Anshuman Pathak
Data Scientist
Bengaluru,KA
Summary
Qualified Data Scientist with solid background in data analysis, predictive modeling, and machine learning. Proven track record of optimizing data-driven solutions to solve complex business challenges, leading to improved decision-making processes. Demonstrated expertise in statistical analysis with proficiency in python, SQL, SAS and cloud environments like databricks for end to end solution management
Overview
11
11
years of professional experience
7
7
Certifications
Work History
Senior Data Scientist
Epsilon
02.2025 - Current
- Built and maintained the personalization marketing engine for a U.S.-based bank client for retail and SMB LOB.
- Curating prompts and campaigns using business rules and predictive ML models to generate higher conversions and revenue for various products (~ 10-15%)
- Used clustering and RFM-based models to segment customers for marketing reach-outs based on TSP and client store transaction data for efficient targeting and conversion.
- Built Predictive models (ML and similarity based approaches) to predict prospects with high probability of conversion for acquisition and cross seel services for US based Financial cooperative
Quantitative Analytics Associate
Wells Fargo
05.2023 - 01.2025
- Advanced Predictive Modeling: Developed and deployed machine learning models to predict customer propensity, customer churn, and equipment finance defaults.
- Data Analysis: Generate general ledger reports, loan syndication dashboards, and ad-hoc reports from Loan IQ data for commercial banking loan products.
- Hypothesis Testing: Conducted exploratory analysis using hypothesis testing techniques (t-tests, chi-square) to evaluate segment-level differences in loan performance, and inform credit policy recommendations for commercial lending portfolios.
- Data Quality Management: A data quality review tool that is helping multiple teams in verifying SOR data with the source, with a human-in-the-loop flag. Reduced the time taken per deal from 4 hours to approximately 15 minutes, resulting in an overall saving of almost 350 FTE hours in just the pilot launch.
- Prospect Prioritization: Achieved a pipeline revenue of $2 million (~74 deals) for the equipment finance line of business by prioritizing leads available using machine learning predictive models.
Analyst
Accenture Solutions Pvt. Ltd.
01.2018 - 06.2022
- Project Management: Partnered with cross-functional teams to comprehend project requirements, manage change requests, and oversee user acceptance testing (UAT).
- Report Preparation and Visualization: As part of Accenture Learning (Capability development), I built and managed dashboards for viewing ops data, such as interaction KPIs, revenue per agent interaction, training sessions conducted, future training requirements, and performance banding for ops agents, and other workforce management data for one of the largest telecom providers in the UK.
- Stakeholders Presentation: Presented findings to stakeholders in a clear and concise manner, fostering data-driven decision-making across the organization.
- Conducted training sessions and interviews on an ad-hoc basis for operations.
Area Business Manager
Alchemy Web
02.2017 - 06.2017
- B2B SaaS Acquisition: Headed the acquisition for Bangalore of six members, conducted MIS reporting, data analysis, and presented insights to CXO stakeholders.
Manager
Fab Hotels
08.2016 - 02.2017
- Business Expansion & Management: Team Management & Cross-functional Delivery in new cities, responsible for overall P&L for the city, leveraged data analysis techniques to forecast market demand and identify target customer segments.
Senior Territory Sales Manager
Practo Technologies
09.2014 - 08.2016
- B2B SaaS Acquisition: Guided teams in product merchandising, inventory management, and led initiatives in SaaS B2B customer acquisition.
Education
PGP - Data Science
Praxis Business School
Kolkata, WBBachelor of Technology - Chemical Engineering
SRM University
01.2014
Skills
Programming languages: Python, R, SQL, SAS
Tools and Libraries: Pandas, Numpy, Scikit, Matplotlib, Pyspark, PyTorch, Azure, Streamlit, Teradata, Oracle SQL, Teradata, Alteryx, Databricks
ML Algorithms and Techniques: Regression analysis, Decision trees, Random Forest, Boosting (Gradient, Xg), Bagging, Deep learning, SVM, Logistic regression , Generative AI
Statistical Analysis
Hypothesis Testing
Data quality assurance
Machine Learning
Data Mining
Deep Learning
Certification
Data Scientist With Python - Data Camp
Accomplishments
- Director's Merit List (Gold Medalist) in the PGP at Praxis Business School
- Published Author on Research Gate and Cornell University Archives - “A Comparative Study of Portfolio Optimization Using Reinforcement Learning With Hierarchical Risk Parity and Eigen Value Portfolio”
Timeline
Senior Data Scientist
Epsilon
02.2025 - Current
Quantitative Analytics Associate
Wells Fargo
05.2023 - 01.2025
Analyst
Accenture Solutions Pvt. Ltd.
01.2018 - 06.2022
Area Business Manager
Alchemy Web
02.2017 - 06.2017
Manager
Fab Hotels
08.2016 - 02.2017
Senior Territory Sales Manager
Practo Technologies
09.2014 - 08.2016
Bachelor of Technology - Chemical Engineering
SRM University
PGP - Data Science
Praxis Business School