Srikrishnan Veeraraghavan Email & Phone Number

San Francisco, California, United States

New York City Metropolitan Area

• Tuned hyperparameters of a Prophet time series model to forecast future valuations of client NFTs.
• Built a monitoring dashboard using AngularJS, D3.js and Plotly.js to report model performance and relevant insights.
• Performed exploratory data analysis for creating Environmental and Social scoring frameworks for an ESG Model.

Bengaluru, Karnataka, India

• End-to-end development and deployment of Credit Risk Scorecard Models using advanced statistical and machine learning techniques.Behavioral Risk Scorecard for Business Loan Customers:
• Created a logistic regression model for predicting Business Loan customers likely to default on their loans based on internal transaction and repayment behavior.
• Customers assigned scores and rank ordered for qualifying them for top-up loans as well as creating a priority order for debt collection.
• Model achieved a Gini of 69.1%, K-S of 52.6% and was validated on various time periods to prevent overfittingStandardized Code Utility for Hyperparameter Tuning:
• Created a code utility for selecting optimum hyperparameters of Spark ML models by automating model development and plotting a bias-variance curve across iterations.Tools Used: Python, PySpark, SQL, Spark ML.

Bengaluru Area, India

• Responsible for developing data-driven business strategies and delivering key insights to business stakeholders.Digital Payments Budgeting Model:
• Created a forecasting model to project revenue and cost drivers for the digital payments business month on month for the 2020-21 financial year accounting for growth of the digital payments ecosystem, seasonality and.
• Introduced analytical rigor into an activity based on intuition and approximation and enhanced profitability targets by 48%.Digital Payments Merchant Genome:
• Performed a clustering analysis to profile 626k merchants using geographic, demographic and transaction data.
• Generated customized recommendations for cross-selling products and boosting business performance metrics like activity and profitability for each profile.Credit Card Interest Income Provisioning Model:
• Created a decision tree model to predict reversal of interest levied on delinquent accounts, streamlining the manual calculation process after each future reversal.

Tiruchchirappalli Area, India

Festember is the International Inter-Collegiate Cultural Festival of NIT Trichy. As the Head Of Events, I led a team of 50 students to conceptualize and execute more than 70 events including various online and offline promotional events. My responsibilities included coordinating with various teams of Festember to ensure smooth functioning of events and.

Mumbai Area, India

• Worked on the project ’Pre-Approved Base for Small Ticket Size Consumer Loans’ in the Business Intelligence Unit.
• Determined the parameters for qualifying 6mn digitally active customers for an instant pre-approved loan by analyzing their risk behaviors in other credit products within and outside the bank.
• Proposed a novel risk-based pricing scheme for the product in order to achieve a competitive edge over similar products in the market.
• Learnt various concepts in Data Science, Business Analytics and Financial Management.Tools Used: SAS, SQL and MS Excel.

Tiruchchirappalli Area, India

Spider R&D Club is the Official Research and Development Club of NIT Trichy. As a web developer, I collaborated with like-minded peers to work on various web development and inter-disciplinary projects.

Bengaluru Area, India

• Prototyped an automated testing environment for a Client/Server system consisting ofVirtual Machines using Vagrant, a tool for building virtual development environments.
• Prototyped a secure communication mechanism between Virtual Machines usingIPSec/IKE as an alternative to SSL.
• Built a Virtual Machine Host Management API ground up using Python and Libvirt toolstack.
• Learnt various concepts in Network Programming, KVM Virtualization and NetworkSecurity.Tools Used: Python, Libvirt, Shell Scripting, OpenSSL, Vagrant.

Master Of Science - Ms, Computer Science, 3.96

Concentration in Massive Data Analytics Coursework: • Advanced Applied Statistics • Mathematical Foundations for Data Science • Artificial.

Bachelor Of Technology, Electrical And Electronics Engineering

Coursework Highlights: • Data Structures and Algorithms • Pattern Recognition • Artificial Neural Networks • Computer Networks • Linear.

High School, Mathematics And Computer Science