Rushikesh Chalke

As a Python Data Scientist, I approach every challenge with a highly logical and meticulous mindset, driven by a deep ambition for mastery in my field. My diligent and pragmatic approach ensures that I consistently deliver precise and impactful data-driven solutions.

Experience

Python Data Scientist

Hexaware Technologies · Feb 2023 – Present

Not yet confirmed

• Contributed to development of an enterprise Al platform processing 500,000+ daily transactional records using PySpark and Spark SQL.
• Improved Customer Churn Prediction model accuracy to 88% through advanced feature engineering and hyperparameter tuning.
• Recognized with the Outstanding Contributor Award for enhancing model performance and optimizing inference efficiency, reducing cloud compute overhead.
• Developed personalized recommendation models to support cross-sell and revenue optimization strategies.
• Designed and deployed real-time ML inference APIs using FastAPI and Docker for seamless integration with business dashboards and admin systems.
• Built churn prediction models achieving 84% accuracy to support proactive customer retention initiatives.
• Developed NLP pipelines to analyze customer complaints and support tickets for sentiment analysis and issue classification.
• Engineered scalable ETL pipelines for processing telecom datasets including CRM, billing, and network logs.
• Supported Al-driven routing optimization models for improving network performance and reducing service disruptions.
• Designed fraud detection and anomaly detection models for real-time transaction risk scoring.
• Processed large-scale transactional datasets using PySpark for fraud pattern identification and risk profiling.
• Built RESTful APIs using Django REST Framework to serve fraud risk scores to operational systems.
• Contributed to reducing manual verification effort by deploying automated classification models.