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 Council Member
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.
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
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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