Summary
Overview
Work History
Education
Skills
Timeline
Generic
SIDDHARTH B

SIDDHARTH B

Bengaluru

Summary

A results-driven analytics professional with over 10 years of experience in data analysis, business intelligence, and advanced analytics solutions. Adept at solving complex business challenges, I leverage a solid foundation in data science, predictive modeling, and machine learning to deliver actionable insights that drive strategic decisions and fuel business growth. Proficient in Python, SQL, Tableau, and machine learning libraries like scikit-learn, I specialize in designing and implementing scalable analytics solutions that transform data into valuable business intelligence. Passionate about optimizing business processes, I excel in developing data-driven strategies that enhance performance, increase efficiency, and support informed decision-making, with a strong commitment to applying my expertise across industries and tackling new challenges.

Overview

11
11
years of professional experience

Work History

Manager - Analytics

Razorpay Technologies Pvt. Ltd.
04.2024 - Current
  • Led Business & Product Analytics for Instant Settlement (IS) and Payouts products, driving data-driven decision-making and strategic insights.
  • Single Point of Contact (POC) for all analytical and data requirements related to Instant Settlement, ensuring seamless collaboration across teams.
  • Spearheading analytical initiatives for the Payouts product in RZPX, aligning multiple stakeholders across Product, Business, Risk, and Operations to drive actionable insights.
  • IS Churn - Early Indicators Analysis: Led an end-to-end deep-dive analysis, defining churn metrics, identifying key influencing factors, and segmenting impacted merchants. This insight-driven approach enabled targeted marketing strategies, resulting in a ~20% relative reduction in churn within 3 months.
  • Merchant Happiness Index (MHI): Developed the MHI framework for IS to monitor key merchant experience drivers, leading to product performance enhancements. This initiative contributed to a ~5% improvement in MHI over 6 months.
  • Conceptualized, designed, and implemented 10+ interactive Tableau dashboards for both IS and Payouts, capturing critical product and business metrics, enabling data-driven decision-making for multiple stakeholders.
  • Developed robust monitoring frameworks for continuous tracking of key product metrics in IS & Payouts, enabling real-time insights and significantly reducing reliance on ad-hoc data requests by promoting a self-serve analytics culture.
  • Built a risk policy framework for merchant acquisition and dynamic line assignment in IS, ensuring optimal utilization of IS limits while balancing risk and business growth.
  • Currently working on GenAI-driven POCs to automate insight generation, enhancing decision-making efficiency for stakeholders across product and business teams.

Manager - Credit Risk Analytics & Strategy

Razorpay Financial Services
07.2023 - 03.2024
  • Developed and implemented credit risk strategies for SMEs, ensuring portfolio health, risk mitigation, and regulatory compliance.
  • Designed and optimized credit risk models and underwriting strategies to improve initial credit line assignments, enhancing portfolio performance and risk-adjusted returns.
  • Built and deployed a predictive PG Churn Model using Machine Learning (ML) to identify high-risk merchants likely to churn within the next 3 months. Insights from this model were integrated into account management strategies, proactively improving portfolio quality.
  • Designed and automated data-driven strategies for Credit Line Increases (CLI) and Decreases (CLD) to optimize credit utilization. The automation of these processes enabled monthly dynamic credit adjustments.
  • Owned portfolio performance monitoring and regulatory loss reporting for the Line of Credit (LOC) portfolio, ensuring accuracy, compliance, and proactive risk management.
  • Empowered stakeholders with self-serve analytics capabilities, significantly reducing ad-hoc data and reporting requests, leading to improved operational efficiency.

Senior Data Scientist - Credit Risk Strategy

Rupifi
10.2022 - 04.2023
  • Designed and developed the first underwriting model and strategy for the Buy Now, Pay Later (BNPL) portfolio, leading to significant risk reduction and improved credit decisioning.
  • Led proof-of-concepts (POCs) to integrate alternate data sources, enhancing risk assessment, credit underwriting, and overall operational efficiency across the organization.
  • Mentored and guided junior analysts and interns, providing structured training, analytical oversight, and strategic direction for their risk analytics projects, fostering skill development and successful project execution.

Senior Data Scientist – Credit Risk Strategy

Scienaptic Systems
05.2020 - 10.2022
  • Led and mentored a team of 5 Junior Data Scientists and Analysts, fostering skill development, driving analytical excellence, and ensuring timely project delivery.
  • Managed USA-based clients, leading the end-to-end development and implementation of credit risk models and strategies, aligning with business objectives and regulatory requirements.
  • Developed a unified underwriting strategy, optimizing the credit journey to streamline approvals, enhance risk assessment, and drive sustainable acquisition growth.
  • Spearheaded an automation and forecasting initiative for a leading bank, improving predictive accuracy and operational efficiency, enabling data-driven risk management.
  • Conducted advanced analytics to identify key performance drivers, integrating insights into forecasting models to support financial planning, risk mitigation, and strategic decision-making.

