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chtejayadav/README.md

Hi πŸ‘‹, I'm CH Teja Yadav

Data Scientist | AI & ML Engineer | Software Developer


πŸ’« About Me

πŸŽ“ MCA (Artificial Intelligence & Machine Learning)

πŸ’Ό Former Data Science Intern at Siva Complete Solutions Pvt Ltd

πŸ€– Passionate about Artificial Intelligence, Machine Learning and Data Science

🌱 Currently Learning

  • Generative AI
  • LLMs
  • RAG
  • AWS
  • MLOps

πŸ’¬ Ask me about

  • Python
  • Machine Learning
  • Data Science
  • SQL
  • Power BI
  • Streamlit

πŸ“« Email

tejayadavch@gmail.com

πŸ“ Bengaluru, India


🌐 Connect with Me


πŸ’» Tech Stack

Machine Learning

  • Scikit-Learn
  • Pandas
  • NumPy
  • Matplotlib
  • NLP
  • Random Forest
  • TF-IDF
  • Cosine Similarity
  • Streamlit

πŸ“Š GitHub Stats


πŸš€ Featured Projects

πŸ’Š Drug Prescription Prediction

βœ” Random Forest

βœ” 95% Accuracy

βœ” Healthcare Prediction

https://github.com/chtejayadav/Drug-Prediction-RF


πŸ“š Book Recommendation System

βœ” TF-IDF

βœ” Cosine Similarity

βœ” Streamlit

https://github.com/chtejayadav/Book_Recommendation


🎬 Movie Recommendation System

βœ” Recommendation Engine

βœ” Machine Learning

https://github.com/chtejayadav/Movies_Recommendation_System


πŸ“„ Resume Screening

βœ” NLP

βœ” Text Classification

βœ” Recruitment Automation

https://github.com/chtejayadav/Resume-Screening


πŸ— Construction Stage Prediction

βœ” Computer Vision

βœ” Deep Learning

βœ” Streamlit

https://github.com/chtejayadav/Construction-Stage-Prediction


🌾 Crop Yield Prediction

βœ” Random Forest

βœ” Data Analysis

βœ” Agriculture AI

https://github.com/chtejayadav/Yield_RF


πŸ‘¨β€πŸ’Ό Job Role Prediction

βœ” NLP

βœ” Machine Learning

βœ” Classification

https://github.com/chtejayadav/Job_Role_Prediction


πŸ“ˆ Smile Guru Data Analysis

βœ” SQL

βœ” Power BI

βœ” Business Analytics

https://github.com/chtejayadav/Smile_Guru_Data_Analysis


πŸ’Ό Experience

Data Science Intern

Siva Complete Solutions Pvt Ltd

  • Developed Machine Learning Models
  • Built Power BI Dashboards
  • Data Cleaning
  • Data Preprocessing
  • SQL Analysis
  • Streamlit Deployment
  • Backend Python Development

πŸ† Certifications

πŸ… Machine Learning in Python

πŸ… IBM Data Science

πŸ… Data Science Internship

πŸ… Introduction to Data Analysis Using Excel

πŸ… Artificial Intelligence Fundamentals


πŸ“ˆ Contribution Graph


🐍 Contribution Snake

Snake animation


⭐ Thanks for visiting my profile ⭐

Popular repositories Loading

  1. Book_Recommendation Book_Recommendation Public

    This Streamlit Book Recommendation System suggests similar books based on genre and author using TF-IDF and cosine similarity. Users can select a book from a dropdown menu, and the system will reco…

    Jupyter Notebook

  2. nlp nlp Public

    This NLP project analyzes and classifies Twitter data using advanced NLP techniques. It includes data cleaning, sentiment analysis, and model evaluation with metrics like accuracy and recall. The r…

    Jupyter Notebook

  3. Drug-Prediction-RF Drug-Prediction-RF Public

    This project is a Machine Learning-based web application designed to predict the appropriate drug prescription for patients based on various health parameters. Using a Random Forest classification …

    Jupyter Notebook

  4. Yield_RF Yield_RF Public

    This project aims to analyze and predict agricultural yield using machine learning techniques, specifically the Random Forest algorithm. By leveraging historical yield data, the model can predict f…

    Jupyter Notebook

  5. Smile_Guru_Data_Analysis Smile_Guru_Data_Analysis Public

    This project analyzes Smile Guru website data using SQL for cleaning and Power BI for visualization. It provides insights into user behavior, page engagement, and device usage. Key findings help op…

  6. Job_Role_Prediction Job_Role_Prediction Public

    This project is a machine learning-based job role prediction system that analyzes resumes and predicts the most suitable job role. It utilizes Natural Language Processing (NLP) techniques to extrac…

    Jupyter Notebook