I'm

Mathesh Sankar

AI Developer, Data Engineer, Data Analyst, ML Engineer, SQL Developer, Data Science, DL Engineer

4

Years

Artifical Intelligence and Data Science Academic Background.

Completed a 4-year B.Tech in Artificial Intelligence & Data Science, gaining hands-on experience through multiple projects in machine learning, data analysis, and AI applications, with a strong foundation in core AI principles.

Afordable Prices

High Quality Product

On Time Project Delivery

Happy Clients

5

Projects Completed

10

Skills & Experience

My Skills

Artifical Intelligence
80%
Data Science
90%
postgreSQL
80%
Machine Learing
90%
NLP & LLM
75%
Python
85%
Ethical Hacking Workshop

2023 - 2024

NIT Trichy
UI Path RPA and Automation

2022 - 2024

UI Path
Interpersonal Skills

2022 - 2024

Infosys Springboard
Artifical Intelligence

2021 - 2024

Sanfoundary
B.Tech(Artifical Intelligence & Data Science)

2020 - 2024

P.S.N.A College of Engineering and Technology
12TH

2019 - 2020

K.C.M Matric Higher Secondary School
10 th

2017 - 2018

Fusco"s Matriculation Higher Secondary School

My Projects

Hire Me

Real-Time Income prediction for Living Citizen Using Machine Leaning (DecisionTreeClassifier,Flask, Python,pandas)

This project aims to develop a machine learning model that accurately predicts the future income of living citizens. By analyzing various factors such as education, occupation, and demographic data,the model can provide valuable insights for financial planning and policymaking.

Heart Disease Prediction by using machine Learning (Matplotlip,Scikit-Learn,Python,ML pipeline)

medical datasets, such as patient age, cholesterolevels, and blood pressure, to predict the likelihood of heart disease. This can help healthcar professionals identify high-risk patients and provide early interventio.

Fraud Prediction in Financial Transactions using Machine Leaning (Pandas,Numpy,Matplotlib,Seaborn ,Scikit-Learn,Python)

The Fraud Detection Prediction model used to predict the Fraudulent activities happen in financial transactions and also tell how to prevent from fraud by providing the security measures that not come again in future.

.Ukraine Vs Russian war Sentiment Analysis using Machine Leaning (Pandas,Numpy,Matplotlib, NLKT,Scikit-Learn, Seaborn,Python)

Sentiment Analysis of the Ukraine vs. Russia war using Machine Learning involves processing social media and news data to gauge public opinion, track emotional trends, and understand global reactions to the conflict.

Let's Work Together

Call me:

+19 8525881902

Mail me:

matheshsankar307@gmail.com