Decision scientist - Risk

Kabbage India Pvt. Ltd.
06.2019 - 04.2020
  • Developed a Risk Tier Migration dashboard with custom KPIs, enabling real-time portfolio health monitoring and proactive strategic interventions to mitigate risk.
  • Led the SBFE - Line Assignment initiative, optimizing credit lines for customers without active revenue channels by leveraging SBFE bureau data. Conducted extensive simulations to determine optimal Net Credit Margin scenarios, improving portfolio profitability.
  • Managed the credit portfolio for the Airbnb partnership, overseeing underwriting, credit line and pricing strategies, and dashboard development to enhance operational efficiency and profitability.
  • Designed a high-accuracy qualification model using customer business data, significantly improving eligibility assessment, credit line assignment, and pricing strategies, driving increased lending platform volume and optimizing risk-adjusted returns.

AM - Credit Risk Analytics & Strategy

HSBC EDPI
10.2016 - 05.2019

Business Banking, USA: Overdraft, USA:

  • Conducted cluster analysis on legacy applications, establishing a risk-reward framework to monitor credit application health and improve decision-making.
  • Optimized line assignment and pricing strategies for end-to-end account originations, enhancing portfolio profitability.
  • Increased automatic processing rates of credit card applications by 5% by eliminating irrelevant decision criteria, streamlining approvals.
  • Reduced manually underwritten applications by 5% in compliance with HSBC regulatory standards by evaluating and refining exceptionally approved cases.
  • Analyzed unstructured text data from underwriter comments to identify key decision trends, driving automation initiatives and process improvements.
  • Led the seamless migration of data to a new system, collaborating with cross-functional teams to ensure a smooth transition with minimal disruption.
  • Automated and streamlined the overdraft reporting process using SAS, Excel, and VBA, achieving efficiency gains equivalent to 1 full-time employee (FTE).
  • Proposed and implemented decision-making strategy enhancements, improving straight-through processing rates by ~8%, reducing manual interventions.
  • Managed ad hoc business analyses, delivering critical insights daily to support risk assessment and portfolio strategy.
  • Enabled cross-functional teams with accessible and actionable data formats, fulfilling 90%+ of data requests, averaging 10+ requests per week.

Analyst - Investment research

Tracxn Technologies
07.2015 - 10.2016
  • Assisted VC clients in sourcing high-potential startups across HR-Tech and Ad-Tech sectors, facilitating strategic investment opportunities.
  • Conducted in-depth market analyses and due diligence, identifying promising investment and acquisition targets based on industry trends and financial viability.
  • Authored and published sector-specific market reports for the Indian startup ecosystem, providing data-driven insights for online publications and industry stakeholders.
  • Designed and developed an Analyst Productivity Dashboard, enhancing performance tracking and decision-making, leading to a 2x improvement in analyst efficiency.
  • Automated marketing report generation using Excel, VBA, and Google Spreadsheets, significantly reducing manual effort and improving turnaround time.

Business Analyst - Retail & Pricing

Enlightiks Business Solutions
08.2014 - 07.2015
  • Developed price sensitivity models using Linear Regression, analyzing key sales drivers such as pricing elasticity and external factors, optimizing pricing strategies.
  • Built an ARIMA-based time series model for accurate sales forecasting, improving demand planning and inventory management.
  • Applied association rule mining on transaction data, identifying frequently purchased item combinations, enabling effective bundling strategies to drive sales.
  • Designed and deployed interactive dashboards and reports, providing real-time tracking of business growth and key performance metrics, enhancing data-driven decision-making.

Education

Indian Institute of Technology, Kharagpur
05.2014

Skills

  • Credit Risk Management: Underwriting, Risk Tiering, Portfolio Monitoring, Delinquency Management, Risk-Based Pricing
  • Credit Risk Modeling: Scorecard Development, Probability of Default (PD) Models, Loss Given Default (LGD) Models, Churn Prediction, Fraud Detection
  • Project Management & Delivery: Cross-Functional Collaboration, Agile & Scrum Methodologies, Stakeholder Alignment
  • Programming & Scripting: Python, SQL, R, Unix Shell Scripting, VBA, SAS
  • Data Science & ML Libraries: Pandas, NumPy, Scikit-Learn, TensorFlow, H2Oai
  • Big Data & Cloud Technologies: Hive, Spark, AWS, Google Cloud Platform (GCP), Databricks
  • BI & Visualization Tools: Tableau, Looker, Power BI
  • Statistical & Machine Learning Models: Logistic & Linear Regression, Decision Trees, Gradient Boosting (GBM, XGBoost, LightGBM), Random Forest, Neural Networks, Time Series Forecasting

Timeline

Manager - Analytics

Razorpay Technologies Pvt. Ltd.
04.2024 - Current

Manager - Credit Risk Analytics & Strategy

Razorpay Financial Services
07.2023 - 03.2024

Senior Data Scientist - Credit Risk Strategy

Rupifi
10.2022 - 04.2023

Senior Data Scientist – Credit Risk Strategy

Scienaptic Systems
05.2020 - 10.2022

Decision scientist - Risk

Kabbage India Pvt. Ltd.
06.2019 - 04.2020

AM - Credit Risk Analytics & Strategy

HSBC EDPI
10.2016 - 05.2019

Analyst - Investment research

Tracxn Technologies
07.2015 - 10.2016

Business Analyst - Retail & Pricing

Enlightiks Business Solutions
08.2014 - 07.2015

Indian Institute of Technology, Kharagpur
SIDDHARTH B