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Nikita1876/README.md


About Me

  • ๐Ÿ”ญ I'm currently working on Data Science projects & ML model deployment
  • ๐Ÿค I'm looking to collaborate on **Data Science, Machine Learning **
  • ๐Ÿ†˜ I'm looking for help with Deep Learning (CNNs, Transformers) & Open Source contributions
  • ๐ŸŒฑ I'm currently learning Deep Learning, NLP, RAG-based applications & Cloud (AWS)
  • ๐Ÿ’ฌ Ask me about Python, Data Analysis, Machine Learning, DSA & SQL
  • โšก Fun fact: I made 4600+ GitHub contributions while being a full-time CS student! ๐Ÿš€

Skills Highlighted:


๐Ÿ“… Milestone Timeline

๐Ÿš€ 2023 โ€“ Started Coding Journey

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

๐Ÿ’ป 2024 โ€“ Strengthened Core Concepts

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

๐Ÿ“Š 2024 โ€“ Entered Data Science & ML

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

๐Ÿ† 2025 โ€“ Kaggle & Achievements

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

๐Ÿ“ˆ 2025 โ€“ Projects & Practical Work

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

๐ŸŒ 2025 โ€“ Open Source & Contributions

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

๐ŸŽฏ 2026 โ€“ Current Focus

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

๐Ÿ”ฎ Future Goals

  • Build advanced NLP projects
  • Contribute to open-source ML projects
  • Secure internship at a top tech/startup company ๐Ÿ† 2025 โ€“ Kaggle & Certifications
  • Completed AI Agents Intensive (Kaggle ร— Google)
  • Earned Kaggle badges (Datasets, Notebooks, Competitions)
  • ๐Ÿ“œ AI Agents Certificate
  • ๐Ÿ“œ Machine Learning Certificate

โœจ ๐Ÿ› ๏ธ Languages & Tools


๐Ÿ† Competitive Programming & Profiles


๐Ÿ“Š GitHub Stats


๐Ÿ Contribution Snake



โœ๏ธ Random Dev Quote

๐ŸŽฏ 2026 Goals

โญ Consistently learning through hands-on projects ๐Ÿš€ โญ


Popular repositories Loading

  1. Nikita Nikita Public

    This is my first repository

  2. Panda-Cheatsheet Panda-Cheatsheet Public

    # ๐Ÿผ Pandas Cheat Sheet A quick reference guide for using the Pandas library in Python. Perfect for beginners and intermediate data analysts. --- ## ๐Ÿ“ฆ Importing ```python import pandas as pd import โ€ฆ

  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 Pandasโ€ฆ

  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