Data Scientist candidate in Bengaluru, Karnataka, India

Summary

Data Scientist accomplished in compiling, transforming and analyzing complex data. Advanced understanding of statistics, data science, machine learning and other analytical techniques. Demonstrated success in identifying relationships and building solutions to business problems.
Experience:
Data Scientist, Lowes India
August 2022 Present
Working as a Data Scientist in the Pricing, Promotions and Competitive Intelligence Scrum Team at Lowe's, a Fortune 50 Home Improvement Company with a revenue of over 90 billion dollars.
* Created Automatcher, an AI product utilizing Natural Language Processing (NLP) and Neural Networks. The model enables Lowe's to match thousands of products at scale based on web scrapes.
* Partnered cross-functionally with Engineering and DS Platform teams to develop end-to-end production level pipelines that ensure smooth deployment of the Automatcher model. The model keeps retraining based on end-user feedback, currently resulting in an accuracy rate of over 90%
* Cleaned, transformed, and analyzed large crawling datasets (~2M products) to uncover hidden trends and patterns for optimizing our crawling efforts.
* Conducted GenAI and BabyAGI hands-on workshop for over 50 associates in Lowe's. Also conducted a Statistics skill-up crash course for Data Analysts and Data Engineers in the team.

Data Science Intern, Uber India Research and Development
February 2022 June 2022
* Pinpointed meaningful insights from large user-onboarding click data and metadata sources.
* Optimized 8 onboarding screens based on the actions and taps of users, to help deliver a more satisfactory experience.
* Presented findings and recommendations to senior leadership, influencing strategic changes in the onboarding process of Uber.

Data Science Intern, ACC Limited
July 2021 August 2021
* Applied statistical methods for robust analysis of complex data obtained from cement mills and kilns.
* Implemented and enhanced machine learning algorithms for improved prediction of ash percentage in cement by-product based on various operational and quality parameters. The final predictions had a deviation of ±0.13 from the actual values.

Achievements:
* Secured All India Rank (AIR) 5 in ISI admission merit list-2020.
* Co-authored and presented the paper titled "Product Matching for Enhance Competitive Intelligence" at Analytics Society of India.
* Published a technical report on Four Index Transportation Problem: A Multiobjective Modelling Approach by SQC & OR Unit, Indian Statistical Institute, Kolkata.

Expectations

In my new role as a remote data scientist, I expect to collaborate closely with a dynamic team, leveraging my skills in data analysis, machine learning, and problem-solving to drive actionable insights and innovative solutions. I anticipate opportunities to work on challenging projects, where I can apply advanced statistical techniques and utilize cutting-edge tools to extract meaningful patterns from complex datasets. Additionally, I look forward to contributing to a supportive and inclusive work culture that values continuous learning and professional growth, while also providing flexibility to maintain a healthy work-life balance.