Mohamed Ansari

B.Tech Computer Science and Engineering Student | Aspiring Data Scientist
Chennai, IN.

About

Highly motivated B.Tech Computer Science and Engineering student with a robust foundation in software development, data structures, and a strong passion for Data Science, AI, and Machine Learning. Currently advancing through the IIT Madras BS Degree in Programming and Data Science, I possess hands-on experience in data analysis, model building, and evaluation through practical projects and an AI/ML internship. Eager to apply analytical and problem-solving skills to contribute to innovative solutions in a challenging internship or entry-level role.

Work

Edunet Foundation
|

Machine Learning Intern with AI AZURE

Summary

Executed an AI/ML internship, gaining practical experience in machine learning workflows and contributing to model development and evaluation.

Highlights

Successfully implemented core machine learning concepts and workflows, enhancing practical understanding of AI/ML pipelines.

Conducted end-to-end data preprocessing, feature engineering, and model training using relevant ML libraries.

Evaluated model performance using key metrics, identifying optimal algorithms for specific use cases.

Applied diverse AI/ML techniques to solve real-world problems as part of the AICTE internship program.

Education

Panimalar Engineering College
Chennai, Tamil Nadu, India

B.Tech

Computer Science And Engineering

Grade: CGPA - 8.77

IIT Madras

BS Degree (Foundation Level)

Programming and Data Science

Courses

Completed The Foundation Course From IITM BS DEGREE Course In Programming And Data Science

GREEN PARK INT SCHOOL
Namakkal, Tamil Nadu, India

Higher Secondary Education

Grade: Percentage - 87%

Certificates

Data Base Management System

Issued By

NPTEL

Skills

Programming Languages

Python, SQL, Java, C.

Data Science & Machine Learning

Data Structures and Algorithms, Data Science Tools, Machine Learning Fundamentals, Mathematics & Statistics for ML.

Projects

Music Recommendation System

Summary

Designed and developed an AI/ML-driven music recommendation system as part of the AICTE internship program.