Deepansh Parab
Machine Learning| Data Analytics | Text Mining | SQL
- Role
- Data Scientist at Bed Bath & Beyond
- Location
- Mumbai, IN
- LinkedIn followers
- 500 followers
About Deepansh Parab
3+ years experienced data science professional with the ability to mine business insights from large structured and unstructured datasets with an objective to increase efficiency, accuracy and utility of internal data processes. Proven ability to combine vision, creativity and business acumen with well-developed communication skills to drive data driven decision making Core competencies : o Machine Learning o Data & Quantitative Analysis o Predictive Modeling o Big Data Queries o Business Intelligence o Decision Analytics o Natural Language Processing o KPI Dashboard
Experience
Data Scientist
Jun 2018 — Present · Union, NJ, US
SKU Grouping & Web Product Noding (Python, Google BigQuery) • Implemented DBSCAN clustering algorithm to group similar SKU(Stock Keeping Units) into web-products and further mapped those web-products to their designated web navigation path by developing a multi-class classification model • Facilitated the digital merchandising team by reducing 240 man hours per month, saving the company 375K USD annually Customer Segmentation (SAS, Python, SQL) • Furnished the companies CTS(Christmas Tree Shop) initiative in customer targeting and loyalty marketing by developing a k-means clustering model on transactional, demographic, historic coupon data • Reduced the Cost Per Acquisition(CPA) by 19% by strategically targeting individual Personas Store Sentiment Analysis (Python, Selenium, Tableau) • Adduced the voice of the customer by extracting, analyzing and summarizing the customer reviews posted on multiple platforms like google, twitter, yelp using Natural Language Processing(NLP) techniques like Sentiment Analysis, Text Summarization, Topic Segmentation, Information Extraction and • Generated Tactical & Executive Tableau dashboards for store managers and key stake holders, providing them insights on the strategic drivers that got the customers in store vs the store\'s major shortcoming aiding better customer service Dynamic Pricing (SAS, SQL, Python) • Automated existing Dynamic Pricing Modules by developing optimized SAS Macros, reducing overall execution time by 20% • Developed a proof of concept(POC) to replace existing rule-based DP approach with an hybrid approach (ML + Rule), providing more competitive price matches with an estimated 8% lift in sales
Education
Stevens Institute of Technology
Master's degree, Computer Science
2016 — 2018
University of Mumbai
Bachelor's degree, Information Technology
2012 — 2016
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