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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

Real-Time Income prediction for Living Citizen Using Machine Leaning Tech Stack used : DecisionTreeClassifier,Flask, Python,pandas

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

Customer Segmentation Analysis Tech Stack used: PostgreSQL, Excel, Python, Sklearn

Delved into customer data to identify distinct segments based on demographics, behavior, and preferences. Utilized PostgreSQL, Python, and Sklearn for analysis and visualization, enabling targeted marketing strategies and improved customer experience.

HR Analytics - Employee Attrition Analysis Tech Stack used: PostgreSQL, Excel, Python, Sklearn, ML

Analyzed employee data to predict attrition risk factors. Leveraged PostgreSQL, Excel, Python, Sklearn, and ML techniques to identify key drivers of turnover, enabling proactive retention strategies and improving employee satisfaction.

Web Traffic Analysis for Marketing Tech Stack used: BigQuery, Power BI, Plotly

Analyzed website traffic data using BigQuery, Power BI, and Google Data Studio to identify trends, user behavior, and conversion funnels. Provided insights to optimize marketing campaigns, improve user experience, and drive business growth.

Let's Work Together


Call me:

+19 8525881902


Mail me:

matheshsankar307@gmail.com