Goldi Tewari
Data Scientist @耐克
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WORK HISTORY
Data Scientist @耐克
Beaverton, OR, US
Coordinate with stakeholders conduct various ad-hoc retail analytics tasks on Product Merchandise & Marketing topics. • Proficient in both frontend and backend Tableau operations on Product intent & Brand health. • Create metrics and simulators based on conjoint analysis for assessing the performance of competitors. • Facilitate Mixed Multinomial Mixed-effects Models (utilizing Bayesian statistical methods) to ensure operational excellence. Identify and address issues in data collection and cleansing procedures to enhance efficiency. • Enhance the Mixed Method Analysis model by streamlining production processes, automating tasks, and reducing runtime, particularly for monthly outcomes. • Develop data quality standards and streamline processes. • Enhance forecasting procedures by utilizing supervised predictive modeling techniques & review code for quality assurance. • Gather requirements from Global & Geo partners for developing strategic marketing decisions.
EDUCATION
G. B. Pant University Of Agriculture & Technology
Bachelor's Degree, Agriculture, Agriculture Operations, and Related Sciences
University of Agricultural Sciences, Bangalore
Master's Degree, Agricultural Extension, 9.2/10
University of Louisville
Professional Master of Science, Business Analytics, 3.96/4
Ghent University
Doctor of Philosophy (Ph.D.), Communication Science
ABOUT GOLDI TEWARI
I am a full-stack data scientist with an MS in Analytics & a PhD in Corporate Communication. As demonstrated by my success in a wide variety of companies (Tech. startup, Healthcare & Retail in two Fortune 100 companies), I would call myself a data generalist. I bring my interdisciplinary expertise in solving business problem. I always ensures that right business questions are asked & solutions are sustainable, cost & labor efficient. I am proficient in programming (Python, SQL, R, SPSS), statistical modeling & data visualization (Power BI, Tableau). SKILLS: SQL, Python, R, Power BI, Amazon Quicksight, XGBoost, Data mining, Statistical modelling, SAS and SPSS, Natural Language Processing, Deep Learning, Cloud based technologies, logistic regression, linear regression, Cluster Analysis, clustering, segmentation, classification, econometrics, time series analysis, survival and panel analysis, feature engineering, A/B Testing, marketing analytics, predictive and prescriptive analytics, quantitative and qualitative research, marketing research, training management, Research, Publication
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