Aug 2024 – Mar 2025 · 7 mos · Bengaluru, Karnataka, India

• Worked on feature for emailing job run metrics using SMTP java to the customer. Used Apace Velocity for templatizing HTML code for the body of the email.

Jun 2022 – Aug 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Objective
• Enable customers to utilize Zeppelin notebooks deployed on Google Dataproc for running ETL workloads, providing enhanced control over configurations along with data visualization capability
• Initiatives
• Developed CRUD APIs for configuring Spark interpreter settings, enabling users to precisely tailor their code execution environments for optimal performance and scalability
• Automated Dataproc cluster creation and deletion using Apache Airflow operators, incorporating dynamic triggers in DAGs for robust and enhanced exception handling
• Streamlined database migration with FlywayDB considerably reducing manual interventions
• Optimized code using a Finite State Machine to manage cluster functionalities based on
• status, significantly enhancing readability and reducing overall code complexity
• Objective
• Created an ETL tool with drag-and-drop functionality, enabling users to build SPARK pipeline without coding, view generated Spark code, and execute specific nodes to inspect resulting tables
• Initiatives
• Integrated PRISM.js library for code highlighting while displaying generated code for a node
• Developed a template-based code gen. tool using Apache Velocity for topologically sorted nodes. • Utilized an in-house Jenkins-based tool to build, package, and deploy generated code, ensuring
• seamless integration with GitHub for streamlined code deployment.

Jun 2021 – Aug 2021 · 2 mos

• Extract sentiment-charged words and develop a dictionary superior to Loughran-McDonald using supervised learning
• Develop a model that predicts the return on stocks by extracting information from news articles of Economic Times
• Deployed web scraping algorithm using BeautifulSoup module to extract economic news articles for the year 2019
• Employed pandas module to stored info. in structured format, eliminating data redundancies for NSE top 100 companies
• Employed Natural Language Processing library nltk to tokenize, lemmatize and remove stopwords from the raw data
• Implemented SESTM algorithm to develop a sentiment-charged dictionary to evaluate the sentiment score for new article
• Employing the Long-short strategy with above fabricated model resulted in an effective portfolio for predicting returns

May 2021 – Jul 2021 · 2 mos · Kanpur, Uttar Pradesh, India

• To design an ML-based web-application to extract data from multiple text and image files using OpenCV and Tesseract
• To Build a 3 layer architecture to develop environments by modularising user interface (UI) and data storage layers (DSL)
• Connected the Presentation, Application and Data Access Tier of the software using PHP cURL, Python and MySQL
• Designed a PHP based client app to identify objects and text with 65% average precision in files using YOLO and Tesseract
• Engineered Main Server and implemented an efficient search algorithm capable of suggesting keywords to end-users
• Processed, refined and stored data acquired via end-user in a space efficient and secured relational database schema
• Independent installable softwares for client and server, designed for easy access to different documents in a library
• Program capable of finding relevant files from more than 10 million files to users on demand, saving hours of manpower