As a Data Science Associate Manager with over 7 years of experience, I specialize in leveraging cutting-edge technologies to deliver impactful data-driven solutions. My expertise spans across Python, GCP, MS Azure, and a variety of AI and ML techniques, including NLP, machine learning, and deep learning. I have a proven track record in developing RESTful APIs and building scalable applications using Flask. My proficiency also extends to data visualization and automation through tools like Power BI and Power Apps, enabling businesses to make informed decisions. In addition to my technical skills, I am deeply involved in the emerging field of Generative AI, applying it to innovate and optimize business processes.
Overview
7
7
years of professional experience
Work History
Data Scientist Assoc Manager
Accenture Solutions Private
08.2019 - Current
Gen AI Engineer, Proposal-Contract Lifecycle leveraging Gen AI Developed a platform using Generative AI to facilitate the uploading of Response for Proposal (RFP) documents, create embeddings, and store them in a vector database. Implemented a chatbot interface allowing users to query and retrieve information based on the uploaded documents.
Prompt Engineer, Ad Assistant Utilized GPT-4 and DALL-E 3 to design LinkedIn and Twitter ads, integrating company history, advertising objectives, brand guidelines, imagery, logos, and color schemes to create compelling text and visuals.
Lead Data Scientist, Packaging 360 Spearheaded the development of the Packaging 360 Tool, a comprehensive solution with six distinct modules (RMO, Should Cost, Complexity Reduction, Teardown, Sustainability, CPRM) designed to optimize packaging operations.
Led a four-member backend team to design and deploy machine learning models and custom algorithms, resulting in significant efficiency gains and cost savings.
Developed over 50 backend APIs using Python and React, ensuring seamless integration and scalability. Deployed solutions on GCP with readiness for Azure deployment.
Lead Data Scientist, PepsiCo Design to Value Customized the P360 tool for PepsiCo, focusing on North America and the UK markets.
Developed teardown and should-cost models for various product categories, enhancing the tool's user-friendliness and flexibility.
Lead Data Scientist, Goodyear Designed and developed a Dash Plotly tool for part rationalization and cost optimization, enabling users to run optimizations and receive results in real-time.
Built a Power BI dashboard to visualize insights derived from Python scripts, aiding in data-driven decision-making.
Lead Data Scientist, Dow Chemicals Developed a Gen AI-powered Tail Spend Optimizer Tool in Power BI, automating contract negotiations and generating supplier insights.
Implemented PPV and index price analysis to enhance supplier performance evaluation.
Data Scientist, Under Armour Simplified the complexity of MOCs by optimizing and clustering dimensions using a customized Python-based optimizer.
Data Scientist, Medtronics Extracted and rationalized part specifications from engineering drawings using open-source multimodal Generative AI tools, leading to significant complexity reduction.
Data Scientist, Cummins Developed solutions to optimize and rationalize connector parts, including engine harnesses, fuel tanks, and genset harnesses, with tailored clustering algorithms.
Data Scientist, Arla Foods Streamlined ingredient complexity in dairy products by analyzing PLM data and developing a Power BI tool for visual storytelling and category selection.
Data Scientist, AurorAI Automated manual processes and optimized computation for AurorAI, a spend classification tool, developing multiple APIs and Python scripts.
Created a Power BI dashboard with over 30 views, earning client appreciation.
Data Scientist, JCI Developed an interactive cost optimization tool using Power Apps and Python, integrating Power BI for client savings analysis.
Data Science Lead, Direct Materials Led a three-member team to develop a part rationalization tool, deploying backend solutions on GCP and creating an ML pipeline in Vertex AI.
Lead Data Scientist, US Foods Aurora AI Led the development and deployment of the offline setup of Aurora AI for spend categorization, creating a robust Python-based backend.
Data Scientist, Johnson Controls Managed and analyzed big data to build high-impact data models, providing competitive advantage through data-driven insights.
R&D Developer, Supply Chain and Operations Implemented and executed R&D projects within Accenture, applying technical expertise to deliver high-quality solutions and serving as a technology guru within the domain.
Jr. Data Scientist
Tatrasdata
07.2017 - 07.2019
Octopi Jul 10, 2017 - Jan 1, 2018
Role: Data Science Practitioner
Description: It was a product of the company in which we were involved in Digital Campaign. we were trying to optimize the cost and the visibility of the campaign.
Asiaville Jan 1, 2018 - Jul 30, 2018
Role: Data Science Practitioner
Description: It was a client project in which we were building a news recommender system.
Black-Rabbit
Aug 8, 2018 - Jul 24, 2019
Role: Data Science Practitioner
Description: It was a product of the company in which we were involved with the crypto market price predictions. we were trying to predict the prices using different Machine learning and Deep learning algorithms such as Random Forest, Gradient Boosting, LSTM, MLPR, ARIMA etc
Education
B.Tech - Electronics And Electrical Engineering
IITGuwahati, India
Guwahati, India
05.2017
Skills
Language:
Python R C
Software/Tool:
GCP MS Azure AWS SageMaker PowerBI PowerApps GitHub Jupyter Notebook Tensorflow Sklearn Pandas/Numpy Flask Postman MongoDB PostgreSQL MySQL Openai API Dall-e Hugging Face Transformers
Misc:
Tensorflow Langchain openai XGBOOST Sklearn Dall-e Hugging Face Transformers
Courses:
Prompt Engineering with ChatGPT Introduction to GenAI with LLMs GenAI practioner workshop Langchain with LLm Applications Microsoft Azure Fundamentals: Az- 900 GCP Big Data and ML Fundamentals