Saksham Grover

Co-Founder

San Francisco, California, United States12 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 8+ years of experience in Data Science and AI.
  • Led ML-driven solutions with multi-million dollar impact.
  • Expert in bridging product strategy with technical execution.
Stackforce AI infers this person is a Data Science and AI expert with strong capabilities in AdTech and Fintech.

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Skills

Core Skills

Machine LearningData AnalysisProduct ManagementTeam ManagementData ScienceWeb Development

Other Skills

Algorithm DevelopmentAmazon Web Services (AWS)AndroidAngularJSBootstrapBusiness AnalyticsBusiness DevelopmentBusiness StrategyC++CPLEXCloud ServicesClustering AlgorithmsCompetitive AnalysisData InfrastructureDigital Marketing

About

Highly accomplished Senior Data Science & AI Expert with 8+ years of experience leading and deploying Machine Learning solutions to drive multi-million dollar business impact. Specializing in AdTech/Monetization, Data science applications, and Deep Learning, with expertise in Python, SQL, GCP/AWS, and MLOps practices. My unique strength lies in bridging Product Strategy with deep technical execution to turn ambiguous business challenges into scalable, production-ready AI systems.

Experience

Google

Product Analyst Lead, Youtube Ads

Jul 2019Present · 6 yrs 8 mos · Mountain View, California, United States

  • Led the ML-driven Ads analytics pipeline for YouTube Shorts and user Monetization.
  • Architected and deployed a Machine Learning model for User Lifetime Value (LTV) prediction, which informed budget allocation and optimized marketing investments by 20%.
  • Collaborated with Engineering/ML teams to define and integrate high-value AI signals into the core Ad platform to improve CTR/ROI.
Google Cloud Platform (GCP)Machine LearningData AnalysisPythonSQL

Nordstrom

Data Scientist

Jan 2018Jan 2019 · 1 yr · Greater Seattle Area

  • Developed and validated an Advanced Regression / XGBoost model to predict vendor profitability drivers, providing Finance teams with a 15% lift in forecasting accuracy.
  • Engineered and implemented unsupervised ML clustering algorithms (e.g., K-Means/DBSCAN on high-dimensional feature vectors) to conceptualize and target 5 distinct buyer personas, improving marketing campaign relevance by 35%.
  • Utilized Python/SQL for data pipeline orchestration, ensuring data quality and enabling timely model retraining and deployment.
PythonSQLMachine LearningXGBoostClustering AlgorithmsData Analysis

University of southern california - marshall school of business

Course Design Assistant - Data Science for Consulting in Python

Aug 2017Dec 2017 · 4 mos · Greater Los Angeles Area

  • ● Assisted Professor Robertas Gabrys for the course "Data Science for Consulting in Python"
  • ● Developed and aggregated machine learning case studies in Regression, Classification, Market Basket Analysis, Churn prediction, NLP and more using Python
PythonMachine LearningData Science

Driverskart

CoFounder and Chief Technology Officer

Jan 2015Jan 2018 · 3 yrs · Chennai

  • Driverskart was acquired by DriveU (https://www.driveu.in/)
  • Driverskart provided on-demand chauffeur hiring service to customers in India. We had Android + iOS mobile apps, web panel and chatbots for customers to book the services. Driverskart had got angel round funding of 500k USD in April 2016 and it got acquired by DriveU in May 2017.
  • ● Hired and led a development team of 10+ to create a web and mobile interface for an on-demand chauffeur application (15000+ app downloads with an average rating of 4/5).
  • ● Product Management - Manage the lifecycle of code development, from ideation to sprints to deployment of mobile and web application. Driverskart has serviced more than 80 thousand trips for customers and businesses with over 1 thousand driver partners spanning 5 cities.
  • ● Oversaw the development of the initial dispatch/matching algorithm (a core component of the app) leveraging data to optimize driver assignments and reduce customer wait times.
  • ● Established the entire data infrastructure (AWS Cloud Search, etc.) to power BI reports and collect data essential for future AI/ML product roadmap.
  • ● Identifying startups and technologies which can be integrated and leveraged for mutual benefits. Eg.Happay Cards (payment settlements), ZenDrive ( tracking driving behavior), PayTM (Payment Gateway), Instamojo (ad-hoc payment collection) etc.
  • ● Led several collaborations with companies like ZoomCar Home Drop and Chauffeur services, Cars24, PitStop, and Myles to enhance efficiency and increase revenue streams by 150% monthly. Analyzed vendor requirements, reviewed SOW, negotiated contracts and managed deliverables.
  • ● Connecting and pitching with various angel funds and VC groups to encourage fundraising.
Product ManagementTeam ManagementData InfrastructureMobile DevelopmentCloud Services

Cognizant technology solutions

Associate - Senior Application Developer at Cognizant Mobility

Jan 2013Jan 2015 · 2 yrs · Chennai Area, India

  • ● Worked on the design and development of Hybrid applications using IBM Worklight. Developed myBank banking application from scratch which was shipped for international markets in South Africa and NewZealand.
  • ● Led and nurtured two project associates and completed deliverables within the deadline.
  • ● Web application development using AngularJS and Bootstrap - Was appreciated for developing a prototype for Swap (customized offers and coupon-handling application) in stringent deadlines.
Hybrid ApplicationsWeb DevelopmentAngularJSBootstrap

Education

USC Marshall School of Business

Business Analytics — Analytics

Indian Institute of Technology, Mandi

Bachelor of Technology (BTech) — Engineering

Little World School

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