Amlan Jyoti Das — AI Researcher
10 Years of work experience that includes understanding Business problems and devise (design, develop, building prototype and deploy) statistical and machine learning intensive scalable solutions. Had instrumental role in building several AI driven solutions for Localized Assortment Selection, Financial and Replenishment Forecasting, Generalized Clustering, Cold start problems, Demand Transference, Product Substitution and Automated Item Linkage. Current work utilizes computer vision and NLP to form SOTA hybrid recommender systems for Site Taxonomy, Automated shelf curation and Content Recommendation in Walmart.com. Developed a proprietary impact estimation algorithm that leverages synthetic control selection and Bayesian Structural Time Series in lieu of AB Testing. Over the past 7 years filed 12 US patents and and have multiple other publications. Has active role in recruiting and mentoring the best data science talent for Walmart.
Stackforce AI infers this person is a Data Science expert in E-commerce with a focus on AI-driven solutions.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 6 mos
Skills
- Machine Learning
- Natural Language Processing (nlp)
- Statistical Modeling
Career Highlights
- 10 years of experience in data science and machine learning.
- Filed 12 US patents and multiple publications.
- Expert in developing AI-driven solutions for retail.
Work Experience
Walmart Global Tech India
Principal Data Scientist (8 mos)
Staff Data Scientist (3 yrs 2 mos)
Senior Data Scientist (2 yrs 9 mos)
Walmart Labs
Data Scientist (1 yr 9 mos)
Statistical Analyst (2 yrs 3 mos)
Education
Master of Statistics (M. STAT) at Indian Statistical Institute, Kolkata
Bachelor’s Degree at St. Xavier's College (Autonomous), Kolkata
Higher Secondary Education at Hindu School, Kolkata