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Young Sim

New York NY, US

Phone: xxx-xxx-xxxx

Email: xxx@xxxx.xxx



  • Looking For: Data Scientist, Data Analyst

  • Occupation: IT and Math

  • Degree: Master's Degree

  • Career Level: Entry Level

  • Languages: English, Korean

Career Information:

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Highlights:

Skills:Data Science, Data Analysis, Data Visualization, Machine Learning, Natural Language Processing, Python, R, SQL, C/C++, VBA, Tableau, Excel

Goal:My passion is using data to solve challenging real-world problems and create values. I am a team worker and a rigorous learner with strong analytical skills and problem-solving mindset. See Github/Linkedin for full portfolio/profile: github.com/jiyoungsim;

Honor:Toyota Motor Corporation Fund Scholarship (2017-2019): Awarded to students in technical fields; Skidmore College Economics Departmental Honors; Skidmore College Weiss Memorial Award in Economics: selected as one of the two winners of the award in the Economics Department; Best Paper Award, Finance Division, The 12th Annual Ted Winnowski Student Conference in Business; Student Award, Mathematical Association of America (MAA); GE STAR Awards Scholarship ($3,500); Memberships: Phi Beta Kappa, Pi Mu Epsilon (Mathematics), Omicron Delta Epsilon (Economics), Association for Women in Mathematics (Honorary Membership)


Experiences:

Research Assistant 07/2019 - 11/2019
Yonsei University Data Intelligence Lab, Seoul, South Korea
Industry: Research
- Built state-of-the-art neural network model based on BERT model in Python to predict keyword-document pair relevance as a part of research on Question-Answering task.
- Built, trained and evaluated models in order to improve baseline BERT solution by combining it with other neural network models such as DRMM and KNRM. Achieved 60% f1 score using eBay keyword-document text data released by SIGIR.--
Data Scientist (Collaborator) 09/2019 - 12/2019
IBM Consumer Complaint Classification Modeling, New York, New York United States
Industry: Consulting
- Collaborated with IBM to conduct Natural Language Processing project using Consumer Complaint Database as class group project. The model contributed to simplification of the complaint submission process for consumer financial products by classifying comments by product category.
- Cleaned and preprocessed text data using nltk package module and pre-trained FastText word vectors. - Built a bidirectional LSTM model in Python and achieved accuracy of 72% and weighted average of f1 of 71%, classifying submission issues into 47 categories. Presented purpose, results, and suggestions for improvement of the project to convey business value of the model.--
Research Assistant 05/2019 - 06/2019
McKinsey & Company, Seoul, South Korea
Industry: Consulting
- Researched evidence from market information and data to support consultants’ ideas in the project.
- Provided analytical support for the project by collecting, cleaning, and synthesizing market information and data.--
Junior Financial Analyst 01/2016 - 05/2016
Patrivalor Asset Management, Madrid, Spain
Industry: Finance
- Designed and implemented programs that sort and filter data using Excel/VBA to update and improve investment database and client database, in order to automate and streamline analytical reporting process.
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Education:

Skidmore College 09/2013 - 05/2017
Saratoga Springs, New York, United States
Degree: Bachelor's Degree
Major:Economics and Mathematics
Alumni Club Scholarship ($35,000/year); Dean’s List Honors (8 semesters); Magna Cum Laude Leadership: Student Ambassador, Admissions Office; Co-founder and Mentor, Mentoring Project: The Dream Class; Peer tutor, Student Academic Services; PR Historian, Asian Cultural Awareness (ACA)


Columbia University 09/2017 - 02/2020
New York, New York, United States
Degree: Master's Degree
Major:Mathematics
Minor:Mathematics of Finance
Graduate School of Arts and Science (GSAS)

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Young Sim Resume Data Scientist



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