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Nikita1876/README.md

--- ## About Me - 🔭 I'm currently working on **Data Science projects & ML model deployment** - 🤝 I'm looking to collaborate on **Data Science, Machine Learning ** - 🆘 I'm looking for help with **Deep Learning (CNNs, Transformers) & Open Source contributions** - 🌱 I'm currently learning **Deep Learning, NLP, RAG-based applications & Cloud (AWS)** - 💬 Ask me about **Python, Data Analysis, Machine Learning, DSA & SQL** - ⚡ Fun fact: **I made 4600+ GitHub contributions while being a full-time CS student! 🚀** --- ## Skills Highlighted:

📅 Milestone Timeline

🚀 2023 – Started Coding Journey

  • Learned basics of Python, C, and C++
  • Built foundational programming skills

💻 2024 – Strengthened Core Concepts

  • Solved 200+ DSA problems on LeetCode
  • Learned DBMS, OOPs, Operating Systems

📊 2024 – Entered Data Science & ML

  • Learned Pandas, NumPy, EDA, Data Cleaning
  • Built ML models using Scikit-learn

🏆 2025 – Kaggle & Achievements

  • Earned Kaggle badges in datasets / notebooks
  • Completed AI Agent course on Kaggle
  • Practiced real-world datasets and analysis

📈 2025 – Projects & Practical Work

  • Built Blinkit Sales Analysis project
  • Performed EDA, visualization, and insights extraction

🌐 2025 – Open Source & Contributions

  • Contributor at GirlScript Summer of Code (GSSoC)
  • Worked on collaborative development projects

🎯 2026 – Current Focus

  • Exploring NLP, AI Agents, and real-world ML problems
  • Actively applying for ML / Data / SDE internships

🔮 Future Goals

  • Build advanced NLP projects
  • Contribute to open-source ML projects
  • Secure internship at a top tech/startup company 🏆 2025 – Kaggle & Certifications
  • Completed AI Agents Intensive (Kaggle × Google)
  • Earned Kaggle badges (Datasets, Notebooks, Competitions)
  • 📜 AI Agents Certificate
  • 📜 Machine Learning Certificate

✨ 🛠️ Languages & Tools

🏆 Competitive Programming & Profiles

📊 GitHub Stats

🐍 Contribution Snake

✍️ Random Dev Quote

🎯 2026 Goals

⭐ Consistently learning through hands-on projects 🚀 ⭐

Popular repositories Loading

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    This is my first repository

  2. Panda-Cheatsheet Panda-Cheatsheet Public

    # 🐼 Pandas Cheat Sheet A quick reference guide for using the Pandas library in Python. Perfect for beginners and intermediate data analysts. --- ## 📦 Importing ```python import pandas as pd import …

  3. IMPORTING-PANDAS- IMPORTING-PANDAS- Public

    MyData = { 'Names' : ["Nikita"," Divya","Prayanshu","Raghav","Nikki","Anu"], 'index' : [1,2,3,4,5,6] } myvar = pandas.DataFrame(MyData) print(myvar)

  4. Pandas-DataStructures Pandas-DataStructures Public

    What is a Series? A Pandas Series is like a column in a table. It is a one-dimensional array holding data of any type.

  5. READ-CSV-FILES-THROUGH-NUMPY- READ-CSV-FILES-THROUGH-NUMPY- Public

    Read CSV Files A simple way to store big data sets is to use CSV files (comma separated files). CSV files contains plain text and is a well know format that can be read by everyone including Pandas…

  6. PANDAS-DATA-CLEANING- PANDAS-DATA-CLEANING- Public

    Data Cleaning Data cleaning means fixing bad data in your data set. Bad data could be: Empty cells Data in wrong format Wrong data Duplicates