Chintan Mehta profile photo 1 on Tal

Chintan Mehta

Learner!

Bengaluru

6+ years of work experience

Infogain
Aug 20251 yr 3 mosPresent

Hybrid

Open Insights
Aug 20213 yrs 10 mosMay 2025

Pune, Maharashtra, India

Open Insights
May 20213 mosJul 2021

Pune, Maharashtra, India

Hawkeye MedTech
Aug 20208 mosMar 2021

- Developing a rules-based expert system with json-rules-engine - The system is supposed to predict the possible disease/illness based on the set of symptoms showed by the patient - The expert system is then perfectly coordinated with a web-app and an android application
Mastek
Oct 20195 mosFeb 2020

Mumbai, Maharashtra, India

- Reached Semifinals; Selected in top 15 out of 200+ teams - Achieved 85% accuracy on ML model using Neural Networks - Developed & co-ordinated an Android app for patients - Synchronously developed Python desktop application for the receptionist
Jul 20192 mosAug 2019

Mumbai Area, India

Actively engaged in on-boarding quality professionals into the UrbanClap company to work with us as partners, which has direct relation to the business metrics of the category. - Work with SQL to create proper queries for particular scenarios - Create their digital portfolio in our website database

Chintan’s AI Stack

claude code
claude code
codex
codex
langchain
langchain
mcp
mcp
n8n
n8n

Education

Shah and Anchor Kutchhi Engineering College

Bachelor's degree, Computer Engineering

Shah and Anchor Kutchhi Engineering College

20183 yrs2021
Ramrao Adik Institute of Technology

Bachelor of Technology - BTech, Computer Engineering

Ramrao Adik Institute of Technology

20153 yrs2018

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Headline

Learner!

About

Experienced Data Scientist with 4+ years of delivering business impact through machine learning solutions across finance, retail, healthcare, and energy management industries. Expert in developing predictive models that drive decision-making and unlock actionable insights from complex datasets. Specialized in churn prediction, customer lifetime value modeling, and automated data extraction using leading-edge ML techniques. My track record includes implementing gradient boosting models that identified at-risk merchants, creating forecast models that improved financial planning, and developing OCR-based solutions that streamlined document processing workflows. I excel at translating technical analyses into strategic business recommendations that deliver measurable results. Having collaborated with cross-functional teams across multiple projects, I bring both technical proficiency and the ability to connect with stakeholders at all levels. Technical Expertise:- Machine Learning & AI: Gradient Boosting, XGBoost, Logistic Regression, Computer Vision, NLP Programming & Tools: Python, PySpark, SQL, Java, Tableau, ETL Processes Data Analysis: Statistical Modeling, Cohort Analysis, Customer Segmentation, Predictive Analytics Specialized Skills: OCR Implementation, Customer Lifetime Value Modeling, Competitive Analysis Currently seeking opportunities to solve complex business problems with data science. Open to connecting with fellow data professionals and industry leaders to exchange ideas and explore collaborations. Let's discuss how data can transform your business challenges into strategic advantages.

Location

Bengaluru

AI stack

claude code

codex

langchain

mcp

n8n

Work experience

Data Scientist at Infogain, Aug 2025 - Present · 1 yr 3 mos, Hybrid

Data Scientist at Open Insights, Aug 2021 - May 2025 · 3 yrs 10 mos, Pune, Maharashtra, India

Data Scientist at Open Insights, May 2021 - Jul 2021 · 3 mos, Pune, Maharashtra, India

AI Developer Intern at Hawkeye MedTech, Aug 2020 - Mar 2021 · 8 mos, - Developing a rules-based expert system with json-rules-engine - The system is supposed to predict the possible disease/illness based on the set of symptoms showed by the patient - The expert system is then perfectly coordinated with a web-app and an android application

Project Manager Team Lead at Mastek, Oct 2019 - Feb 2020 · 5 mos, Mumbai, Maharashtra, India, - Reached Semifinals; Selected in top 15 out of 200+ teams - Achieved 85% accuracy on ML model using Neural Networks - Developed & co-ordinated an Android app for patients - Synchronously developed Python desktop application for the receptionist

Category Management Intern at UrbanClap, Jul 2019 - Aug 2019 · 2 mos, Mumbai Area, India, Actively engaged in on-boarding quality professionals into the UrbanClap company to work with us as partners, which has direct relation to the business metrics of the category. - Work with SQL to create proper queries for particular scenarios - Create their digital portfolio in our website database

Education

Bachelor's degree, Computer Engineering, Shah and Anchor Kutchhi Engineering College

Bachelor of Technology - BTech, Computer Engineering, Ramrao Adik Institute of Technology