RC

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.

Open to

Pune · Mumbai · Bangalore

Work style

Hybrid, Remote

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Contact details — on requestProof of Work — on request

Experience

Hexaware Technologies

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.

Skills 0 proven through work

Also works with

Broadcast Join ImplementationData Salting ImplementationOptuna UsageGridSearchCV UsageTeamworkTechnical TroubleshootingDatabase Query OptimizationReproducible Deployment ImplementationTechnical DocumentationData TransformationRapid Application DevelopmentMinimum Viable Product DevelopmentScalable System DesignProject Architecture PlanningSystem EnhancementBusiness Value RealizationMLOps ImplementationIterative DesignReal-Time Systems DesignApplication DeploymentData EngineeringApplication MonitoringApplication Performance OptimizationDockerMachine Learning Model DeploymentF1 Score InterpretationRecall Metric InterpretationModel Metric Selection & InterpretationHyperparameter TuningK-Fold Cross-ValidationRandom Forest ModelingLogistic Regression ModelingModel Selection Trade-Off AnalysisFeature EngineeringHandling Data ImbalanceAnomaly DetectionData PreprocessingExploratory Data Analysis (EDA)Problem SolvingMarket SegmentationK-Means ClusteringXGBoost ModelingData Unification and NormalizationCustomer Behavior AnalysisFraud DetectionCustomer Churn PredictionFastAPI DevelopmentREST API Endpoint DevelopmentMachine Learning ApplicationPySparkETL Pipeline DevelopmentEnd-to-End Data Science Lifecycle ManagementPython DevelopmentData Science

Proof of Work

Proof of Work

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Education

Bachelor, Computer Science

Savitribai Phule Pune University · NaN — NaN

Contact details

Contact details

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