Summary
Overview
Work History
Education
Skills
Project
Timeline
Generic

MOHAMED AFZAL

Coimbatore

Summary

Analytical B.Tech student in Artificial Intelligence & Data Science skilled in Python, SQL, and Excel. Focused on data visualization and machine learning, with hands-on experience in analytical projects. Committed to leveraging technical skills to enhance team performance and achieve organizational objectives.

Overview

2
2
years of professional experience

Work History

Full Stack Developer Intern

UK INFOTECH
Pudukkottai
12.2024 - 01.2025
  • Supported UK INFOTECH web applications with front-end and back-end tasks.
  • Partnered with developers in technology selection and implementation.

Prompt Engineer Intern

Intershala
Online
12.2025 - 01.2026
  • Designed prompt templates for Intershala learning platform content tasks.
  • Documented prompt guidelines for team use across content workflows.
  • Updated prompts for chat support and course discovery tasks.

Data Science Intern

ThiranEx
Online
06.2026 - 07.2026
  • Built dashboards for internal reporting needs.
  • Presented findings to supervisors and project stakeholders.
  • Created visualizations of data with Tableau & PowerBI.

Education

B.Tech - Artificial Intelligence & Data Science

SNS COLLEGE OF ENGINEERING
COIIMBATORE, TAMILNADU
05-2028

HSLC -

SFS MATRIC HR SEC SCHOOL
PUDUKKOTTAI, TAMILNADU
04-2024

Skills

  • Machine learning
  • Python programming
  • Power BI
  • SQL querying
  • Tableau dashboards
  • Prompt engineering
  • Front-end frameworks
  • Problem-solving
  • Data visualization
  • Excel functions

Project

  • Car Price Prediction A machine learning project that predicts the selling price of cars based on features such as brand, model, year, mileage, fuel type, and other vehicle specifications.
  • Rainfall Prediction A machine learning project that predicts rainfall based on historical weather and environmental data. The model analyses relevant features to provide accurate rainfall predictions.
  • Online payment fraud detection system A machine learning-based system that detects potentially fraudulent online payment transactions by analysing transaction patterns, user behavior, and risk factors to identify suspicious activities and improve payment security.
  • Diabetic prediction A machine learning project that predicts the likelihood of diabetes based on health and clinical features such as glucose level, blood pressure, BMI, age, and other medical attributes.

Timeline

Data Science Intern

ThiranEx
06.2026 - 07.2026

Prompt Engineer Intern

Intershala
12.2025 - 01.2026

Full Stack Developer Intern

UK INFOTECH
12.2024 - 01.2025

B.Tech - Artificial Intelligence & Data Science

SNS COLLEGE OF ENGINEERING

HSLC -

SFS MATRIC HR SEC SCHOOL
MOHAMED AFZAL