Keshav Tyagi

Keshav Tyagi Email and Phone Number

Product at Amazon | Business Analytics @ Amazon
Keshav Tyagi's Location
San Francisco Bay Area, United States, United States
Keshav Tyagi's Contact Details

Keshav Tyagi personal email

n/a
About Keshav Tyagi

SQL expert with 8+ years of progressive experience in the field of Descriptive/Predictive Analytics, primarily in Customer Analytics, Site Analytics, Business Intelligence, Reporting and DataWarehouse Modeling.Skills and Certifications• Analytical Packages: SSIS, SSAS, SSMS, SSRS, MS Excel, MSBI suites, Power-BI, Tableau, Arena• Software and Programming: SQL, R, Python, C#, Scope, MDX, Apache Spark SQL, Hive, Hadoop• Statistical skillset: GLM (Logistic), GAM, Dimensionality Reduction, LDA, PCA, SVM, Cross Validation, CART, Bagging, Random Forest, Boosting, Neural network, Clustering. • MCSE Microsoft Exam 70-461 and MCSE Microsoft Exam 70-463 (Querying SQL and Data Warehousing)

Keshav Tyagi's Current Company Details
Amazon

Amazon

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Product at Amazon | Business Analytics
Keshav Tyagi Work Experience Details
  • Amazon
    Manager, Business Intelligence Iii
    Amazon Jun 2022 - Present
    Seattle, Wa, Us
  • Amazon
    Sr Business Intelligence Engineer
    Amazon Dec 2021 - May 2022
    Seattle, Wa, Us
  • Amazon
    Business Intelligence Engineer Ii
    Amazon Jul 2019 - Nov 2021
    Seattle, Wa, Us
  • Tredence Inc.
    Senior Analyst For Walmart
    Tredence Inc. Sep 2018 - Jun 2019
    San Jose, California, Us
    • Interacted with stake holders to create an Analytical framework using Hive, Google BQ and bash scripts for automating data refresh for various customer related analysis.• Applied various analytical techniques like Test-Control Analysis, Customer Profiling and Time Series Clustering to assist business in devising marketing strategies for the customers.• Assisted Merchandising team by creating customer purchase footprint for better customer targeting.• Worked on Customer Value Index for e-commerce competitor analysis measuring factors impacting GMV.• Engaged with Marketing Clients to form various business hypothesis around omni-channel customer behavior and thereby conclude actionable business insights. • Worked on driving customer acquisition campaigns using Customer Propensity models.
  • Castellini Company
    Business Analytics Coop
    Castellini Company May 2018 - Aug 2018
    Wilder, Ky, Us
    • Interacted with Inventory, Operations and Finance Departments to model requirements into deliverables. • Created data pipelines for automated data refresh from Aurora ERP to SQL Warehouse• Created an Executive Level dashboard to report KPI’s for driving informed fact-based decision making following statistical quality control techniques.
  • City Of Cincinnati
    Student Consultant
    City Of Cincinnati Jan 2018 - Apr 2018
    * Descriptive Analytics on identifying patterns in resident’s recycling behavior and the impact of government's initiatives on the recycling habits of residents.* Predictive Modeling on classifying RFID malfunctioning.* Regression Analysis on identifying seasonality in neighbourhood participation rate based on demographic factors.
  • Maq Software
    Senior Business Intelligence Engineer
    Maq Software Jun 2014 - Jun 2017
    Redmond, Washington, Us
    Financial Reporting for Microsoft:• Created Power BI Dashboards and Power pivots to report Sales KPI’s across Product Categories, Line of Businesses, geographies and other drilldowns for Online and Brick & Mortar Stores.• Centralized data pull by creating data pipelines using ETLs (Extract Transform Load) for more than 26 upstream sources including FTPs, Adobe Analytics Omniture APIs, Tabular Models and Databases.• Created OLAP Multidimensional Cube (SSAS) to assist Business and Finance clients in Sales Trend Analysis through Metrics as WoW, MoM, YoY etc.• Created a Test Case Auditor (SQL queries, Powershell) to identify issues and eliminate significant manual effort in post-production deployment testing.Site Analytics for Microsoft: • Used Omniture Site Analytics to measure conversion rate at various touch points during site navigation• Tracked Customer journey to Microsoft Store website by designing queries leveraging Cloud computing for Sales Funnel Analysis.• Performed A/B Testing to measure efficacy of multiple website modifications as well email campaigns.

Keshav Tyagi Skills

Data Warehousing Data Analysis Business Intelligence Microsoft Sql Server Data Mining Sql Server Integration Services Data Visualization Microsoft Bi Suite Microsoft Excel Transact Sql R Sql C Agile Methodologies Python Machine Learning Html C++ Javascript Core Java Eclipse C# Statistics Statistical Modeling Java Cascading Style Sheets Leadership Powerbi Data Analyst Agile Modeling Hadoop Data Modeling Data Science Tableau Big Data Microsoft Office Hive Scala Sas Business Strategy Visual Studio Software Development Life Cycle Analytics Testing Supervised Learning Unsupervised Learning Test Automation Data Engineering

Keshav Tyagi Education Details

  • University Of Cincinnati Carl H. Lindner College Of Business
    University Of Cincinnati Carl H. Lindner College Of Business
    Master In Business Analytics
  • Ajay Kumar Garg Engineering College, Ghaziabad
    Ajay Kumar Garg Engineering College, Ghaziabad
    Computer Science
  • Motivational Pathway
    Motivational Pathway
    Computer Science

Frequently Asked Questions about Keshav Tyagi

What company does Keshav Tyagi work for?

Keshav Tyagi works for Amazon

What is Keshav Tyagi's role at the current company?

Keshav Tyagi's current role is Product at Amazon | Business Analytics.

What is Keshav Tyagi's email address?

Keshav Tyagi's email address is ke****@****nce.com

What schools did Keshav Tyagi attend?

Keshav Tyagi attended University Of Cincinnati Carl H. Lindner College Of Business, Ajay Kumar Garg Engineering College, Ghaziabad, Motivational Pathway.

What skills is Keshav Tyagi known for?

Keshav Tyagi has skills like Data Warehousing, Data Analysis, Business Intelligence, Microsoft Sql Server, Data Mining, Sql Server Integration Services, Data Visualization, Microsoft Bi Suite, Microsoft Excel, Transact Sql, R, Sql.

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