Open to opportunities

Mahesh Vyas

@maheshvyas

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Motivated Computer Science student specializing in AI and ML.

India

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What I'm looking for

I am looking for an internship that fosters learning and real-world application of AI/ML technologies.

I'm Mahesh Vyas, a dedicated Computer Science (AI) student with a strong foundation in Python and Scikit-learn. My academic journey has equipped me with the skills to deploy machine learning models effectively using Flask and Streamlit. I am eager to apply my knowledge in a real-world setting, particularly in an AI/ML internship at LineupX, where I can contribute to model development and deployment while enhancing my understanding of advanced MLOps and collaborative AI practices.

Throughout my education, I have successfully completed several projects, including an end-to-end ML pipeline for Titanic Survival Prediction and a Streamlit dashboard for House Price Prediction. These experiences not only honed my technical skills but also taught me the importance of user-friendly interfaces and data-driven insights. I am passionate about leveraging technology to solve real-world problems and am continuously seeking opportunities to learn and grow in the field of artificial intelligence.

Experience

Work history, roles, and key accomplishments

Front End Developer

Self-Employed

Designed and developed a static portfolio website. Implemented the site using HTML, CSS, and JavaScript.

HTML CSS JavaScript Web Development

Machine Learning Developer

Self-Employed

Built a classification model with engineered features (Title, FamilySize). Tuned Random Forest (ROC-AUC: 0.88) and deployed via Flask API.

Python Git Pandas Flask API XGBoost Machine Learning Data Engineering

Data Scientist

Self-Employed

Built and deployed a regression model with log-transformed targets. Developed a live app using 5 key features for a clean, user-friendly interface.

Git Pandas Streamlit Matplotlib Machine Learning Regression Modeling

NLP Engineer

Self-Employed

Built an NLP classifier using CountVectorizer and Naive Bayes to detect spam messages, achieving 97% accuracy. Deployed an interactive Streamlit app for real-time prediction.

NLP Streamlit CountVectorizer Naïve Bayes Machine Learning Python Data Science

Data Analyst

Self-Employed

Analyzed over 10,000 transactions to identify top items and peak hours. Visualized seasonal sales trends and payment behavior using Pandas and NumPy.

Pandas NumPy Matplotlib Git Data Analysis Data Visualization

Full Stack Developer

Self-Employed

Developed a notes application with full CRUD (Create, Read, Update, Delete) functionality. Utilized Django and SQLite for backend development.

Django SQLite Python Web Development HTML CSS JavaScript

Education

Degrees, certifications, and relevant coursework

Geetanjali Institute of Technical Studies, RTU

B.Tech, Computer Science (AI)

Grade: 7.4 CGPA

Pursuing a Bachelor of Technology in Computer Science with a specialization in Artificial Intelligence. Developing strong skills in Python and Scikit-learn, along with practical experience in deploying ML models using Flask and Streamlit.