Leading the data science and data analytics practice to develop Large Language Models (LLMs) based ventures and drive the navigation of the organization.

Envisioning the studio’s theme and mission in the domains of AI and ML through lean and agile practices.

Creating end to end products with optimized performance through dedicated and on‑prem hosted server orchestrations.

Designing the studio’s design strategy for implementing inclusive and AI oriented design thinking process for the impactful projects in startup ecosystem.

Developing a ideation and growth strategist using generative AI with explainable AI framework.

Leading the data science and data analytics team to develop customer oriented data solutions covering data mining, exploratory data analytics, perspective data analytics, descriptive data analytics, time variant data analytics and predictive data analytics for a broad spectrum of industries including financial, retail, consumer based products and real estate industry using legacy statistical data modeling, traditional machine learning, deep neural networks, reinforcement learning, and meta learning on Python, Google Cloud products, AWS and Microsoft based solutions.

Developing big data analytics infrastructure, framework and strategies incorporating AI/ML and DL for enterprise clients in multitude of industries using GCP.

Leading the data analytics division at the global level and managing a team of more than 20 developers.

Driving the organizational policy and strategy in the domains of data science and analytics and providing direct insights to top management for orchestrating the vision of data analytics division.

Developed a Dedicated Pipeline with an ensemble of 14xEstimators with a multitude of Pre-processing Strategies/Feature Engineering Techniques for Reliable and Robust Prediction of eV Battery Properties.

Developed a Dedicated Pipeline with an ensemble of state of the art Regressors alongwith a collection of Feature Engineering Techniques for Black-box Optimization of the Solution Space using Bayesian Optimization.

Conduct of Multi-Objective Optimization using advanced Genetic Algorithms/ Evolutionary Algorithms for enhancement of throughput of Optimized Solution Space with a sequential pipeline strategy.

Worked on Reinforcement Learning for estimation of receptivity score using twitter data as the main dataset coupled with extrinsic scrapping based mixed data.

Created & Deployed a model which increased the content reach of NPOs/NGOs for funding and other opportunities by 20%

Worked on Image Classification and Object Recognition for detection of smuggling activities over sea using IR & Daylight Images

Guided a team of five machine learning engineers with the task of implementation of successful image classification model using CNNs with an overall accuracy increase of 12%

Implemented a Reliable & Real Time Fuel Estimation Neural Network Model in Unmanned Aerial Systems which reduced Mean Absolute Error by 72%.

Implemented a SMART Technical Record Management System which optimized the overhauling and maintenance schedules of 52 aircraft components using AI based Anomoly Detection Framework

Spearheaded the development of SMART Predictive Maintenance & Product Invenotory Management System using Forecasting

Reduced the risk factor of the autonomous flight by 23% by introducing AI- enabled Early Warning System

Conducted 23 Root Cause Analysis Sessions with in-house built AI Enabled Fault Tracing and Forensic Engineering Mechanism