Baliram Pinate

About Baliram Pinate

Data Scientist with over 5 years of experience in building and deploying Machine learning model solutions, performing EDA(exploratory data analysis), statistical analysis, preparing data, building machine learning models, and developing real-time dashboards and other business KPIs using my skills. Experience in building end to end robust efficient risk models to mitigate frauds and reduce losses, creating risk strategies for Fraud management and improve customer experience. Areas of expertise- Machine Learning models, Supervised and clustering models, Linear regression, Logistic regression, Ensemble Methods, Decision trees, Random Forest, AdaBoost,XGBoost, PCA. Other skills - Data analysis, Data Wrangling, Stastical analysis, Data extraction, feature engineering, Data preprocessing, Data visualization. Languages- Python, Advanced SQL & Snowflake. Python Libraries- Pandas, Scikit Learn, Numpy. Tools - AWS cloud, AWS Sagemaker, Dataiku.

Experience

1. Associate Decision Scientist

   Western Union

   Nov 2022 — Present · Pune, IN

   Designed and deployed end-to-end machine learning risk models to detect and prevent fraud, significantly reducing financial losses across high-risk transactions- Developed and implemented fraud risk strategies and rules for APAC and EUCIS portfolios, leveraging domain expertise, historical fraud patterns, and real-time transactional signals to proactively identify and block fraudulent activity- Supported the launch of new payment products by building scalable, adaptive risk frameworks tailored to business goals and evolving fraud vectors.

Education

• SINHGAD INSTITUTE OF TECHNOLOGY,LONAVLA

  Bachelor of Engineering - BE

  2016 — 2020