Abhishek kumar M profile photo 1 on Tal

Abhishek kumar M

Student at Global Academy Of Technology

Bangalore Urban

< 1 year of work experience

MedTourEasy
Mar 20261 moApr 2026

Delhi

Project - Analysis of Chemical Components Contributed to healthcare analytics projects through data collection, cleaning, and analysis to support decision-making. Employed SQL, Tableau, R programming, and spreadsheets to extract data- driven insights for project recommendations. Performed analysis of chemical components to support project goals Developed and evaluated machine learning models that identified fraudulent financial transactions, enhancing detection capabilities. Applied data pre-processing, feature engineering, and model evaluation techniques, achieving higher prediction accuracy in fraud detection.
Takeitsmart
Oct 20241 moNov 2024

Bengaluru

Developed machine learning system for credit card fraud detection using historical transaction data. Designed, trained, and evaluated classification model to differentiate between fraudulent and genuine transactions. Collaborated with Machine Learning and Web Development departments for hands-on experience with real-world datasets. Gained expertise in model interpretability and performance evaluation techniques throughout the internship.

Abhishek’s AI Stack

claude code
claude code
gemini
gemini
grok
grok
notebooklm
notebooklm
openai
openai
perplexity
perplexity

Education

Global academy of technology

Global academy of technology

20214 yrs2025

Join Abhishek and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Abhishek kumar M on Tal

Headline

Student at Global Academy Of Technology

Location

Bangalore Urban

AI stack

claude code

gemini

grok

notebooklm

openai

perplexity

Work experience

Data Analytics Intern at MedTourEasy, Mar 2026 - Apr 2026 · 1 mo, Delhi, Project - Analysis of Chemical Components Contributed to healthcare analytics projects through data collection, cleaning, and analysis to support decision-making. Employed SQL, Tableau, R programming, and spreadsheets to extract data- driven insights for project recommendations. Performed analysis of chemical components to support project goals Developed and evaluated machine learning models that identified fraudulent financial transactions, enhancing detection capabilities. Applied data pre-processing, feature engineering, and model evaluation techniques, achieving higher prediction accuracy in fraud detection.

Machine Learning Intern at Takeitsmart, Oct 2024 - Nov 2024 · 1 mo, Bengaluru, Developed machine learning system for credit card fraud detection using historical transaction data. Designed, trained, and evaluated classification model to differentiate between fraudulent and genuine transactions. Collaborated with Machine Learning and Web Development departments for hands-on experience with real-world datasets. Gained expertise in model interpretability and performance evaluation techniques throughout the internship.

Education

Global academy of technology

Abhishek kumar M - Data Analytics Intern in Bangalore Urban | Tal