---
title: "Ganeshkumar Patel - Data Science Specialist in Bengaluru | Tal"
description: "Meet Ganeshkumar Patel, Specialist Data Science@LTIMindtree| Senior Data Engineer(R&D)@Finquest|Data Scientist | Python | Machine Learning | SQL | Deep Learning | LSTM | NLP | Pytesseract | Excel | Tableau. based in Bengaluru. AI stack includes cursor, hugging face, and langchain."
image: "https://tal.club/meet/ganeshkumar-patel/share-image"
---

# Ganeshkumar Patel on Tal

## Headline

Specialist Data Science@LTIMindtree\| Senior Data Engineer\(R&D\)@Finquest\|Data Scientist \| Python \| Machine Learning \| SQL \| Deep Learning \| LSTM \| NLP \| Pytesseract \| Excel \| Tableau\.

## About

Results\-driven Data Science specialist, Data Engineer & Machine Learning Engineer with a strong track record of building scalable data pipelines and optimizing ETL workflows\. Proficient in Python and SQL, with proven expertise in data integration, analytics, and workflow automation\. Skilled in working with both relational and non\-relational databases to ensure seamless data management and high\-performance systems\.

## Location

Bengaluru

## AI stack

cursor

hugging face

langchain

ollama

## Work experience

Data Science Specialist at LTM, Sep 2025 \- Present · 8 mos, Bengaluru, Karnataka, India

Senior Data Engineer at Finquest, Jan 2025 \- Aug 2025 · 8 mos, Bengaluru, Karnataka, India · Hybrid, Revenue estimation \- Developed an multi classification ensemble model \(XGBoost, LightGBM, Random Forest\) with 79% accuracy \(↑22% from baseline\) for revenue bracket prediction\. Enhanced feature space by integrating external GDP data and applied stacking techniques\. Optimized hyperparameters using Optuna, reducing MBDOE by 5%\. Compared model performance using F1 Score, balanced accuracy, and business\-specific error metrics \(MBDOE – mean bracket distance on error\)\. Profile Matching \- Achieved 8x increase in the speed of the internal library for company profile matching using Postgres and Python, through strategic modifications\. Automatic Register Updates\(ARGUS\) \- Automate the extraction, transformation, and loading of data from open\-source government company registers\. Skill’s: ETL, Python, Airflow, Docker, Web Scrapping, Remote Servers, MongoDB

Data Engineer at Finquest, Jul 2022 \- Jan 2025 · 2 yrs 7 mos, Bengaluru, Karnataka, India · Hybrid, Redesigned ETL infrastructure using Python and MongoDB, automating 85% of manual data processes \. · Implemented fuzzy logic matching for multi\-source data merging, reducing data integration errors by 40%\. Company name cleaner \- Optimized company name cleaning algorithm \(leveraging regex, string similarity metrics\), achieving 10x performance boost \(from 1hr to 6min processing time\) Library for Improve Quality Assurance\(LIQA\) \- Automated data transformation pipeline, ensure data quality and transform raw data into a standardized format suitable for analysis, reporting, and storage\. Skill’s: Data cleaning, Python, Regex, Pandas, Pyspark Profile Matching \- The goal of the project is to match newly inserted data with existing database records to minimize duplicates\. It prioritizes updating old records with additional fields from the input data\. Skill’s: Python, Fuzzy logic, Remote servers, Machine Learning, SQL, Data Modeling, Json

ASSOCIATE PROCESS MANAGER \(DATA SCIENCE\) at eClerx, Mar 2022 \- Jun 2022 · 4 mos, Performed data analysis to identify and address key business problems\. Validated outputs of analytical and machine learning models for accuracy and reliability\.

Senior Production Engineer at Aum Dia Technologies, May 2021 \- Jan 2022 · 9 mos, Surat, Gujarat, India, Accountable for supplier production line improvement to ensure continuous production at company end\. Developed strategies and excel s

Quality Assurance Engineer at Atul Auto Ltd\., Jul 2018 \- Apr 2021 · 2 yrs 10 mos, Greater Rajkot Area, \-> Raising and timely closure PQFR in case of part quality issues, Evaluation of CAPA provided by suppliers against the raised issue and update PQFR database\. \-> Developed Supplier visit prediction model based on previous part defect occurrence and suggestions made for planning surprise visit to supplier according to their defect rate probability so that defects can be arrested before they occur

## Education

Bachelor of Engineering \- BE, Mechanical Engineering, Sanjivani College of Engineering kopargaon

Data scientist, Data science, Simplilearn Alumni

[View the original profile](https://tal.club/meet/ganeshkumar-patel)

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