Soumyadipta Das

Analytics & AI Manager

EXL

Gurugram, Haryana, India · Hybrid

• Architected and developed a full-stack Capacity Forecasting application using Shiny on Databricks Apps from scratch, integrating custom ML models and an AI-powered chatbot to streamline resource planning.
• Optimized backend performance using PySpark within Databricks, reducing plan creation runtime by 94%, from 1.5 hours to 5 minutes.
• Commercialized internal AI assets by deploying a Code Translation solution to multiple external enterprise clients.
• Led a unified data migration framework for complex legacy ecosystems including SAS, Salesforce, and SAP into a modern Databricks Lakehouse architecture.
• Designed automated Databricks pipelines with custom error detection and alerting for high data integrity with minimal manual intervention.
• Orchestrated large-scale ETL workflows using PySpark for high-volume data ingestion and transformation while maintaining strict data quality standards.
• Provided technical leadership across code quality, architecture, MLOps practices, and stakeholder translation.
• Mentored junior data scientists and engineers across Python, PySpark, and cloud architecture practices.

• Azure Databricks
• PyShiny
• Project Management
• Product Development
• PySpark
• Azure DevOps Services
• Microsoft Azure
• Data Science
• Time Series Analysis
• Machine Learning
• SQL

Lead Assistant Manager

EXL

Gurugram, Haryana, India · Hybrid

• Developed an AI-powered chatbot inside a Shiny-based ML forecasting platform, streamlining FTE planning and enabling 70% faster scenario-based decision-making through self-service analytics.
• Led a team of data scientists to upgrade demand forecasting models with complex feature engineering, clustered weather patterns, and market indicators.
• Collaborated with clients across utilities, finance, and ecommerce to design and execute strategic operational plans.
• Automated reporting workflows to improve insight generation and reduce manual effort.
• Developed and deployed digital and AI-driven forecasting solutions that contributed to new revenue streams.

• Statistics
• Statistical Data Analysis
• SQL
• Data Modeling
• Data Visualization
• Azure DevOps Services
• PySpark
• R Programming
• Data Analysis
• Artificial Intelligence
• R Shiny
• Azure Databricks
• Streamlit
• Data Science
• PyShiny

Assistant Manager

EXL

India · Remote

• Led migration of legacy SAS workflows for long-term capacity planning to Azure Databricks using PySpark.
• Built scalable machine learning pipelines for demand planning and inventory optimization.
• Enhanced data engineering operations with automated ETL pipelines in Databricks and Azure.
• Conducted root-cause analysis on demand anomalies using statistical techniques and time-series decomposition.

• Statistics
• SQL
• PySpark
• R Programming
• Microsoft Excel
• R

Statistical Trainee

Indian Statistical Institute, Kolkata · Full-time

Kolkata, West Bengal, India · On-site

• Devised a method for index-number base-year optimization to improve analytical consistency in economic datasets.
• Compared computational efficiency and time complexity for algorithms fitting multiple regressions simultaneously.
• Evaluated non-parametric smoothing methods to identify techniques with minimum execution time.
• Prepared findings on computational efficiencies for non-parametric smoothing methods.
• Used R, Python, MS Excel, and STATA.

• Statistics
• R Programming
• Python
• STATA
• MS Excel

Research Intern

Indian Statistical Institute, Kolkata · Internship

Greater Kolkata Area · On-site

• Modeled and forecasted Index of Industrial Production time-series data.
• Completed the project "Modelling and Forecasting for IIP Time Series Data".
• Used R and Python for statistical modeling and forecast evaluation.

• Statistics
• R Programming
• Python

Data Scientist

InstaDataHelp Analytics Services · Freelance

Remote

• Performed statistical consulting for diverse industry clients, generating actionable insights through customized analytical pipelines.
• Applied advanced statistical modeling and hypothesis testing to support business reporting and operations.
• Delivered statistical analysis for client projects across varied datasets.
• Used R, Stata, SAS, MS Excel, Jamovi, XLMiner, XLSTAT, MATLAB, Minitab, and Octave.

• Statistics
• Statistical Modeling
• Hypothesis Testing
• R Programming
• Stata
• SAS
• MS Excel
• Jamovi
• XLMiner

Data Scientist

InstaDataHelp Analytics Services · Internship

Remote

• Worked on varied data science projects across statistical analysis and reporting workflows.
• Built early-stage statistical pipelines for project analysis and insight generation.
• Used R, Stata, SAS, MS Excel, Jamovi, XLMiner, and XLSTAT.

• Statistics
• R Programming
• Stata
• SAS
• XLSTAT

Student Member

Royal Statistical Society · Part-time

Glasgow, Scotland, United Kingdom · Remote

• Statistics
• R Programming