Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach.
Developed a predictive model to identify the likelihood of heart disease in patients using machine learning techniques Leveraged a dataset containing various medical attributes such as age, sex, blood pressure, cholesterol levels, and other health indicators. Implemented and compared multiple algorithms, including logistic regression, decision trees, and random forests, to determine the most accurate model.The project demonstrated a significant improvement in prediction accuracy
Developed a model to predict used car prices using a Kaggle dataset. Implemented regression algorithms and performed data preprocessing, feature engineering, and model evaluation. Enhanced accuracy through hyperparameter tuning, providing valuable insights for pricing strategies.
Implemented a machine learning model to detect credit card fraud using a dataset sourced from Kaggle. Applied techniques such as data preprocessing, feature engineering, and supervised learning algorithms like logistic regression and random forests. Achieved accurate fraud detection through rigorous model evaluation and optimization.
Infosys Spring Board :
Data Structures and Algorithms using Python Full-Stack Web Development with Django
IBM SKILLS BUILD :
Getting Started with Enterprise Data Science Getting Started with Enterprise-grade AI Journey to Cloud: Envisioning Your Solution
MATHWORKS :
MATLAB Fundamentals
Been CodeChef chapter Tech Lead and organized tech workshops.
A member of DE OFFROADERS TM (Bike riding community) The biggest adventure Himalayan Bike riding club and completed South India ride.