KRUPAL MESHRE profile photo 1 on Tal

KRUPAL MESHRE

Data Scientist/Gen AI experts/ RAG/Langchain/Pyspark/Prompt Engineering/Microsoft Fabric

Haveli

8+ years of work experience

WNS
Nov 20187 yrs 7 mosPresent

Pune District, Maharashtra, India

WNS
Nov 20186 yrs 9 mosJul 2025

On-site

• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data Skills: POWERBI · MySQL · Statistical Data Analysis · Tableau · Machine Learning · Python (Programming Language)
WNS
Nov 20185 yrs 3 mosJan 2024

On-site

• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data
Careerera -SNVA EduTech
Jul 202211 mosMay 2023

New Delhi, Delhi, India

• Developed machine learning and statistical models, including survival analysis for Pixel smartphones lifespan prediction, promotion analysis to assess sales impact, and NLP-driven social listening for launch analysis.• Developed machine learning and statistical models, including survival analysis for Pixel smartphones lifespan prediction, promotion analysis to assess sales impact, and NLP-driven social listening for launch analysis.

Education

DATA SCIENTIST, Data Science

SNVA

20221 yr2023
Sant Gadge Baba Amravati University, Amravati

B.Sc Maths

Sant Gadge Baba Amravati University, Amravati

20065 yrs2011

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Headline

Data Scientist/Gen AI experts/ RAG/Langchain/Pyspark/Prompt Engineering/Microsoft Fabric

About

I am a data scientist with MS in Information Systems. I specialize in utilizing Python for machine learning, predictive analysis, data cleaning, preprocessing, feature engineering, exploration, validation, and deployment. I have 5 years of hands-on professional experience in the data science field. My primary focus and interest lie in leveraging machine learning applications to solve real-world problems. I am dedicated to continuously growing my career in this area and aspire to become a team leader, driving large-scale development projects that truly make a difference. Beyond my professional endeavors, I am also deeply passionate about teaching data science. As the founder of an e-learning company, Data Mastery Academy, I actively contribute to the education of aspiring individuals, equipping them with the knowledge and skills required for success in the data science domain. I find immense joy in sharing my expertise and helping others embark on their own data science journeys. I am constantly seeking opportunities to collaborate, learn, and make a positive impact in the data science community. Let's connect and explore how we can contribute to the evolving field of data science together. Language and frameworks: Python (scikit-learn, pandas, numpy, statsmodels, matplotlib, etc...) | Cloud Services (AWS) | Big Data (Pyspark) | SQL | Data Visualization (Tableau)

Location

Haveli

Work experience

Data Scientist at WNS, Nov 2018 - Present · 7 yrs 7 mos, Pune District, Maharashtra, India

Sr Associate at WNS, Nov 2018 - Jul 2025 · 6 yrs 9 mos, On-site, • Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data Skills: POWERBI · MySQL · Statistical Data Analysis · Tableau · Machine Learning · Python (Programming Language)

Sr Associate at WNS, Nov 2018 - Jan 2024 · 5 yrs 3 mos, On-site, • Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization.• Design and implement advanced fraud detection algorithms using Python, Pyspark, and Hadoop, resulting in significant risk reduction for vulnerable accounts. • Implement fraud detection model using advanced feature engineering, achieving a 20% performance boost, 50% memory savings, and 25% faster processing. Received a Year-End Recognition Award for outstanding model optimization. Skills: Data Science · Python · Machine Learning · Python (Programming Language) · PySpark · Hadoop · Data Analysis · SQL · Big Data

Data Analytic at Careerera -SNVA EduTech, Jul 2022 - May 2023 · 11 mos, New Delhi, Delhi, India, • Developed machine learning and statistical models, including survival analysis for Pixel smartphones lifespan prediction, promotion analysis to assess sales impact, and NLP-driven social listening for launch analysis.• Developed machine learning and statistical models, including survival analysis for Pixel smartphones lifespan prediction, promotion analysis to assess sales impact, and NLP-driven social listening for launch analysis.

Education

DATA SCIENTIST, Data Science, SNVA

B.Sc Maths, Sant Gadge Baba Amravati University, Amravati