DINGHUA (AMOS) XIAO 206-***-****

ad3awc@r.postjobfree.com

Education

CARNEGIE MELLON UNIVERSITY, HEINZ COLLEGE Pittsburgh, PA Master of Information Systems Management - Business Intelligence and Data Analytics August 2023 - December 2024 Cumulative GPA: 3.6/4.0 August 2023 - Present

Coursework: Introduction to databases, Data Focused Python, Object-Oriented Programming in Java, Database Management, Organizational Design and Implementation, Statistics for IT Managers, Economic Analysis, Machine Learning for Problem Solving, Distributed Systems for Information Systems Management, Professional Speaking, Accounting and Finance Analytics, Writing for Information Systems Management, Big Data and Large-Scale Computing, Data Structures & Algorithms, Unstructured Data Analytics, Applied Econometrics, Decision Making Under Uncertainty, Intro to Artificial Intelligence, Making Products Count: Data Science for Product Managers, Advanced Business Analytics, Digital Transformation, Data Analytics Capstone Project UNIVERSITY OF WASHINGTON Seattle, WA

Bachelor of Science, Mathematics & Economics September 2019 - June 2023 Department GPA: 3.46/4.0 Cumulative GPA: 3.34/4.0

Coursework: Calculus, Linear Algebra, Multivariable Calculus, Differential Equations, Matrix Algebra, Abstract Algebra, Mathematical Reasoning, Real Analysis, Linear Optimization, Numerical Analysis, Modern Algebra, Combinatorial Theory, Probability, Statistics, Statistical Software Application (R, Python, SQL), MATLAB Scientific Computing, Java Programming, Advanced Microeconomics, Advanced Macroeconomics, Econometrics and Modeling, Labor Market Analysis, Population and Development, Game Theory, Computational Finance and Financial Econometrics

Professional Experience

Energy Innovation Capital (EIC) New York, USA Oct 2022 - Dec2022 Investment Industry Researcher & Data Analyst (Curricular Practical Training)

Conduct in-depth research into the assigned segment to identify drivers, macro trends impacting the segment, challenges, risks, and emerging companies.

Identify promising players, including public companies, private companies, and startups that are developing innovations and dominating the market share.

Develop insights into emerging markets in the energy sector, create and deliver compelling presentations showcasing such insights; organize, analyze, and visualize data using tools including Excel, Tableau, and SQL. Aegea Capital Management LLC Chicago, USA Jun 2021 - Sep 2021 Quantitative Analyst Intern (Part-Time)

Conducted research for quantitative trading strategies, the pricing of derivatives, and portfolio optimization using analytical tools including Python, MATLAB, SQL, and SAS.

Studied option volatility smile, skew, and kurtosis and performed analysis to develop trading strategies.

Developed the trading execution system and monitored performance for risk measurement. Projects & Coursework

An AI-Powered Trip Destination Recommendation App, Python project Aug 2023 - Dec 2023

Developed 'TripGPT', a Python-based travel recommendation system that uses data from various sources, including web scraping and API calls, to provide pesonalized recommendations based on safety, budget, and personal preferences.

Utilized Pandas and BeautifulSoup for data cleaning and analysis, designed interactive user interfaces for personalized destination recommendations, enhancing user engagement and decision-making in travel planning. Econ 424 Computational Finance and Financial Econometrics, Individual Assignment Mar 2023 - Jun 2023

Built a portfolio using five ETFs from US stock and bond markets for 2018-2023, applying the Constant Expected Return Model to calculate mean return, standard deviation, and generated an efficient frontier and capital allocation line; Developed a array of portfolio strategies and analyzed risk-return trade-offs, focusing on high Sharpe ratio and optimal portfolio ratio. Econ 448 Population and Development, Team Leader Mar 2022 - Jun 2022

Executed influence of various factors (family plan, age, education level, income, etc.) on fertility in India, cleaned and assessed India's microeconomic data with R from Integrated Public leverage Microdata Series performance monitoring for action (IPUMS PMA), performed regression, verified economic hypotheses against empirical models, and concluded with different levels of impact from factors on object variable.

Econ 483 Econometric Applications, Individual Assignment Jan 2022 - Mar 2022

To investigate influence of smartphone configuration on market satisfaction, obtained smart phone price from Kaggle, executed hypothesis testing and regression with Stata, analyzed six complete regression models of progressively eliminating variables to verify how configuration settings different levels of impact on object variable. Skills

Software: Java, Python, SQL, R, Stata, MATLAB, SAS, LaTeX, MS Office Languages: Mandarin (Native speaker), English (Proficient) Interests: Piano (Level 6 certified by China Musicians Association), Texas Hold'em, Cuisine Art, Soccer, Adventure Travel