About
I am Data-powered strategist with experience in analytics, management consulting, product and program management, I thrive in the dynamic space where leadership meets execution, seamlessly bridging the gap between strategy and results.
With close to ~10 years of experience at Google, McKinsey, and Infosys, I've honed my skills in leading and collaborating with diverse teams, navigating complex stakeholder landscapes, and driving impactful outcomes through data-driven insights and collaborative approaches. Whether it's crafting GTM strategies for product/ sales activation, flawlessly executing programs, or building trust with senior stakeholders across functions, I bring a unique blend of strategic thinking, analytical rigor, and relationship-building expertise to the table. My passion lies in unlocking potential – both within teams and across organizations – through effective communication, shared vision, and a commitment to continuous improvement.
Skillset summary: Data-driven decision-making, Business process design and execution, Data analytics, ML/ AI, Product/ program management, C-level alignment & influence, senior/ cross functional stakeholder management, Data storytelling, agile problem solver.
Skills & Expertise
SQL
Data Analytics
Python Programming
Analytical Skills
Market Strategy
Operations
Management Consulting
Business Modeling
Executive Management
Research Interests
Leadership
Strategic Vision
Business Planning
Product Marketing
Executive Management
Multi-level Communication
Connect With Me
Experience
Strategy and Operations Manager
Advisory Committee Member, Strategic AI Program
Non faculty advisor for the CERTIFi by Mercy University Strategic AI Program. Designed by industry experts for professionals to use AI frameworks and best practices developed by top companies.
Advisory Council Member
Junior Engagement Manager
~4 yrs of experience serving various Fortune 100 companies on large-scale digital and data transformations, cross functional project management, enterprise strategy, risk management, statistical modeling, capability building and senior executive communications including serving various clients with focus on both analytical and non analytical components (e.g., developed PPNR models, stress testing, VAR segmentation (Collections modeling), assessed data risk management capabilities, setting up remediation teams, delinquency rates projections for major O&G company, assessed resilient companies)
Senior Risk Consultant
Data Scientist
Data Analyst Intern
Current Expected Credit Loss (CECL) study: Risk Analytics | Credit Risk Modeling
▪ Minimized the risk associated with the default loans by identifying key factors leading to delinquency and predicted the credit loss using the member data of 120 credit unions.
▪ Improved reusability, and frequent delivery of the results by implementing agile development practices.
Consumer Lending study: Customer Segmentation
▪ Refined the strategy for customer acquisition and retention by segmenting customers based on demographics, transactions, and other behavioral attributes.
Financial Advisor Network (FAN) project:
▪ Recommended optimal interaction mechanism by predicting the advisor priority based on their propensity to sell annuity products, increasing the sales by 12%.
Debt Protection Advocacy:
▪ Identified best channels to engage with the customer to increase sales and to maximize their lifetime value by predicting the level of penetration of debt protection products across various customer segments.
Test Engineer(Data Quality Analyst)
Data Quality Analyst| Banking | Reporting and Visualization | SDLC
▪ Enabled strategic decision making for senior analysts’ by devising SQL and Informatica adhoc queries and reports.
▪ Decreased the run time of SQL queries for analyzing 2 million records by 20% using stored procedures.
▪ Implemented data quality checks through ETL testing of source/target databases for validating the migration framework.
▪ Conducted ETL, Tableau and SQL, knowledge transfer sessions for the global team of 7 members.
▪ Reduced 35% of manual efforts in test preparation phase by scripting VBA macro application.
▪ Devised KPI’s for the ETL framework to communicate the results with the client.
System Engineer
Roles and Responsibilities
• Analyzed the customer behavioral patterns through regular and adhoc reports for financial partners and automated reports using SQL
• Gathered key clients’ requirements of the project and conducted appropriate analysis to provide support to project manager by developing business case, estimating scope, scheduling milestones/tasks for resources
• Automated several time-consuming business reports using VBA resulting in reduced manual work
Intern
• Extensive hands-on training on technologies like Java, C++, SQL, JSF, JSP, HTML, PERL, POJO, JPA
• Infosys Internship Project - Speech bot
Designed an interactive computer program to simulate an intelligent conversation with one or more human users via auditory or textual methods. Used variety of tools like RebeccaAIML for server side scripting dialect and speech synthesizers for natural language software agent, Eclipse Indigo for the interface
Education
UConn School of Business
I.K.Gujral Punjab Technical University (IKGPTU)
Projects
Predictive Modeling Project- Lending Loan Club
Extensive Data cleansing process was performed to prepare the data for modeling. Data Preprocessing techniques like handling missing values, Principal Component Analysis, Outliers Analysis, Transformations and Multivariate Analysis was performed using SAS JMP.
Red Hat Business Value
Built a classification model which helped to predict the customer potential based on their online activities and the characteristics of the people. Extensive use of machine learning algorithms like ensemble models, Decision tree, Logistic Regression etc. were implemented to help Red Hat’s marketing products target towards these valuable customers.
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