Walmart Global Tech
Member since 2 years
Debanjana is a Data Scientist at Walmart Global Tech, Value Realization and Research Platforms. At Walmart, she has been instrumental in building numerous high-functioning bots in the compliance space dealing heavily in Natural Language Processing, Optimization, Mixture Models and Rare Time Series. Currently, her focus is on gauging Campaign Effectiveness at Walmart.com where along with her teammates she is identifying how investment on content can be optimized through extensive AB testing and personalization.
During her 3 years of experience, Debanjana has filed 5 US patents in the field of Clustering & Outlier Detection, Imbalance Text Classification, Travel Optimization and Stochastic Processes. In addition, she has three published papers to her credit. She presented her paper REDCLAN (Relative Density Based Clustering and Anomaly Detection) in ADCOM’18, CRESST was included at ICMLA'19 and iCASSTLE (Imbalanced Classification Algorithm for Semi Supervised Text Learning) was presented at ICMLA'18 (Orlando, FL), which was later published by IEEE.
Debanjana has a master's degree in Statistics from Indian Institute of Technology (Kanpur).