Analytics Student at Duke University the Fuqua School of Business.

KURAYISH KURMANALIEV

adch4s@r.postjobfree.com • 919.257.17.31 • Durham, NC, 27705

EDUCATION

DUKE UNIVERSITY, The Fuqua School of Business

Master of Science in Quantitative Management: Business Analytics, Finance Track Data Science Coursework: Data Science for Business, Decision Analytics & Modeling, Data Visualization Domain Coursework: People Analytics, Digital Marketing, and Fraud Analytics Durham, NC

May 2020

NAZARBAYEV UNIVERSITY

Bachelor of Arts in Economics

Dean’s List 2017. Created Piano Club, co-created Finance club. Elected Basketball Team Captain Selected Coursework: Machine Learning Theory, Contract Theory and Auctions, Econometrics, Financial Markets, Money and Banking.

Nur-Sultan, Kazakhstan

May 2019

EXPERIENCE

SUCCESS K, Sales Department,

Media and strategic communications agency

Sales Manager

• Worked with advanced spreadsheets, observed inefficiencies in internal costs and quantitatively analyzed process of media creation and production processes, recommending new company management strategy to COO and CEO including strategies to decrease variable costs by 5%+.

• Identified, prioritized, engaged, and followed up with prospective clients, generating leads and establishing projects, delivering stable company revenue stream

• Led team of three colleagues to participate in government business tenders to increase company revenue by 10%.

• Conducted primary and secondary industry research, using publicly available information and engaging potential partners to identify new market segments.

• Promoted from Intern to Sales Manager after two months of sales and company training. Nur-Sultan, Kazakhstan

2017 − 2018

SELECTED PROJECTS

CAPSTONE PROJECT FOR DUMAC Inc. (R, SQL, Tableau)

In the process of doing project for DUMAC Inc. DUMAC manages Duke University’s endowment fund, currently valued at approximately 8 billion dollars. Project focuses on ESG to downside risk of funds, which includes using SQL to clean and merge big data, applying time-series analysis and Fama-French models. Expected completion date: 24th April. ANALYZING CONSUMER OPINION OF WEWORK (R)

Used R and Twitter developer account to conduct sentiment analysis, exploring public opinion of WeWork. Analyzed various opinions and compared those to the news release dates. Concluded that sentiment analysis on its own is not effective, as most of the reposted tweets were pictures which were marked as neutral but had sentiment in it. Suggested potential ways to improve analysis.

PREDICTING CONSUMER CREDIT CARD DEFAULT IN TAIWAN (R) Used statistical models including k-means, logistic regression, linear regression and classification trees, identifying characteristics of consumers who are likely to default.

DETERMINING FACTORS DRIVING EQUITY AND GOLD PRICES (BLOOMBERG, PYTHON) Motivated team of five on financial project focused on time-series analysis to determine Granger causality of Gold prices on equity return. Used Bloomberg Platform to extract financial data in necessary format, used Python to analyze causal movements of Gold and Equities by using Phase Slope index and visualized PSI plots as a heatmap Concluded lack of causality, except for months before major financial downfalls.

TECHNICAL CAPABILITIES

SQL, Advanced Excel, Python, R, C, Tableau, Bloomberg platform, Stata Hypothesis testing, A/B testing, Monte-Carlo simulation, linear and logistic regression, k-means, clustering, time-series analysis, ADDITIONAL INFORMATION

Fluent in English, native Russian and Kazakh; intermediate Chinese and Turkish. Enjoy teamwork and participating in team events. Play Piano and Guitar, enjoy listening to classical music, Chopin in particular Team Leader on Paris Peace Forum (November 2018) and 2nd place on YICGG competition in Shanghai (July 2018)

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