Mahesh Vyas
@maheshvyas
Motivated Computer Science student specializing in AI and ML.
What I'm looking for
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.
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.
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.
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.
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.
Full Stack Developer
Self-Employed
Developed a notes application with full CRUD (Create, Read, Update, Delete) functionality. Utilized Django and SQLite for backend development.
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.
Guru Nanak Sr. Sec. School, Udaipur
XII
Grade: 63%
Completed XII (Senior Secondary) education under the RBSE board. Achieved a grade of 63%.
Availability
Location
Authorized to work in
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