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@dhritimannandi
Data-driven decision scientist with expertise in machine learning and analytics.
I am a data-driven decision scientist with a strong background in machine learning, remote sensing, and cloud-based analytics. My expertise lies in developing innovative solutions for complex business challenges, utilizing deep learning, statistical modeling, and automation to optimize processes and enhance decision-making. I have a proven track record of building scalable data pipelines and integrating economic and socio-political risk models to streamline operations through AI-driven insights.
Throughout my career, I have pioneered the creation of remote sensing data-based economic activity ranking systems and developed large language models to provide timely insights for economists. My experience includes leading initiatives to enhance data accessibility and automation, resulting in significant efficiency improvements. I am passionate about leveraging technology to address evolving market needs and drive impactful results.
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Work history, roles, and key accomplishments
Dun and Bradstreet
Feb 2023 - Present (2 years 9 months)
Pioneered the creation of a remote sensing data-based economic activity ranking system for districts using satellite images. Developed and fine-tuned large language models for generating alerts and notifications on relevant news articles, providing economists with timely insights for informed decision-making.
RPG Enterprises
Nov 2021 - Present (4 years)
Developed machine learning-based models for shoot development and pest prediction and detection, utilizing weather and Remote Sensing data. Achieved an estimated improvement in yield by an impressive 30% using a model-centric approach.
General Mills
Sep 2019 - Present (6 years 2 months)
Developed an LSTM model to replace existing forecasting approaches, improving MAPE from 70% to 92%. Researched feasibility of Q-learning and SARSA as replacements for 5R-based approaches in supply chain optimization.
Circle of Life Healthcare
Jan 2019 - Present (6 years 10 months)
Developed a flagship product using clinical data that recommends proper antibiotics for patients based on symptoms and attributes in real time. Managed a team of 5 data scientists and resource allocation, leading the patenting process of the product.
ABInBev
Jan 2018 - Present (7 years 10 months)
Implemented a variable coefficient model for empirical demand estimation at the brand level for markets where only aggregated sales data was available. This helped in calculating the demand elasticities and price elasticities across segments and competitions.
IL&FS Education and Technology Services
May 2017 - Present (8 years 6 months)
Conducted statistical inference analysis on investment impact at the pincode level. This involved analyzing data to understand the effects of investments.
CGI
May 2013 - Present (12 years 6 months)
Participated in the development of a fraud detection model for handling large volumes of fraudulent transactions. Monitored different components of the application and database to handle B2B card payment systems.
Cognizant
Dec 2008 - Present (16 years 11 months)
Managed data migration projects for clients like GSK and JPMC, reducing completion time by 80%. Resolved special character issues in clinical data migration.
Degrees, certifications, and relevant coursework
M.Tech (QROR), Quality, Reliability, and Operations Research
Pursued a Master of Technology degree in Quality, Reliability, and Operations Research. Focused on advanced statistical methods and operational excellence.
BE (Electrical Engg.), Electrical Engineering
Completed a Bachelor of Engineering in Electrical Engineering. Gained foundational knowledge in electrical systems and engineering principles.
Software and tools used professionally
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