Jun 2021 – Aug 2021 · 2 mos

• Performed exploratory data analysis on datasets using Google Cloud Platform’s BigQuery, building predictive models to understand future trends in the data, and visualizing them with the help of tables, plots, and graphs.
• Wrote GraphQL queries with the help of Hasura Cloud to provide data to the front end.

Feb 2021 – May 2021 · 3 mos · Manhattan, New York, United States

• Built ETL that ingested transactional data over 100 GB, saved in CSV format, and converted them parquet files with the help of pyspark. Further loaded these parquet files into Google Big Query and wrote SQL queries to analyze and generate plots with python libraries such Matplotlib, Seaborn, and Plotly.
• Hands on experience with Google Cloud Platform, working with public datasets such as Federal Election Commission data to analyze the distribution of donations in the 2020 elections.

Sep 2020 – Dec 2020 · 3 mos · New York City Metropolitan Area

• Utilized MVC architecture to develop CRUD operations using Flask to detect and analyze occupancy through sensor data.
• Implemented AWS SAM framework to build and deploy services such as Lambda, S3, RDS and SQS.
• Researched tradeoffs on using Athena vs Lambda to perform ETL operations for fetching data from S3, storing it in a database, and generating a JSON in S3.
• Designed robust and secure RESTful APIs as a microservice using Flask to create web service endpoints.
• Worked with Elastic Beanstalk for quick deployment of services such as EC2 instance, Load Balancer, and RDS on AWS.
• Used Jenkins for CI/CD and created scripts that integrate with Jenkins to trigger the pipeline.
• Wrote Swagger files to document GET, POST, PATCH and DELETE operations.

Jun 2020 – Jul 2020 · 1 mo · New York City Metropolitan Area

• Taught and mentored students to understand the concepts of an embedded system (Arduino Uno), by having a hands-on approach by building circuit boards using various sensors such as a phototransistor, potentiometer, servo, touch sensor, RFID & Bluetooth. Demonstrated Fusion 360 to build 3D models of real-world objects.
• Explained how products are marketed in the real world and the protocols that are followed by the leading business companies such as Nike and Apple.

Apr 2020 – May 2020 · 1 mo · New York, United States

• Worked on NYU HPC cluster Prince for managing codebase and used SLURM for job scheduling while running experiments on NVIDIA v100 GPU servers.
• Ran machine learning schemes (pose detection, optical and visual flow, action recognition, object detection) on video data.
• Object detection was implemented by building 3d bounding boxes around them.

Feb 2020 – Apr 2020 · 2 mos · Manhattan

• Employed IAM to create and control AWS users & groups access to AWS services and resources.
• Designed cloud environment to host a web based chatbot and voicebot application using S3 bucket.
• Provided unique identification for users who accessed the web page using AWS Cognito.
• Used AWS Lambda as a serverless service to interact with Amazon Lex and AWS Dynamo DB.
• Stored and saved the user input from the bots in a Dynamo DB table.