Vivek A
Data Science Manager
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolVivek A is a Data Science Manager based in Seattle with 11 years of experience applying machine learning and time series forecasting to supply chain, transportation, and logistics problems at scale. He has progressed through technical and program leadership roles at Amazon, driving forecasting and decision-support systems across inbound/outbound logistics and transportation technologies. His hands-on work spans classical and deep learning time-series methods (DeepAR, GluonTS, ARIMA, ETS), ML tooling in Python, and practical deployment patterns for demand and inventory planning. Vivek also contributes to public examples for Amazon Forecast, creating notebooks that demonstrate real-world time-series preprocessing and DTW KMeans clustering for retail data. Earlier in his career he combined systems and program management experience—delivering payments integrations and automation across regions—bringing a rare mix of executional rigor and data science craft. He holds an MS in Computer Science from Georgia Tech and is known for translating complex operational constraints into robust predictive solutions.
11 years of coding experience
19 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Engineering - BE Electronics Engineering, Bachelor of Engineering - BE Electronics Engineering at University of Mumbai
Github Skills (13)
data-preprocessing10
pandas10
notebook10
machine-learning10
time-series10
python10
clustering10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
scikit8
scikit-learn8
Programming languages (2)
Github contributions (5)
aws-samples/amazon-forecast-samples
Jul 2021 - Sep 2021
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Role in this project:
Data Scientist
Data ScientistContributions:6 reviews, 9 commits, 5 PRs in 1 month
Contributions summary:Vivek's primary contribution involved cleaning, preprocessing, and analyzing a time-series dataset related to online retail. They developed notebooks for data preparation, including handling missing values and transforming the data. Furthermore, the user implemented time series clustering using the DTW KMeans algorithm, performed data splitting for training and testing, and prepared the data for time-series forecasting.
amazon-forecastonboardpythondata-scienceamazon
Yatrie/MarioAI
Jul 2015 - Jan 2019
Contributions:1 push, 1 branch in 3 years 6 months
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