Aditya Narayanan Email & Phone Number

Seattle, Wa, Us

Seattle, Washington, United States

Seattle, Washington, United States

Amazon Business Marketing AnalyticsHelping Amazon Business grow their $30B B2B initiative on the Marketing Analytics team.Building automation solutions, dashboards and marketing KPIs for 200+ stakeholders focusing on areas in Acquisition and Registration.Managing data infrastructure and pipelines for 200+ stakeholders

Amherst, Massachusetts, United States

• Worked with Professor Gordon Anderson to develop the Introductory Data Science Course at UMass • Designed the structure of the final project for 60+ students every semester. • Awarded Outstanding Undergraduate TA for 3 semesters.Spring 2022 - Undergraduate Teaching Assistant for Introduction to Data Science in RFall 2021 - Undergraduate teaching assistant for Predictive AnalyticsSpring 2021 - Undergraduate Teaching Assistant for Introduction to Data… Show more • Worked with Professor Gordon Anderson to develop the Introductory Data Science Course at UMass • Designed the structure of the final project for 60+ students every semester. • Awarded Outstanding Undergraduate TA for 3 semesters.Spring 2022 - Undergraduate Teaching Assistant for Introduction to Data Science in RFall 2021 - Undergraduate teaching assistant for Predictive AnalyticsSpring 2021 - Undergraduate Teaching Assistant for Introduction to Data Science in R- Led Data Science lab sessions where 60+ students would collaboratively solve mini-data science projects ranging from data analysis to machine learning algorithms.- Successfully graded activities and labs students. Show less

Beaverton, Oregon, United States

Global Ops and Logistics (GOaL) Advanced Analytics team• Designed and built a baseline supply chain model to aid in location of a new Nike Returns Facility to support the forecasted 5X growth of North America product returns by 2025. • Collected and analyzed millions of rows of reverse logistics data through advanced querying, and computed metrics to hypothesize about new Return Center locations to influence distribution strategy.• Developed a Linear Programming and K-Means… Show more Global Ops and Logistics (GOaL) Advanced Analytics team• Designed and built a baseline supply chain model to aid in location of a new Nike Returns Facility to support the forecasted 5X growth of North America product returns by 2025. • Collected and analyzed millions of rows of reverse logistics data through advanced querying, and computed metrics to hypothesize about new Return Center locations to influence distribution strategy.• Developed a Linear Programming and K-Means model to determine which new Returns Centers would service consumers based on their order locations and minimize shipping costs and environmental impact.• Presented this solution to key senior stakeholders, which is projected to reduce overall shipping cost per unit and distance traveled to returns centers which would help increase product flow. • Won the 1st place prize at the Analytics Hackathon in a team of 3, where I created a tool to allow Nike teams to analyze consumer reviews and discover most talked about topics in the comments using sentiment analysis. Presented the project to top executives.• Tools: Python, Snowflake SQL, Jupyter, Tableau Show less

• Conceptualized and developed an accessibility tool to empower the visually impaired via an autopilot for humans, committed to delivering accessibility, autonomy and inclusion• Participated in An international collaboration between teams in Brazil and the US, made possible by Google for Education• Built a cross-platform mobile application leveraging cloud compute, machine vision and natural language with 10+ users in a closed alpha testing trackTech Stack: Flutter, Firebase… Show more • Conceptualized and developed an accessibility tool to empower the visually impaired via an autopilot for humans, committed to delivering accessibility, autonomy and inclusion• Participated in An international collaboration between teams in Brazil and the US, made possible by Google for Education• Built a cross-platform mobile application leveraging cloud compute, machine vision and natural language with 10+ users in a closed alpha testing trackTech Stack: Flutter, Firebase, Android, Google Cloud Platform (GCP). Show less

Seattle, Washington, United States

• Owned design, development and shipment of company’s 1st business intelligence tool to track enterprise platform customer activity to identify upsell opportunities and increase revenue.• Built customized dashboards for internal and external stakeholders to make effective data-driven business decisions. Presented these dashboards to key executives.• Facilitated cross-functional collaboration between product, marketing and sales teams to aggregate metrics in the ETL data pipeline, to… Show more • Owned design, development and shipment of company’s 1st business intelligence tool to track enterprise platform customer activity to identify upsell opportunities and increase revenue.• Built customized dashboards for internal and external stakeholders to make effective data-driven business decisions. Presented these dashboards to key executives.• Facilitated cross-functional collaboration between product, marketing and sales teams to aggregate metrics in the ETL data pipeline, to improve platform features and increase productivity.• Created a custom real-time analytics tool for the engineering team to monitor platform health for all services used in various production and development environments thereby increasing productivity of engineers.• Tools: Python, Elastic Stack, AWS S3, AWS RDS, AWS Lambda, AWS EC2, JIRA. Show less

Bangalore, India

• Co-Designed and implemented a data solution which reduced overall operational cost. This data solution was developed to collect telemetry data and perform analytics for operational usage of the company’s Energy Devices called Quick Interchange Stations.• Collaborated and developed an analytical pre-processing pipeline for data aggregation at the Edge to reduce the computation and storage cost by 30% in the cloud. • Performed data analysis on the aggregated data and presented results… Show more • Co-Designed and implemented a data solution which reduced overall operational cost. This data solution was developed to collect telemetry data and perform analytics for operational usage of the company’s Energy Devices called Quick Interchange Stations.• Collaborated and developed an analytical pre-processing pipeline for data aggregation at the Edge to reduce the computation and storage cost by 30% in the cloud. • Performed data analysis on the aggregated data and presented results and final product to key executives during the intern showcase. • Tools: Python, Microsoft Azure, MongoDB, REST API, Apache Kafka, Kibana, Git. Show less

Bachelor Of Science - Bs, Data Science And Statistics, Computer Science, Cum Laude

Activities and Societies: One of the founding members of Google Developer Student Club UMass (DSC); HackUMass Organizing Team.

High School Diploma, Computer Science, Math, Physics, Chemistry

Activities and Societies: Student Council, I.T. club, Changemaker Program, Table Tennis and Cricket school team.