GitHub Stats


โœ๏ธ Random Dev Quote

Quote

โญ If you find my projects helpful, please consider starring them! โญ

Pinned Loading

  1. Exploratory-Data-Analysis-EDA-on-a-Dataset Exploratory-Data-Analysis-EDA-on-a-Dataset Public

    Exploratory Data Analysis (EDA) on a Dataset

    Jupyter Notebook

  2. Predictive-Modeling-Binary-Classification Predictive-Modeling-Binary-Classification Public

    Predictive Modeling: Binary Classification

    Jupyter Notebook

  3. WeatherMate---Your-Ultimate-Weather-Companion WeatherMate---Your-Ultimate-Weather-Companion Public

    Your Ultimate Weather Companion

    Dart

  4. ZyptoPulse---Cryptocurrency-Tracker ZyptoPulse---Cryptocurrency-Tracker Public

    Dart