Hi, I'm

Tejaswi Yadav

Data-driven problem solver passionate about turning raw information into intelligent insights and real-world solutions.

About Me

I'm Tejaswi Yadav, an AI & Data Science student with a strong foundation in Python development, AI and data analysis. I am passionate about using technology to build intelligent, efficient, and user-centric solutions.

I have hands-on experience working with Django, FastAPI, Streamlit, MySQL, and various data visualization and ML frameworks, allowing me to develop scalable applications and data-driven systems. With a solid understanding of algorithms, problem-solving, and software engineering principles, I enjoy transforming complex challenges into clean, practical, and impactful solutions.

Beyond technical skills, I bring strong communication, collaboration, and adaptability, strengthened through my experience as a Teaching Assistant, where I guided students and supported their learning through hands-on mentorship.

Driven by curiosity and a deep interest in emerging technologies, I continuously explore advancements in AI/ML and strive to grow as an engineer who builds meaningful, real-world solutions. I'm eager to contribute to a team where innovation, learning, and impact go hand-in-hand.

Tejaswi Yadav

Skills & Expertise

Programming

Python Java SQL C Programming

Machine Learning

Numpy Pandas Scikit-learn seaborn Matplotlib Plotly

Algorithms

Regression Classification Ensemble Methods Clustering Feature Engineering Time Series

Deep learning

TensorFlow PyTorch Keras CNN RNN/LSTM Transformers Transfer Learning

Frameworks & Deployment

Django Streamlit FastAPI Flask Docker Render Git

Databases

Supabase MongoDB MySql

Featured Projects

Thinkly

Thinkly is a minimalist social media platform that lets users share their thoughts, upload photos, interact through likes and comments. Built with Django and featuring a sleek, modern UI with glassmorphism effects.

Python Django Django-ORM Bootstrap Git

Stockzyy

Built an end-to-end stock prediction system using Prophet for time-series forecasting with evaluation metrics like MAPE, MAE, MSE, and RMSE, integrated into an interactive Streamlit dashboard.

Streamlit Prophet yfinance Time series forecasting Evaluation metrics

Insurance premium category predictor

An end-to-end machine learning application that predicts insurance premium categories using a FastAPI backend for real-time inference, a Streamlit frontend for user interaction, and Docker for seamless containerized deployment.

python FastAPI Pydantic Streamlit Docker Render

Experience

Jun 2024 - Jan 2025

Instructor (Teaching Assistant)

irobokid

  • Facilitated hands-on sessions in Advanced Python, Arduino, and web development, fostering collaboration and engagement.
  • Guided students through practical projects to strengthen conceptual understanding, critical thinking, and problem-solving.
  • Provided personalized mentorship, offering tailored support for troubleshooting and enhancing problem-solving skills.

Get In Touch

I'm always interested in hearing about new opportunities, projects, or just chatting about data science and machine learning. Feel free to reach out!

Location

Mumbai,Maharashtra