Ritesh Kumar Mishra

B.Tech CSE student · Aspiring Data Science / Machine Learning Intern

Prayagraj, Uttar Pradesh, India

@ritesh_kumar_mishra

0 followers

🎓 B.Tech in Computer Science and Engineering at AKTU · Graduating 2028

About

B.Tech Computer Science student focused on Machine Learning and Data Science, with hands-on experience in Python, scikit-learn, NLP, and data preprocessing. Built end-to-end ML projects covering preprocessing, model training, evaluation, APIs, and deployment.

Education

2028

B.Tech in Computer Science and Engineering

BBS College of Engineering & Technology

Awarded by AKTU

Computer Science · 2024 – 2028

Computer Science · 2024 – 2028
2024

Class XII

New RSJ Public School

PCM · 2024

PCM
2022

Class X

New RSJ Public School

2022

Skills

<3 months

C Oop JSON NumPy Python Pandas Tf-Idf FastAPI Seaborn Pydantic Pipelines JavaScript Matplotlib Regression Naive Bayes scikit-learn Classification Model Evaluation Cross Validation Feature Engineering API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git GitHub MongoDB VS Code Jupyter Notebook

Projects

Patient Management API

FastAPI, Pydantic, Python, JSON

REST endpoints for patient-data management with Pydantic validation, HTTP exception handling, and JSON-based persistence.
Movie Recommendation System

Python, Pandas, Scikit-learn, Streamlit, TMDB API

Content-based recommendation system using movie metadata and similarity techniques, with an interactive Streamlit interface and TMDB API integration.
California Housing Price Prediction

Python, Pandas, Scikit-learn, Linear Regression, Random Forest

Regression pipeline using feature engineering, stratified sampling, preprocessing, and feature scaling, evaluated with RMSE and cross-validation.
SMS Spam Classifier

Python, NLP, Scikit-learn, TF-IDF, Multinomial Naive Bayes

NLP text-classification model using TF-IDF vectorization and Multinomial Naive Bayes, with the trained model and vectorizer persisted for reuse.
Telco Customer Churn Prediction

Python, Pandas, Scikit-learn, Logistic Regression, Random Forest

End-to-end churn prediction pipeline with missing-value imputation, categorical encoding, feature scaling, and cross-validation.
Student Mental Health Score Predictor

Python, Pandas, NumPy, Scikit-learn, Random Forest, Streamlit, FastAPI, Joblib

End-to-end regression application predicting a student's Mental Health Score from demographic, academic, lifestyle, stress, and social-media usage features. Includes preprocessing pipelines, model comparison, and deployment through Streamlit and FastAPI.

Courses & certifications

3-Day Generative AI Bootcamp · WikiClub Tech, United University
Open Machine Learning Workshop · Cognizance, IIT Roorkee

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.