Parthasarathi Das
Senior Data Scientist | Applied Scientist | Machine Learning & GenAI
Kolkata
Summary
Senior Data Scientist with 5+ years of experience designing and deploying production-grade data solutions and applied machine learning systems across consulting, media & entertainment, retail, and enterprise domains. Indian Statistical Institute (ISI) alum with a strong foundation in computer science, applied mathematics, statistics, and predictive analytics. Proven expertise in algorithms, optimization, forecasting, experimentation (A/B testing), and causal inference, delivering measurable improvements in cost efficiency, latency, and business outcomes. Hands-on experience building scalable production systems, integrating APIs, measurement frameworks, and model monitoring in agile, global team environments. Experienced in product analytics, business analytics, and cross-functional collaboration with product managers, with working knowledge of NLP, LLM fine-tuning, RAG pipelines, and autonomous decision-support systems.
Overview
6
6
years of professional experience
4039
4039
years of post-secondary education
4
4
Certificates
Work History
Data Scientist
Deloitte
07.2024 - Current
- Led an enterprise-scale cost optimization and spend forecasting initiative for a global media & entertainment client, delivering a 75% reduction in production overspend across multiple lifecycle stages.
- Designed and deployed production-grade forecasting models using XGBoost with spline-based and affine feature transformations to handle sparse early-stage signals.
- Built a dual-model framework supporting both placeholder and active titles, improving forecast accuracy and robustness under high volatility.
- Developed scalable feature engineering pipelines at title and lifecycle level, enhancing sensitivity to cost drivers and operational constraints.
- Implemented model governance, validation checks, and data drift monitoring, ensuring long-term reliability, auditability, and stakeholder trust.
- Optimized end-to-end pipeline runtime to under 8 minutes, enabling rapid experimentation, faster decision-making, and enterprise adoption.
Senior Consultant
Ernst & Young India
10.2023 - 06.2024
- Owned and delivered an end-to-end sales forecasting platform, covering problem scoping, solution design, model development, deployment, and post-production optimization.
- Built and deployed machine learning models using XGBoost, Random Forest, and Neural Networks, integrating MLOps best practices for monitoring and version control.
- Led hands-on data engineering and feature engineering, improving pipeline reliability, data quality, and forecast stability.
- Partnered with business and product stakeholders to translate model outputs into actionable insights, directly influencing sales planning and KPI definition.
- Developed executive dashboards to monitor forecast accuracy, drivers, and model performance, enabling continuous feedback loops.
Consultant
Ernst & Young India
04.2022 - 09.2023
- Designed and productionized a scalable Forecast Engine using Databricks and PySpark, enabling repeatable forecasting across multiple business use cases.
- Applied price elasticity modeling using Ridge, Lasso, and Elastic Net regression to quantify pricing impact on weekly sales volumes.
- Implemented standardized ML pipelines for training, validation, and deployment, improving operational efficiency and reuse.
- Collaborated with cross-functional teams to ensure statistical rigor, interpretability, and business alignment.
Data Analyst
Louis Dreyfus Company
01.2022 - 03.2022
- Developed a rainfall reporting dashboard using IMD and JAXA datasets, applying Python and T-SQL for data processing and Power BI for visualization, with version control and CI support via GitLab and Jenkins.
- Contributed to the development of a time-series forecasting model for rainfall prediction, supporting data preparation, exploratory analysis, and model evaluation under guidance from senior team members.
Data Science Consultant
Capgemini India Pvt. Ltd
10.2020 - 12.2021
- Worked on an HR analytics project involving data collection through web scraping, data cleaning, and exploratory analysis, followed by the application of basic predictive modeling techniques to identify trends and patterns relevant to workforce planning.
- Performed time-series forecasting for financial services data, implementing and comparing classical models such as Moving Average, ARIMA, ARIMAX, and Holt-Winters to understand seasonal patterns, trends, and forecast accuracy.
Data Science Intern
MiQ Digital India Pvt. Ltd
02.2020 - 10.2020
- Supported the development of a recommender system and e-commerce data pipeline by assisting with data preparation, exploratory analysis, and testing under the guidance of senior data scientists and engineers.
- Performed feature engineering tasks within Ads Data Hub, helping transform raw advertising data into structured features for downstream modeling and performance analysis.
Education
Master of Science - Quality Management, Reliability, Maintainability & Safety (RMS), Applied Statistics, Operations Research, Pattern Recognition
Indian Statistical Institute Bangalore Centre
Bangalore06.2020
Bachelor of Technology - Electronics and Communication Engineering
Maulana Abul Kalam Azad University of Technology
Hooghly07.2017
Skills
Programming & Engineering
Python, PySpark, SQL, APIs, Production Code, Agile Development
Computer Science & Mathematics
Algorithms, Computational Complexity, Applied Mathematics, Statistical Concepts
Machine Learning & Analytics
Predictive Analytics, Time Series Forecasting, Clustering, PCA, Simulation, Optimization
Applied AI & NLP
Natural Language Processing (NLP), Large Language Models (LLMs), Fine-Tuning, RAG, Agentic Systems (Applied)
Experimentation & Decision Science
A/B Testing, Causal Inference, Measurement Systems, Risk Analytics
Data Platforms & Big Data
Databricks, BigQuery, Snowflake, Hive
Product & Business Analytics
Product Analytics, Business Analytics, Marketing Analytics, Supply Chain Optimization, Retail Domain Knowledge
Ways of Working
Agile Environments, Global Teams, Stakeholder Communication, Mentoring, Accountability, Proactive Ownership
Certification
Introduction to Big Data
Coursera 11/2020 - 12/2020
Timeline
Data Scientist
Deloitte
07.2024 - Current
Senior Consultant
Ernst & Young India
10.2023 - 06.2024
Consultant
Ernst & Young India
04.2022 - 09.2023
Data Analyst
Louis Dreyfus Company
01.2022 - 03.2022
Data Science Consultant
Capgemini India Pvt. Ltd
10.2020 - 12.2021
Data Science Intern
MiQ Digital India Pvt. Ltd
02.2020 - 10.2020
Master of Science - Quality Management, Reliability, Maintainability & Safety (RMS), Applied Statistics, Operations Research, Pattern Recognition
Indian Statistical Institute Bangalore Centre
Bachelor of Technology - Electronics and Communication Engineering
Maulana Abul Kalam Azad University of Technology
Accomplishments
- ISI Entrance 2018-06: Achieved AIR 9th Rank
- Violin Grade 4 Practical, ABRSM 2024-10: Achieved distinction grade in Grade 4 violin practical exam conducted by ABRSM
Hobbies and Interests
- Playing Game
- Music
- Violin & Guitar
- Hiking