Aayush Agrawal
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Aayush Agrawal

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I’m an experienced Data Scientist with specialized skills in machine learning-based solutions. I enjoy staying on top of cutting-edge data technologies, including big data platforms, deep learning, optimization methods, and business analytics. My current work involves building data-driven products to enable smarter recommendations for Microsoft Partners, M365 service administrators and end-users to ensure the best usage of M365 services. Before that, I have experience working in various verticals like agricultural technology, pharmaceuticals, retail, e-commerce, and ride-sharing business model.

  • Experience
  • Education
  • Certifications

Microsoft, Redmond, WA, USA
Senior ML Scientist

June 2019 - Present

  • Worked with cross-functional teams to build data product (Project Orland) for customer life cycle management for M365 Partners leading to an additive impact of around $5-7 MM in retention and 3-5 MM of upsell opportunities in FY22 and potential for $30 MM incremental revenue in FY23
  • Building and deploying ML learning models for increasing engagement and driving upsell for M365 products for email and in- product messaging for SMB segment leading to an increase of 5% lift in monthly active users in core workloads
  • Conducted an in-depth analysis of COVID free trials and recommended product improvements to reduce cannibalization with paid customers which led to $4-5MM/ month of COGS saving
  • Collaborated with Orca Conservancy(non-profit) to build bioacoustics call recognition and alerting system for Southern resident killer whales (Orcas). This hack project won multiple Microsoft AI4Good grants, which provided $45K in Azure credits

Land O’ Lakes Inc., Shoreview, MN, USA
Senior Data Scientist

June 2017 - June 2019

  • Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
  • Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
  • Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS

Taxiforsure.com, Jaipur, RJ, India
Senior Business Analyst

March 2015 - May 2016

  • Built a machine learning based targeting strategy for finding the best operators to target out of 1.6 million operators, leading to 7x increase on sales returns from the previously used method using Python, Hive, Power BI, and Apache NiFi
  • Running marketing mix models for animal feed categories to understand effectiveness of various marketing activities
  • Enhancing corn yields for farmers by improving seed recommendations using customized growing condition-based similarity metrics devised by combining open-source datasets for over 2.07 million farms using Python and ArcGIS

Snapdeal.com, New Delhi, India
Product Data Analyst

November 2014 - March 2015

  • Designed supply scheme with regional head to cut down per trip cost by 50% in 3 months from INR 130 to INR 60
  • Designed an active cab prediction system to balance demand and supply, reducing cab rejection from 5% to 1%
  • Developed fraud detection model and automated penalty imposing system saving $300,000 annually using Hive and Python

Mu Sigma Business Solutions Pvt. Ltd, Bengaluru, India
Trainee Decision Scientist

June 2013 - October 2014

  • Generated reports on mobile applications, analyzed user flow and interactions for better understanding of website traffic; delivered findings to Product Manager team to inform future enhancements to app using Adobe Omniture
  • Predicted conversion rates using R based on various business parameters for better inventory and technical planning

Carlson School of Management, University of Minnesota, Minneapolis, MN, USA
Master of Science in Business Analytics | GPA: 3.98/4

May, 2017

Malaviya National Institute of Technology, Jaipur, India
Bachelor of Technology in Electrical Engineering | GPA: 8.35/10

May, 2013

Technical

Natural Language Processing Specialization, Deeplearning.ai, Coursera
Certificate

October, 2022

Triplebyte Engineering Certificate
Certificate

August, 2022

Parallel Programming with Dask in Python, DataCamp
Certificate

March, 2022

Microsoft Global Hackathon 2021 Award Winner, Microsoft
Certificate

December, 2021

AI The LinkedIn Way, LinkedIn
Certificate

December, 2020

Learning C#, LinkedIn
Certificate

July, 2019

DEV262x: Logic and Computational Thinking, EDX
Certificate

March, 2019

DevOps for Data Scientists, LinkedIn
Certificate

October, 2018

Git Essential Training, LinkedIn
Certificate

October, 2018

Natural Language Processing, HSE, Coursera
Certificate

July, 2018

Introduction to Deep Learning, HSE, Coursera
Certificate

May, 2019

Developing Data Products, John Hopkins University, Coursera
Certificate

November, 2014

Reproducible Research, John Hopkins University, Coursera
Certificate

November, 2014

Regression Models, John Hopkins University, Coursera
Certificate

October, 2014

Machine Learning, Stanford University, Coursera
Certificate

September, 2014

Practical Machine Learning, John Hopkins University, Coursera
Certificate

September, 2014

R Programming, John Hopkins University, Coursera
Certificate

September, 2014

Non - Technical

Creativity at Work: A Short Course from Seth Godin, LinkedIn
Certificate

July, 2021

Learning to Be Assertive, LinkedIn
Certificate

June, 2021

Succeeding in a New Role By Managing Up, LinkedIn
Certificate

March, 2021

Improving Your Listening Skills, LinkedIn
Certificate

November, 2020

Giving and Receiving Feedback, LinkedIn
Certificate

May, 2020

Time Management Fundamentals, LinkedIn
Certificate

April, 2020

Coaching Skills for Leaders and Managers, LinkedIn
Certificate

June, 2019

Becoming a Male Ally at Work, LinkedIn
Certificate

June, 2019