Devansh Garg

Devansh Garg Email and Phone Number

Principal Product Manager - Analytics and Insights @ Amazon Web Services (AWS)
Seattle, WA, US
Devansh Garg's Location
Seattle, Washington, United States, United States
Devansh Garg's Contact Details

Devansh Garg personal email

n/a

Devansh Garg phone numbers

About Devansh Garg

Analytics professional with 10+ years experience in technology, retail and financial services. Currently building analytics products for Sales and Marketing teams at AWS. Previously, built analytics & data science solutions for the Property Management team at Target. Completed Master of Science in Business Analytics from University of Minnesota - Carlson School of Management in 2018. Prior to that, provided data-driven recommendations to improve the retirement readiness of participants across clients. Also, collaborated with a leading US-based specialty retailer to solve complex data science problems in the fields of marketing, supply chain and financial planning & analysis. KEY STRENGTHS• Ability to solve ambiguous problems and work with complex data sets leveraging relevant tools.• In-depth understanding of statistical and machine learning techniques and their implementation.• Collaborate with stakeholders and interact cross-functionally to conduct end-to-end analysis.• Translate and communicate insights as concrete and actionable recommendations for business.SKILLS • Statistics, Predictive Analytics, Exploratory Data Analytics and Visualization, Time Series Analysis and Forecasting, Big Data Analytics, Data-Driven Experimentation and Measurement• Tools: SQL, R, Python, SAS, Tableau, Domo, Hadoop, Hive, MS Office

Devansh Garg's Current Company Details
Amazon Web Services (AWS)

Amazon Web Services (Aws)

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Principal Product Manager - Analytics and Insights
Seattle, WA, US
Website:
aws.amazon.com
Employees:
142019
Devansh Garg Work Experience Details
  • Amazon Web Services (Aws)
    Principal Product Manager - Analytics And Insights
    Amazon Web Services (Aws)
    Seattle, Wa, Us
  • Amazon Web Services (Aws)
    Principal Product Manager - Analytics & Insights
    Amazon Web Services (Aws) Apr 2024 - Present
    Seattle, Wa, Us
  • Amazon Web Services (Aws)
    Sr. Product Manager - Analytics & Insights
    Amazon Web Services (Aws) Sep 2021 - Apr 2024
    Seattle, Wa, Us
  • Target
    Lead Program Manager - Analytics
    Target Sep 2020 - Sep 2021
    Minneapolis, Mn, Us
  • Target
    Sr. Program Owner - Analytics
    Target Jun 2018 - Sep 2020
    Minneapolis, Mn, Us
  • University Of Minnesota - Carlson School Of Management
    Data Science Consultant, Carlson Analytics Lab
    University Of Minnesota - Carlson School Of Management Jul 2017 - May 2018
    Minneapolis, Mn, Us
    Client: Leading Construction Equipment Manufacturer • Forecasted sales across 35 strategic business units using vector autoregression in R to drive marketing activities and optimize sales force deployment; reduced absolute errors by 51%. Incorporated secondary data sources leveraging granger causality tests to improve predictive accuracy. [Best Overall Project, Experiential Learning - Spring'18]Client: Nickelodeon Universe, Mall of America• Predicted daily ridership using linear regression with ARMA errors in R to reduce RMSE by 31% and staffing mismatch by 33%. Bundled rides leveraging association rule mining to increase ridership amongst customers. [Runner-Up, MSBA Live Case Competition - Fall'17]Client: PwC• Identified key underperforming customer segments for PwC’s auto insurance client using k-prototype clustering algorithm in Python. Profiled high-risk segments leveraging classification trees to realign premiums and reduce loss ratio. [Runner-Up, MSBA Live Case Competition - Summer'17]
  • Fidelity Investments
    Analyst
    Fidelity Investments Jun 2016 - May 2017
    Boston, Ma, Us
    Team: Tax-Exempt Client Analytics• Developed a retirement readiness model to project replacement rates of plan participants by consolidating savings across multiple recordkeepers. Internal stakeholders attributed $500K (5%) of new wins to the model and ad-hoc analyses. • Revamped and automated business planning reports in Tableau and SQL Server to increase their utilization by 40% over 6 months. Strategized plan design changes and marketing campaigns to improve retirement outcomes.
  • Mu Sigma Inc.
    Decision Scientist
    Mu Sigma Inc. Feb 2014 - Jun 2016
    Northbrook, Il, Us
    Client: Leading Home Improvement Retailer• Targeted high-propensity consumers, identified using logistic regression, with relevant installation services to achieve a cumulative revenue lift of 2.2 in first 4 deciles. Formulated an interactive Tableau dashboard for campaign measurement.• Developed an interactive Tableau dashboard to help marketing managers profile customers and strategize campaigns. Automated the process in SAS and Teradata to eliminate total turnaround time of 27 days per quarter.• Analyzed lead times in special order categories to enhance customer experience and renegotiate SLAs with contractors. Initiated marketing campaigns leading to weekly incremental sales of $1.5M in flooring category across 125 test stores.• Optimized shelf space allocation to reduce shelf out-of-stocks and improve sales productivity by analyzing planograms and forecasted sales; led to weekly incremental sales of $350K in tools category across 25 test stores.• Collaborated with a team of 8 to develop a sales impact model to segregate and quantify an event’s impact on test stores. Identified relevant control stores and computed incremental revenue; model evaluated 1,000+ events in FY 2015.• Mentored 6 Trainee Decision Scientists while leading Marketing Strategy & Analytics engagement
  • Grail Insights
    Analyst
    Grail Insights Aug 2013 - Jan 2014
    Oakland, California, Us
    Formerly Grail ResearchTeam: Financial Policy ResearchMonitored socio-political landscape and banking regulations in APAC nations for a UK-based investment bank.

Devansh Garg Skills

Sql R Python Data Analysis Business Analytics Predictive Analytics Statistics Tableau Data Visualization Big Data Machine Learning Exploratory Data Analysis Sas Data Science Retail Marketing Data Mining Hadoop Microsoft Office Amazon Web Services Apache Spark Apache Pig Hive

Devansh Garg Education Details

  • University Of Minnesota - Carlson School Of Management
    University Of Minnesota - Carlson School Of Management
    Business Analytics
  • Jaypee Institute Of Information Technology
    Jaypee Institute Of Information Technology
  • St. Xavier School - Delhi
    St. Xavier School - Delhi

Frequently Asked Questions about Devansh Garg

What company does Devansh Garg work for?

Devansh Garg works for Amazon Web Services (Aws)

What is Devansh Garg's role at the current company?

Devansh Garg's current role is Principal Product Manager - Analytics and Insights.

What is Devansh Garg's email address?

Devansh Garg's email address is de****@****get.com

What is Devansh Garg's direct phone number?

Devansh Garg's direct phone number is +165123*****

What schools did Devansh Garg attend?

Devansh Garg attended University Of Minnesota - Carlson School Of Management, Jaypee Institute Of Information Technology, St. Xavier School - Delhi.

What are some of Devansh Garg's interests?

Devansh Garg has interest in Health.

What skills is Devansh Garg known for?

Devansh Garg has skills like Sql, R, Python, Data Analysis, Business Analytics, Predictive Analytics, Statistics, Tableau, Data Visualization, Big Data, Machine Learning, Exploratory Data Analysis.

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