Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India

Jul 2022 – Jan 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

• 1. Implemented ETL Piper Pipelines in UBER's environment to efficiently process raw Self-Driving Car Big Data from AWS S3 Bucket and populating into variety of formats like HIVE tables, CSV, TSV, XML and JSON periodically using Pyspark and Hadoop.
• 2, Developed Metrics, KPIs for operator performance, including Throughput (Entity Count, 2D/4D
• Label Count, Active Time), Time on Tool (TOT), Metadata Productivity, Moving/Stationary labels creation & edit time using SQL in Presto, HIVE, MySQL Databases.
• 3. Enhanced operator performance by 23% compared to the previous year by measuring and tracking Quality KPIs such as Precision, Recall, Classification, Geometry, Motion, Linking, and Metadata during scene labeling in the tool.
• 4. Streamlined Metrics and Performance data into Dashboards, MS Excel/Google Spreadsheets with comprehensive visual representations, allowing easy tracking of operator progress in 2D/4D, TOT, Metadata, and Performance.
• 5. Automated manual tasks using Python including data updates in the repository, Quality, Bugs, Error Category Analysis (ECA), and Performance report generation. This led to a remarkable increase in efficiency and productivity, reaching up to 90%.
• 6. Created a website leveraging Amazon's Analytics services, including AWS EMR with their Compute services such as AWS Lambda, AWS EC2, Load Balancer. Additionally, the website utilized AWS S3 for storage purposes and working on Google Cloud Platform (GCP) stacks like Big Query.

Sep 2021 – Aug 2022 · 11 mos · Pune, Maharashtra, India

• 1. Understanding the business objective & identifying business areas that can be improved to increase efficiency and strengthen business processes by working closely with clients and implementing Analytical and Problem-Solving Skills to communicate our findings and help implement changes, resulting in improvement of the product.
• 2. Developing test scripts for API and UI Automation on SAP Fiori Launchpad using Robot Framework in Python and successfully executed 100+ test cases to improve the end-to-end platform including design, development, implementation, testing, user & customer experience and to deliver the best product.
• 3. Implementing GIT and Bitbucket for version control to track changes in the source code and collaboration to be merged into one source resulting in updated code to improve the development of the product.
• 4. Implementing JIRA tool and Agile methodology for roadmaps, project reporting, sprint and release planning, CI/CD integration and issue tracking to drive billing, revenue growth and profitability.

Apr 2021 – Sep 2021 · 5 mos · Noida, Uttar Pradesh, India

• 1. Collected historic data for different games played in different states in US, applied feature engineering techniques, statistical models and ML Algorithms to develop Lottery Prediction Solution and deployed on AWS EC2 instance.
• 2. Tracked and monitored the performance of existing Computer Vision OpenCV Based Object Detection and Classification Models like YOLO, Faster RCNN, RNN and conduct review and published a research paper.
• 3. Developed Augmented Reality (AR) Virtual Glasses and Watches Try-On android application (.apk) where user can try-on and buy glasses and watches.
• 4. Optimized Natural Language Processing (NLP) Data Pipeline solution where a user can search a query and the solution will scrap data from multiple websites and will give you its Summary, Sentiment Analysis, Threat Analysis.
• 5. Improved Face Recognition Attendance Management System (AMS) and deployed on AWS EC2 instance for employee’s attendance entering and leaving the premise.
• 6. Built optimal retrieval-based Chatbot API solution using Deep learning and NLP, utilizing (Bi-LSTM) to classify by Animal Symptoms Diseases and deployed on AWS EC2 instance.

Jul 2020 – Jan 2021 · 6 mos · Pune, Maharashtra, India

• 1. Researched, tracked and monitored the performance of existing Neuro-Symbolic AI and Graph Neural Networks models and conducted reviews.
• 2. Published a research paper to identify contradictions in legal sector using NLP Models like Google ELMo, BERT, XLNet, and ALBERT.
• 3. Built a Natural Language Understanding Contradiction Solution to identify and highlight contradictions using ALBERT model and increased the model’s accuracy to 88% which will help advocates and judges in Legal Industry.
• 4. Created data visualization graphics, translating complex data sets into comprehensive visual representations, finding patterns using different visualization libraries in Python and R Language and delivered insights, progress and concise summary to peers and clients.

Jun 2020 – Jul 2020 · 1 mo · Pune, Maharashtra, India

• 1. Solved Market Basket Analysis problem statement by building a model on offline and online store dataset which allows the retailers to drive billing, revenue growth and profitability through advanced analytical techniques and maximize business returns by institutionalizing efficient and accurate models.
• 2. Analyzed large data sets, predicted missing values, performed Exploratory Data Analysis (EDA) visualization graphics, translating complex data sets into visual representations to find patterns and relationship between the items that people buy resulting to increases sales and developed Product Recommendation System.

May 2019 – Jul 2019 · 2 mos · Goa, India

• 1. Designed Conveyor Belts and its parts in Solid Works for planning, visual ideation, modeling, feasibility assessment, prototyping, and project management.
• 2. Used different CNC Machines to control a range of complex machinery, from grinders and lathes to mills, CNC routers and manufacture the parts of Conveyor Belt
• 3. Assembled Conveyor Belts and completed the orders within the timelines of Nestle, Colgate, Bosch and P&G.