As part of the Marketing IT team at Onsemi, our team is responsible for maintaining the company's Web Application (https://www.onsemi.com/), which features over 80,000 products, along with its integrated Content Management Application.Roles & Responsibilities:- Introduced new features in the Spring Boot and React.js codebase for the website and the content management application.- Resolved 5+ production issues, ensuring website reliability and performance.- Conducted end-to-end functional, integration and performance testing using JUnit and Mockito

- Implemented scalable REST APIs for retail financing using Flask, Azure Functions and WhatsApp for Business integration, handling over 5,000 daily transactions, resulting in a 60% increase in processing speed and a $50K boost in monthly revenue.- Built a Python application to automate business logic functions for generating sales forecasting and inventory management reports, eliminating dependency on Excel spreadsheets and resulting in a 20% reduction in man-hours per month for the client.- Cut deployment time by 15% by executing 10+ unit and integration tests, ensuring robust production code quality.- Engineered CI/CD pipelines and conducted code reviews using GitHub and GitHub Actions, streamlining project setup.

As a senior member of the Data Science team, my primary responsibility was to ensure the successful execution of client-facing data science projects while delivering customized solutions aligned with business goals. My role involved a combination of project management, client communication, and technical implementation to drive impactful data-driven decisions.Key responsibilities:1. Key Technical Achievements: - Led the development of a credit default prediction model using Logistic Regression achieving 87% accuracy based on credit bureau and financial data from over 1 million data points. - Developed a sentiment analysis model and dashboard on client satisfaction surveys and feedback emails, achieving 82% accuracy, used at the organizational level to improve customer experience management.2. Project Management & Client Communication: - Led end-to-end data science projects from initial client consultation to final deployment. - Collaborated with clients to understand their business needs, set project objectives, and define deliverables. - Managed timelines, resources, and expectations to ensure on-time delivery of high-quality solutions. - Acted as the primary point of contact for stakeholders, ensuring transparent communication and ongoing alignment of project goals.3. Leadership & Teamwork: - Managed a team of engineers, overseeing project management, client communication, code reviews, and documentation through JIRA. - Successfully onboarded and mentored 3+ new hires while improving team collaboration and efficiency by 30%. - Facilitated knowledge-sharing sessions and fostered a collaborative work environment.

- Developed and trained deep learning vision and text models to extract over 50 attributes from product discount images across 100+ product types with 94% accuracy, enriching product data and improving client pricing strategies.- Engineered end-to-end ETL pipelines for feature extraction and data preprocessing, cutting the project lifecycle by 25% and facilitating faster model training and deployment.- Additionally. took responsibility for creating dashboards and reports using Tableau and MySql for the firm's clients.

- Demonstrated a Transformer model PoC achieving 82% accuracy, to generate legal text summaries and classify legal cases.- Developed a custom data extraction solution leveraging Selenium to retrieve legal case documents from selected list of websites.