Hi, I am Puja Ghimire

Welcome to my personal profile! I am an individual passionate about big-data technology. I grew my interest in technology since my first computer course when I was in grade 7. I strive to bring unique perspectives and ideas to every project I undertake. Through my work, I aim to make a positive impact and inspire others. Get to know me better by exploring my portfolio and projects.

Professional History

Software Development Engineer | Seattle, WA, USA

Sep 2022 - Dec 2023

Launched a feature to support the Amazon Bulk Services program which could potentially save 161MM for Amazon Business every year.
Designed and launched a feature to handle large payloads that uses AWS SQS to share data within services which has a hard limit of 256KB using S3 bucket.
Reduced 20% of the team cost by leveraging an internal tool for our team and provisioning utilization of resources in AWS.
Added automated integration tests for our services pipeline to capture bugs within 90 minutes of deploying code in production along with automated rollback if failed to maintain high quality code.
Created, Updated and Maintained contents of DynamoDB database store with 3MM products to be the single stop point for amazon fulfillment related purposes
accessed by internal customers worldwide which provided the needed data within SLA.
Created AWS SQS to get data from the cross functional team by subscribing to their available AWS SNS topic to onboard new identifiers into the database store.
Constructed monitors and alarms using Amazon Carnaval, logged processes and maintained dashboards using AWS CloudWatch to observe health of services.
Analyzed data coming into our services with 40,000 TPS through various sources using Python to populate business metrics and automated graph creation using Monitor Portal for Weekly Business Reviews which helped identify future projects.
Won an internal Hackathon upon creating a service that helps teams set alarm threshold for each services by analyzing historical data using Isolation Forest technique
Estimated yearly budget for our team’s services for the following year by analyzing previous year’s capacity using Python with 95% accuracy.

Data Science Intern | Bengaluru, KA, India

February 2018 - June 2018

Discovered the top 10 KPI and KPC that uplifted revenue for a client using machine learning algorithms
Documented client requirements in client meetings for team reference
Found similarity between products using cosine similarity to generate similar products using R

Home: Experience

Data Scientist | Bengaluru, KA, India

August 2018 - July 2020

Recommended promotions for ~2,400 items which helped client generate 12% more revenue than previous year by analyzing historical data and applying machine learning algorithms in seasonal data for a retail client
Implemented cannibalization technique using R to identify cannibalized products which increased 10% sales
Performed competitor analysis by web scraping competitor data and analyzing using R and SQL which helped in generating 5% more revenue
Cleaned client data and performed Exploratory Data Analysis on Marketing campaign using Python libraries NumPy and Pandas to measure efficiency
Derived insights using R and SQL to identify potential fraudulent transactions for a client which saved ~3MM every year.
Developed an allocation tool that helped client to allocate multiple products at a time which saved ~5 hours of manual work
Extracted, Transformed and Loaded weekly transaction data into an internal database for forecasting sales using Apache Airflow.
Used Tableau to create visualization dashboard for weekly meetings to show YoY and MoM improvement in sales for a retail client

Graduate Teaching Assistant | Boston, MA, USA

January 2022 - April 2022

Collaborated with faculty to deliver lecture and provide clarifications on course material for Data Management and Database Design
Evaluated student course assignments, exams, projects and provided constructive feedback to students to help improve their performance in the course.