Mudasir Syed

About

B.Tech student in Artificial Intelligence & Machine Learning with hands-on experience building and deploying end-to-end machine learning applications using Python, scikit-learn, FastAPI, and Streamlit. Experienced in data preprocessing, feature engineering, model evaluation, and REST API development.

Experience

• AI Data Analytics Intern
  InAmigos Foundation

Education

• Bachelor of Technology in Artificial Intelligence & Machine Learning
  J.B. Institute of Engineering
  Artificial Intelligence & Machine Learning · Sep 2024 – Sep 2028

Skills

• Python
• Classification
• Feature Engineering
• Matplotlib
• Model Evaluation
• NumPy
• Pandas
• Streamlit
• scikit-learn
• Seaborn
• Supervised Learning
• Unsupervised Learning
• API Integration Understanding
• Sentiment Analysis
• Tokenization
• Regression
• Hyperparameter Tuning
• gradient descent
• Cross Validation

Projects

• Machine Learning Algorithms from Scratch
  NumPy

  Implemented core machine learning algorithms from scratch to understand mathematical optimization mechanics, including Linear Regression, Logistic Regression, Perceptron, Ridge Regression, and mini-batch and stochastic gradient descent.

• Sentiment Analysis Web Application
  Streamlit, TF-IDF, Logistic Regression, Pickle

  Interactive Streamlit web application for movie review sentiment analysis, classifying user inputs as positive or negative in real time. Uses TF-IDF vectorization and a Logistic Regression classifier with serialized models for deployment.

• MindMetric — Student Wellbeing Predictor
  Python, scikit-learn, pandas, FastAPI, Pydantic, HTML5, CSS3, JavaScript, Render

  Full-stack machine learning web application that estimates student mental wellbeing based on digital usage patterns, daily routines, and lifestyle habits. Includes a FastAPI backend with Pydantic validation and an interactive frontend deployed on Render.

Courses & certifications

• Customer Engagement · IBM SkillsBuild
• Problem Solving & Process Controls · IBM SkillsBuild
• Artificial Intelligence Fundamentals · IBM SkillsBuild

🏆 Achievements & awards

• 2nd Rank Smart Innovation Hackathon 2026 · 2026

  Secured 2nd place by conceptualizing and presenting an interactive AI prototype and system architecture demo under strict time constraints.