Shonit Gangoly Email & Phone Number

California, United States

San Jose, California, United States

• Developed and deployed a predictive maintenance model using PyTorch, reducing system downtimeby 20% through early detection of potential failures.
• Implemented a customer segmentation system leveraging K-means clustering and PCA in Python,enabling targeted marketing strategies and improving customer retention rates by 15%.
• Created a recommendation engine prototype for an e-commerce platform using collaborativefiltering techniques, contributing to a personalized shopping experience.
• Designed and optimized a real-time fraud detection model with PyTorch, achieving a 95% accuracyrate and significantly reducing false positives.
• Developed and maintained data pipelines for ETL processes using Pandas and NumPy, ensuring cleanand reliable data for machine learning models.
• Conducted extensive A/B testing and hyperparameter tuning to optimize machine learning models,leading to a 30% improvement in model performance.

San Francisco, California, United States

• Orchestrated the deployment and management of staging and production clusters on AWS ECS, significantly increasing system scalability.
• Built SQL scripts to integrate Apache Airflow DAGs with Snowflake tables, improving deployment efficiency.
• Designed and implemented multiple CI/CD pipelines using Github Actions and Bash Scripts, accelerating code deployment by 35%
• Set up efficient data processing pipelines with Apache Airflow, improving data management and processing speed.
• Boosted the user base of the Twitter Audience Builder feature from 2M to 20M.
• Developed robust UI using Next.js and Material UI, enhancing user experience.

Mumbai, Maharashtra, India

• Devised a Python-based NLP assistant for IBM clients to automate customer support with tailored responses.
• Engineered custom Chatbots utilizing IBM Watson to enhance internal workflows for calendar scheduling.
• Implemented Decision Trees/Random Forests models to increase response efficiency of NLP assistant by 30%.
• Developed an advanced React-based front-end for an AI chatbot, with a user-friendly interface.
• Implemented NodeJS scripts to allow seamless integration of the NLP assistant with backend APIs.
• Enhanced user support systems and conducted post-incident analysis to refine service responses

Master Of Science - Ms, Computer Science, 3.85

Bachelor Of Technology - Btech, Computer Science, 3.42