Hey, I’m Abhishek.
Passionate about Innovation, Growth, AI and Product Management
About Me
I graduated with Masters in Business Analytics and Project Management from University of Connecticut. During my time there, I led pro-bono consulting platform that connected Local NGOs with skills-ready analytics students as the Vice President of Net Impact. Further, as a Research Assistant, I predicted population from satellite-derived nighttime light imagery using neural networks.
After college, I worked as Business Intelligence Engineer for Cerebra. I influenced Workforce Recruitment and Retention Strategy of ABM Industries through ML-driven monthly attrition forecasting
I’m now Business Intelligence Engineer II at Amazon’s Buyer Risk Protection team. I led various fraud-prevention initiatives to protect Amazon customers from bad actors. I also helped expand payment options of Amazon Customers as analytics owner of emerging Payment Products.
My goal is to become a Product Manager and lead products that solve interesting challenges which, if solved, can have a huge impact on the world.
Outside of work, I love traveling and taking pictures. At the turn of this year, I began writing for my blog: Dumb History of Everything. Check out some of my articles here!
Work Experience
Amazon - Business Intelligence Engineer II
At Amazon, I led initiatives that safeguarded customers from fraud, optimized cross-functional collaboration, and delivered significant cost savings. I created innovative forecasting models that aligned team goals, deployed machine learning-based fraud prevention products, and uncovered substantial savings through data-driven insights.
By implementing advanced analytics tools and no-code solutions, I accelerated product launches and streamlined workflows. I also introduced AI-powered alerts to enhance stakeholder efficiency and played a critical role in maintaining regulatory compliance, ensuring operational integrity and strengthening customer trust.
Cerebra - Business Intelligence Engineer
At Cerebra, I led key initiatives that utilized AI and data insights to optimize operations and drive business growth. I developed an AI-powered chatbot that streamlined and accelerated stakeholder data requests, improving efficiency. By leveraging data-driven forecasting, I influenced recruitment and retention strategies that contributed to better employee retention.
Additionally, I played a critical role in expanding a flagship product to a broader market, significantly increasing both revenue and client reach. My experience showcases my ability to deliver strategic solutions, align cross-functional teams, and drive results through technology and data.
Key Skills
Product Design
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Stakeholder Engagement
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Product Roadmap
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Machine Learning
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Data Science
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AWS
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Business Analytics
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Project management
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Generative AI
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Agile Sprint Planning
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Product Design • Stakeholder Engagement • Product Roadmap • Machine Learning • Data Science • AWS • Business Analytics • Project management • Generative AI • Agile Sprint Planning •
Case Studies
Kindle Recap
A personalized recap feature will help Kindle users re-engage with books after breaks by summarizing content that was completed by them
Style Swipe
Amazon's current shopping experience overwhelms users with endless product lists, leading to choice paralysis. The proposed Amazon Style Swipe introduces a card-based interface for engaging and personalized fashion discovery.
Carbon Aware Refunds
Encourage eco-conscious shopping by displaying the environmental impact of product returns in relatable terms (e.g., "driving 15 miles") during the return process. This feature aims to reduce unnecessary returns and promote sustainability through informed customer decisions.
Recommendations
"I could always rely on Abhishek to bring his creativity and ideas to the table, and could count on him to put in the time, do the hard work to get the project to the finish line."
David Wanik, University of Connecticut
"Abhishek has the ability to work independently and has great judgment when necessary. He is equally as skilled to work collaboratively with me and other students."
Kat Duncan, University of Connecticut
Get in Touch!
Have a question or want to work with me? Reach out!
FAQ
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Empathy is my biggest superpower, it comes naturally to me. I spent six years learning how to deeply understand people's problems while preparing to work for the Indian Government. That experience taught me how to listen, identify pain points, and prioritize solutions. At Amazon, I use these skills to understand customer needs, anticipate their challenges, and be their voice in building products that truly solve their problems.
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I rely on data-informed prioritization to make thoughtful decisions. I gather both qualitative and quantitative insights to ensure my decisions align with our key goals. Every Friday, I organize my action items into must-haves, should-haves, and could-haves to plan the upcoming week. I ensure stakeholders are kept informed by clearly communicating my priorities, sharing the rationale behind decisions, and setting realistic expectations
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I follow a structured approach to learn and improve:
Introspection: I step back to analyze the root cause, identify what can be salvaged, and prioritize fixing it.
Feedback and Mentorship: I gather feedback from those affected by the setback and seek advice from individuals who have succeeded where I fell short.
Iterate and Improve: Armed with these insights, I approach the challenge again—more prepared and with heightened awareness.
At Amazon, I’ve realized that I often look at problems through a unique lens- I owe that to my past failures and everything they taught me.