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Product Manager, Data Scientist

Location:
Manhattan, NY, 10007
Posted:
February 21, 2023

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Resume:

Woon Kim

https://www.linkedin.com/in/woonsup-kim

https://github.com/woonsupkim

advhi3@r.postjobfree.com

New York, NY

+1-646-***-****

WORK EXPERIENCE

Campana Schott Inc, Data Scientist May – Aug 2022

• Improved a medication's go-to-market strategy, resulting in a 15% marketing cost reduction using NLP models to identify critical opportunities and actionable insights from WebMD patient reviews data.

• Proposed a machine learning method to quantify a company's ESG impact by estimating the total reduction of caregiver burden due to the company's treatment.

• Applied thorough technical and domain knowledge to feature engineer a dataset with over 300 features, conduct exploratory data analysis, and present complex technical findings using data visualization techniques. Molex, Product Manager – Software Solutions May – Aug 2021

• Oversaw the IoT software platform and onboarded five new customers to help reduce their engineering costs by 40%, maintenance costs by 30%, and carbon footprint by 25%.

• Followed agile principles to draft epics, user stories, specifications, and acceptance criteria to describe customers' requirements and collaborated with developers using JIRA and Confluence in delivering practical software solutions. Schneider Electric, Product Manager Oct 2016 – Mar 2020

• Oversaw all industrial control, signaling, and monitoring devices in Canada, generating an average of $16M each year.

• Owned the offer's go-to-market strategies from design to manufacturing and collaborated with the sales team to secure purchase orders, contributing to the firm's customer acquisition by 12% year-over-year.

• Pioneered an eCommerce strategy by partnering with key online distributors such as Allied Electronics to increase sales.

• Other duties include managing product forecasts, conducting competitive analysis, creating product line roadmaps, managing product obsolescence, authoring product documents, conducting sales training, and managing customer interactions.

EDUCATION

Columbia University

Master of Science, Applied Analytics

New York, NY

Dec 2022

Student Positions:

Graduate Teaching Assistant – Data Science in Finance and Insurance President – Columbia Data for Social Good

Relevant Projects:

Semantic Analysis of Stock Market News using Python (web scraping, sentiment analysis, data visualization) Produced an analytical report of headlines and critical topics of the financial news to assist in making trading decisions. Collected stock market news from Yahoo Finance by developing a BeautifulSoup web crawler and conducted semantic analyses using advanced NLP models such as n-grams, DistilBERT, and LongT5. Further development includes identifying the relationship between the headlines and the stock prices. NLP Model for Online Customer Reviews using Python (zero-shot classification, sentiment analysis) Improved product offerings of a national retailer’s highest performing brands by helping them understand customers’ feedback through analyzing customer reviews data. Used NLP models such as BART and RoBERTa to analyze the semantics of the reviews and identified actionable insights to generate new product ideas, monitor compliance, and improve their website.

Predicting House Sales Prices using Python (scikit-learn, pandas, numpy, seaborn) Conducted feature analysis on 79 explanatory variables and used various supervised learning models to predict the final price of a home. The 10-fold cross-validation method was used to identify the best predictive model, which includes linear models, random forests, and gradient boosting. The best-performing regression model explained 92% of the variation of the response variable, and essential features were identified using an inference analysis. University of Waterloo

Bachelor of Applied Science, Electrical Engineering (Summa Cum Laude) Waterloo, ON

Jun 2015

SKILLS SUMMARY

Python, R, SQL, Tableau, VBA, Excel, Git, JIRA, Confluence, SAP, Salesforce Technical Writing/Presentation, Data Analysis, Data Visualization, Product Launches, eCommerce, Competitive Analysis, QA



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