Narendra Badam

About Narendra Badam

Data Scientist |MS in Data Science | Actively seeking Full Time roles in Data Science/ Machine Learning starting Feb\'20.A Data enthusiast who loves to harness the power of data with the help of statistical and quantitative data analysis and gain meaningful insights to make key business decisions.My areas of interests are:Machine Learning, Quantitative Analysis, Data Mining, Text Mining, Machine Learning, Big Data Analytics,Business Analytics, Regression Modeling, Predictive Modeling, Analytical Decision making,Social Media Analytics, Digital Transformation,Management Consulting,Project Management, Big Data Management and Strategy, Business Process and Workflow Analysis.I thrive in organizations with open work culture and where I get to do challenging tasks so as to continuously improve my skill set.What I avoid: Monotony at work! I enjoy exploring different skill sets and I want to keep learning forever.

Experience

1. Data Scientist

   Walmart Global Tech

   Nov 2022 — Present · US

   Working at the intersection of fashion design and AI/ML using state-of-the-art techniques to create personalized, impactful experiences for modern audiences.Currently part of an innovative team spearheading efforts to transform the future of garment design through the application of Generative AI. Played key role in the launch of MVP1 to automate garment design process using LLMs that is currently being used by various designers at Walmart forspecific brands Resolved hallucination issue in the garment designs by 98.72% and noise by 97.92% across various garment types and categories receiving leadershipappreciation Played a key role in the introduction, cleaning, topic modeling and deployment of social media data for generating fashion trends necessary to powerlatest garment designs. Developed an ensemble NLP model leveraging Hugging Face Transformers to stack rank keywords from multiple recommendation models, improvingkeyword suggestions for sellers. Designed and implemented a dashboard to visualize Walmart\'s performance metrics, aiding various internal stakeholders in decision-making. Built an ML model to analyze and generate actionable insights from Walmart\'s sales rank algorithm, benefiting 100k+ online sellers through optimizedproduct recommendations, in collaboration with cross-functional teams across multiple time zones. Conducted initial POC analysis, resolved minority class issue for customer review classification using LLMs and BERT embeddings and devised a strategyfor incorporating GPT-3.5 and GPT-4, contributing to a long-term product roadmap with potential patent opportunities.