I am a Data Scientist with 3+ years of cross-industry experience, specializing in predictive analytics and machine learning solutions that drive operational efficiency and revenue growth. I translate unstructured data into actionable insights using NLP and deep learning, bridging technical rigor with stakeholder needs through clear visualizations. I work with Python and SQL to develop end-to-end ML solutions that deliver measurable business impact. Highlights from my recent roles include building an XGBoost-based ETA prediction model at Blusmart that reduced trip delays by 20%, decreased delay-related cancellations by 10%, and cut driver penalty complaints by 12%. I also contributed to US Consumer Credit Risk modeling at American Express, improving identification of high-risk defaulters and enabling substantial loss reduction, while automating UAT/PIV testing and monitoring workflows. I enjoy collaborating with cross-functional teams and presenting results to leadership.

Ritesh Manna

I am a Data Scientist with 3+ years of cross-industry experience, specializing in predictive analytics and machine learning solutions that drive operational efficiency and revenue growth. I translate unstructured data into actionable insights using NLP and deep learning, bridging technical rigor with stakeholder needs through clear visualizations. I work with Python and SQL to develop end-to-end ML solutions that deliver measurable business impact. Highlights from my recent roles include building an XGBoost-based ETA prediction model at Blusmart that reduced trip delays by 20%, decreased delay-related cancellations by 10%, and cut driver penalty complaints by 12%. I also contributed to US Consumer Credit Risk modeling at American Express, improving identification of high-risk defaulters and enabling substantial loss reduction, while automating UAT/PIV testing and monitoring workflows. I enjoy collaborating with cross-functional teams and presenting results to leadership.

Available to hire

I am a Data Scientist with 3+ years of cross-industry experience, specializing in predictive analytics and machine learning solutions that drive operational efficiency and revenue growth. I translate unstructured data into actionable insights using NLP and deep learning, bridging technical rigor with stakeholder needs through clear visualizations. I work with Python and SQL to develop end-to-end ML solutions that deliver measurable business impact.

Highlights from my recent roles include building an XGBoost-based ETA prediction model at Blusmart that reduced trip delays by 20%, decreased delay-related cancellations by 10%, and cut driver penalty complaints by 12%. I also contributed to US Consumer Credit Risk modeling at American Express, improving identification of high-risk defaulters and enabling substantial loss reduction, while automating UAT/PIV testing and monitoring workflows. I enjoy collaborating with cross-functional teams and presenting results to leadership.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

AI Intern at Legal Pythia
June 1, 2025 - July 1, 2026
Built and deployed a web-based Artifact Guessing Challenge using Docker and Gemini on Google Cloud Platform, enabling users to guess artifact identities based on AI-generated hints and achieving a 35% increase in engagement. Implemented CI/CD pipelines with GitHub Actions and version control via Git.
Data Scientist at BluSmart
May 1, 2023 - July 1, 2024
Developed an XGBoost-based ETA prediction model using historical trip data, reducing trip delays by 20%, delay-related cancellations by 10%, and lowering driver penalty complaints by 12%. Implemented MLFlow for experiment tracking and leveraged a feature store and deployment workflow on SageMaker. Engineered a predictive supply model using Random Forest and a real-time scheduling script to optimize premium vehicle slots based on fleet distribution, increasing revenue per vehicle by 20%. Architected Bengaluru slot management by integrating real-time delays, vehicle availability, and trip-supply patterns, resulting in a 15% revenue per car increase. Automated stakeholder dashboards and alerting workflows using Redash, BigQuery, Looker Studio, and Tableau, improving efficiency by 80%.
Data Science Analyst at American Express
October 1, 2021 - April 1, 2023
Led calibration testing for US Consumer Credit Risk models using simulation datasets, enhancing identification of high-risk users and increasing default capture rate by 1%. Automated model validation pipeline leveraging UAT and PIV test frameworks to validate risk model scores, reducing validation time by 30%. Performed feature selection for Credit Risk models using SHAP values, removing 6 uninformative features and improving default capture by 3 bps.

Education

Joint Masters in Data Science and Artificial Intelligence at Indian Institute of Technology Madras – University of Birmingham
January 1, 2024 - January 6, 2026
Bachelors in Electronics and Communication Engineering at Indian Institute of Technology Dhanbad
January 1, 2017 - January 1, 2021
Master of Science in Data Science and Artificial Intelligence at University of Birmingham - Indian Institute of Technology Madras
July 1, 2024 - January 1, 2026
Bachelor of Technology in Electronics and Communication Engineering at Indian Institute of Technology Dhanbad
July 1, 2017 - May 1, 2021

Qualifications

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Industry Experience

Financial Services, Transportation & Logistics, Software & Internet, Professional Services