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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.

Bengaluru

7+ years of work experience

LTM
Sep 20258 mosPresent

Bengaluru, Karnataka, India

Finquest
Jan 20258 mosAug 2025

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
Finquest
Jul 20222 yrs 7 mosJan 2025

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
eClerx
Mar 20224 mosJun 2022

Performed data analysis to identify and address key business problems. Validated outputs of analytical and machine learning models for accuracy and reliability.
Aum Dia Technologies
May 20219 mosJan 2022

Surat, Gujarat, India

Accountable for supplier production line improvement to ensure continuous production at company end. Developed strategies and excel s
Atul Auto Ltd.
Jul 20182 yrs 10 mosApr 2021

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

Ganeshkumar’s AI Stack

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Education

Bachelor of Engineering - BE, Mechanical Engineering

Sanjivani College of Engineering kopargaon

20103 yrs2013
Simplilearn Alumni

Data scientist, Data science

Simplilearn Alumni

20191 yr2020

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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

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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