Rishubh Shah

About Rishubh Shah

Data professional with 6+ years of experience in analytics, machine learning, data modeling, and Python-based automation. I specialize in designing scalable data workflows that convert raw data into clean, structured, and business-ready outputs.My expertise spans Python, SQL, Snowflake, Tableau, Power BI, ML models, and cloud-supported data systems, allowing me to streamline complex processes and automate reporting at scale. I focus heavily on building robust data models, monitoring dashboards, automated workflows, and production-ready analytical solutions that directly support business decision-making.Core Skills:• Data Automation: Python scripts, scheduled reporting, API integrations, workflow automation• SQL & Modeling: Snowflake SQL, schema design, data modeling, query optimization, ETL logic• Dashboards & Monitoring: Tableau, Power BI, KPI dashboards, performance monitoring systems• Machine Learning: segmentation, scoring, prediction models, feature engineering• Cloud & Tools: AWS basics, Excel automation, Jupyter• Business Impact: simplifying complex processes, improving data quality, enabling faster insightsI enjoy architecting clean, scalable data systems and delivering solutions that make analytics faster, more reliable, and fully automated. Always exploring better ways to optimize data processes and build value-driven insights.

Experience

1. Senior Analyst - Data Science

   bluCognition

   Nov 2024 — Present · Mumbai, IN

   Credit Limit Increase (CLI) Strategy Developed the upgraded Credit Limit Increase strategy, starting with a risk-optimization framework to identify safe and creditworthy customer segments.Designed the limit-calculation logic for the optimized population, ensuring balance between growth, customer needs, and risk guidelines.Understood the existing Dataiku flow, improved key parts of the logic, and ensured full alignment with the platform’s decisioning pipeline.Worked with engineering / platform teams to integrate the solution into the production environment, ensuring smooth execution and minimal disruptions.Supported the end-to-end rollout, including validation, testing, and post-deployment performance checks.Led an external-data POC, evaluating new data attributes, assessing quality, identifying stable predictors, and finalizing their use-cases for underwriting and risk decisioning.Built a customer segmentation framework using clustering and decision-tree techniques to classify customers into meaningful behavioral and risk-based segments, enabling richer portfolio understanding.Created analytical flows and performance checks using SQL and Python to monitor portfolio movement, validate strategy outcomes, and support ongoing credit decisions.

Education

• SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

  Master's degree, Statistics

  2017

• Mithibai College of Arts Chauhan Institute of Science and A.J. College of Commerce and Economics

  Bachelor of Science - BS, Statistics