SUBHASHISH DAS

Experienced in utilizing machine learning models to solve real-world problems and enhance business outcomes.

ML Model Monitoring Solution on Vertex AI   

• Currently working on migrating ML Models for a utility company to GCP Vertex AI

• Develop a Model Monitoring Application utilizing Vertex AI Monitoring Services and subsequent UI on Streamlit

Tech Stack: GCP Vertex AI

Fuel Additive Sales Analysis in the European Region

• Data Engineering of fuel additives sales data of the European region 

• Subsequent visualization in Power BI for insights generation

Tech Stack: Microsoft Fabric, Microsoft Power BI

Creating a Multi-PDF Chatbot Using LangChain Object Box

• Designed Q & A chatbot that provides an option to upload multiple PDF and external sources

• Users were able to get quick responses by feeding in Queries on troubleshooting issues, thus improving system efficiency by 10 minutes

Tech Stack: Python, Flask, Docker

Developing a gas leak detection sensing system using AI/ML

• Utilized gas consumption data from 750K premises over 2 years for analysis.

• Applied clustering techniques and ensured model accuracy as the primary evaluation metric.

• Model saved around US$ 75k within a single Quarter for the client.

Tech Stack: Python, Databricks

Conducting sentiment analysis on brand utilizing Twitter comments.

• Extracted a particular hashtag associated with a specific brand name through the API.

• Employed NLTK and VADER for sentiment analysis of comments, segregating them into Positive, Negative, and Neutral classes.

• Created an API using Flask for model deployment.

Tech Stack: Python, Flask, Docker, AWS

• Data Analysis with Python
• Data Analysis with Python by IBM
• Business Intelligence
• AWS Cloud Practitioner
• Dataiku
• Power BI