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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.

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Skills

Experience

Strategy and Operations Manager

Google

Feb-2022 to Present
Advisory Council Member

Harvard Business Review (HBR)

Dec-2023 to May-2024
Advisory Committee Member, Strategic AI Program

CERTIFi by Mercy University

Jan-2024 to May-2024
Data Scientist

CUNA Mutual Group

Feb-2018 to May-2018
Intern

Infosys

Feb-2013 to May-2013
Test Engineer(Data Quality Analyst)

Infosys

Sep-2014 to Jun-2016
Junior Engagement Manager

McKinsey & Company

Sep-2020 to Jan-2022
Data Analyst Intern

CUNA Mutual Group

Jun-2017 to Dec-2017
Senior Risk Consultant

McKinsey & Company

May-2018 to Aug-2020
System Engineer

Infosys

Oct-2013 to Aug-2014

Education

UConn School of Business

MSc in Business Analytics and Project Management

Passout Year: 2017
I.K.Gujral Punjab Technical University (IKGPTU)

B.Tech in Computer Software Engineering

Passout Year: 2013

Projects

Oct-2016 to Present

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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Sep-2016 to Present

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.
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Scholar9 Profile ID

S9-052024-2801358

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