Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Neural networks and GENAI.
Overview
15
15
years of professional experience
6
6
years of post-secondary education
1
1
Language
Work History
Data Scientist
Shell India Market Limited
05.2021 - Current
Finding patterns in huge, intricate datasets and deriving insightful conclusions from them
Able to convert unprocessed data into useful knowledge and to propose classification schemes, clustering algorithms, and create Predictive analytics models to address business issues
Developed CNN Machine Vision models in Azure with Corrosion specific in Oil and Gas and having a thorough understanding of all the classes and version control.
Lead a team to oversee and monitor AI business cases from identification to value tracking.
Collaborated with internal/external entities and third parties to drive AI implementation advancement in the gas industry.
Prioritized AI business cases and oversaw the quality of deliverables required to secure funds.
Developed a roadmap to scale-up AI solutions across the Business Line.
Facilitated and monitored AI solutions development and execution phases with all stakeholders.
Developed Generative AI cases for Safety, Environment, Operations, and Maintenance.
Applied statistical analysis methods to test hypotheses and validate results based on project use-cases.
Built and trained machine learning models to solve specific problems and optimize models for performance and accuracy, such as anomaly detection algorithms or predictive models.
Assessed, identified, and mitigated key risks associated with cybersecurity and ensured data practices adhered to company regulations and data privacy standards.
Designed, developed, and deployed ML/NLP models, including advanced LLMs and transformer-based models.
Preprocessed, cleaned, and transformed large text datasets for modeling and analysis.
Optimized, fine-tuned, and deployed LLM/DL models for high performance and scalability.
Collaborated with cross-functional teams to deliver tailored and integrated solutions.
Stayed current with the latest advancements in NLP, machine learning, and generative AI.
Executed projects with MLOps concepts, ensuring robust solutions at every stage.
Computer Vision Engineer
Rudram Phronesis (IIT Madras Research Park)
02.2020 - 03.2021
Accomplished in developing a Face Recognition Module using Open CV, Tensorflow, PyTorch
Object Detection - a) single detection as well as multiple weights - Garbage bin, Number plate, Helmet-with or without, Mask
Worked with company for Video Analytics and IOT roadmap creation and phase wise documentation
Created framework for face recognition using FLASK, Django
Product Visualization using Tableau & Power BI
Worked in company product Roadmaps and interaction with Clients
Leading team with new innovative projects and ideas
Data Researcher
Global Mantra Innovation
01.2019 - 01.2020
Designed Natural Language Processing Algorithm with Spacy for laboratory Report data Extraction for the project Family Health Book
Done object detection model for different classification analysis using Convolutional Neural Network
Diabetic Retinopathy analysis using different fundus images with inception v3, Attention model
Developed comprehensive and user-friendly databases using queries and macros in MS Access
Asst Professor in ECE/Mechatronics
MITE
07.2014 - 12.2018
Asst Professor
SIST
08.2010 - 08.2012
Education
M-Tech - VLSI Design
Anna University
Chennai
08.2012 - 06.2014
B-Tech - undefined
Cochin University
08.2006 - 04.2010
Masters in Machine Learning and Deep Learning with Python -