Sep 2022 – Feb 2023 · 5 mos · San Francisco Bay Area

• 1. Helping an energy company to conceptualise prototype for peer 2 peer energy trading and go to market strategy.
• 2. Gathering of AI layer for the risk and data analytics and developing implementation road map.

Apr 2022 – Aug 2022 · 4 mos

• Consumer Behaviour Analytics on social media data for pharmaceuticals firm :
• 1. Reduced product time to market by 40% by benchmarking capabilities of heterogeneous data science tools (Dataiku, Brandwatch and Conversus) to find the best product.
• 2. Developed MLops pipelines using Dataiku and deployed them on Docker containers.
• 3. Increased the revenue by 25% by developing sales forecasting models by blending sales data and social sentiments as external parameters using ARIMA, SARIMAX and Facebook Prophet.
• 4. Decreased negative feedback by 40% using topic modelling techniques to identify anomalies and helped the marketing team with insights.

Mar 2021 – Apr 2022 · 1 yr 1 mo

• Model Monitoring using AWS Sage maker :
• 1. Using AWS Sage maker created advanced monitoring capabilities for the ML models in production to detect data drift, model drift and retraining the models.
• 2. Using AWS quicksight and cloud watch created visualization to track model monitoring.
• Expediting data preparation to model training by 70% using Azure Databricks pipeline to incorporate bronze, silver and gold architecture for ETL on the delta lakes.

Oct 2019 – Mar 2021 · 1 yr 5 mos

• Responsible for developing Machine Learning Pipelines using Ml flow and github actions.
• Developed in house ML operations pipeline tool using various open sources and integrated them via APIs
• Was responsible for creating ML models using AWS sage maker and deployed them on AWS marketplace as a listings.

Oct 2018 – Oct 2019 · 1 yr

• Responsible for developing Machine Learning Models on predictive analysis to solve clients business questions.
• Integrated models to the enterprise solutions by creating APIs, containerising them and deploying them on kubernetes.
• Represented my firm on various data science hackathons.

Jul 2017 – Oct 2018 · 1 yr 3 mos

• Responsible for developing framework for X2C2 (Anything to cloud powered by cognitive solutions)
• Worked on developing solutions for helping customers to chose appropriate cloud for migration and ROI calculation. Used R and R shiny for development