Software Engineer @ Amazon | Ex-Google
Based in Davis, California
Software Engineer @ Amazon | Ex- Data Scientist at Google and Ex- Analytics Consultant at Deloitte
Airbus Ship Detection
In this project, we aim to explore the application of deep learning techniques such as Convolutional Neural Networks (CNN), to highlight an innovative approach to automatic ship detection in the context of maritime domain awareness. The paper aims to provide a brief description of the problem,...
Relevium can identify disaster cycles as a medium for identifying the hazard risk and consequently prepare a community for effective mitigation. Vulnerable zones, their types, effects, and the depth of a disaster are identified. This can be used for developing an early-warning communication...
Gradient Boosting Implementation from Scratch
Inspired by the sustained popularity of the Gradient Boosting Regression Tree (“GBTR”) algorithm, we go back to square one in an attempt to complete a from-scratch implementation in Python. This paper documents a journey from the basics of the regression tree algorithm through gradient boosting...
Analysis of IPMUS NHIS Survey Data for Covid-19
In the United States, there have been over 47 million cases of COVID since the pandemic started in early March of 2020. Based on socioeconomic factors, certain groups of people have been affected by the pandemic more than others. In order to take a closer look at the disparities between...
Jan 2023 - Jul 2023
Data Scientist @ WiLo Networks
• Tested 3 weather monitoring sensors on 20 InfluxDB dataset buckets using Grainger causal inference by A/B testing • Compared and modeled various ARIMA time series modeling methods with 89% accuracy for forecasting weather data • Researched the effectiveness of LSTM and RCNN models to run on low-power processors for IoT Raspberry Pi3 devices
Sep' 2022 - Dec' 2022
Data Scientist @ Google
• Assembled a Big Query data interrogation pipeline to analyze 1.5 million customer reviews datasets for Pixel devices • Collaborated with 75 Stakeholders across marketing & business analytics visualizing KPIs using Google Data Studio • Automated data ingestion on Google Cloud Platform using gsutil and BigQuery API, reducing workload on servers • Modeled one-shot learning CNNs for review classification with 93% accuracy, saving $70k in manual data labeling costs
June '22 - September '22
Analytics Consultant Intern @ Deloitte
• Developed 15 API routines to extract results from pre-existing CNN and SVM classification models using Dataiku • Visualized important metrics using Tableau and integrated 5 dashboards into an analytics platform for a flagship project • Optimized database queries and automated ETL pipelines using Python to reduce risk and processing delays by 33% • Summarized footfall & revenue forecasts using data extraction, cleaning, and mining using RNNs with a score of 0.89
Jul 2023 - Present
Software Engineer @ Amazon
Software Engineer under Amazon Traffic Engineering
Masters in Statistics
University of California, Davis
Bachelor's in Engineering- Computer Science
University of Mumbai