Sep 2024 – Jan 2026 · 1 yr 4 mos

Sep 2023 – May 2024 · 8 mos · Sunnyvale, California, United States · On-site

• Developed python script to examine the Quality of Service parameters, thereby reducing RCA time and manual effort by 90%.
• Prototyped a multivariate time-series prediction of utilization of CPU and memory at a future date using the VAR model.
• Identified the impact of a parameter over the memory leak in a networking device, reducing the Root Cause Analysis time by 80%.
• Optimized LLM model-LLama along with Retrieval Augmented Generation(RAG) to generate answers for Nuage specific use cases.
• Amongst the Top 10 finalist teams for Shark Tank - Nokia, shortlisted for 2 innovative ideas on Automation & Machine Learning.

May 2023 – Aug 2023 · 3 mos · Bentonville, Arkansas, United States · On-site

• Built an end-to-end machine learning application, deployed on kubernetes(Walmart Cloud Native Provider) and integrated with GCP.
• Intelligently identified the anomalies in audit inventory(using Anomaly detection - Isolation Forest), thereby reducing hidden shrinkage and providing better in-stock accuracy.
• Performed evaluations on the identified anomalies using NLP(TF-IDF) used to identify similar items using item description) and logic to provide reasons for such deviations.

Aug 2022 – May 2023 · 9 mos · Dallas, Texas, United States

• Scraped images from the New york public library and trained CNN model to identify women in images with an accuracy of 89%.
• Generated artistically concatenated description for each of the similar images having alike description using TF-IDF, to be displayed on the art website.

Jul 2020 – Jul 2022 · 2 yrs · Mumbai, Maharashtra, India

• Projects worked:
• Teradata Migration Project: Migration of the on-premise, Enterprise Data Warehouse on Teradata to cloud using Infoworks as ETL tool, Amazon’s Simple Storage Service(AWS S3) as staging area and Snowflake as the Cloud Data Warehouse.
• Developed a python script to identify PII(Personally Identifiable Information) columns using regular expressions.
• Automated the manual migration of files from the network file location to AWS S3 bucket, thereby saving 60% ingestion time.
• Created and configured tables, pipelines and workflows in Infoworks for ingestion of data.
• Converted the logic written in Informatica PowerCenter mappings into corresponding Snowflake Stored Procedures and Automated the process to trigger all Stored procedures using python, thereby reducing the time taken by 50%.
• Developed Autosys JIL scripts for automation of end-to-end ingestion workflows from SQL Server to Snowflake.
• Minerva Project: Reposition of data from the client’s newly acquired subsidiary firm into their existing data lake.
• Solitarily handled development and client communication during the primeval stage of the project.
• Familiarized the team to the existing system for a smooth transition and knowledge transfer.
• Created and configured Infoworks source to fetch data from cloud: AWS Elastic Cloud Compute(EC2) instance.
• Developed an automation script to configure tables in Infoworks with parameters such as natural keys, timestamp columns, etc, significantly dropping the configuration time by 60%. Received appreciation from the leadership at Quantiphi and the client.
• Prosight Insurance: Developing and Rebranding Tableau Reports for the client as per new requirements and conventions.

Jun 2018 – Jul 2018 · 1 mo

• Conducted a market survey by gathering information from disparate sources and generated a report providing valuable suggestions to the company. For instance, Conducting Targeted market campaigns to reach a wider audience, since the survey indicated that not many vendors were aware of the company and its products.

Jan 2018 – Jan 2019 · 1 yr

• Publicity department