TINH CAO

+32-049*-****** adyd1k@r.postjobfree.com Leuven, Flemish Brabant github.com/paperchewer OBJECTIVE

A graduate in Statistics and Data Science with a deep understanding of statistical and AI models, and coding skills. I am passionate about working with data, including data analysis, data management, and data processing. Five-year extensive experience as a data analyst in corporate finance for an investment firm and two years experience as a researcher in Economics, working with time series data. Being trained with different backgrounds (i.e.in Statistics and Economics), I have obtained an open-minded and flexible mindset and acquired technical and interpersonal skills.

PROJECTS

Master Thesis Project in Data Science (Nov 2021 - May 2022) The thesis investigated a novel method to build a hybrid machine-learning model based on wavelet transforms as a pre-processing technique for time series analysis. After a thorough literature review, I succeeded in finding some popular misconceptions in the application of wavelet transforms for time series; and devised a new methodology to solve the problems. I implemented the work via Python programming language using Keras and TensorFlow. My work has been highly regarded by the committee. It shows my sharp critical thinking, problem-solving, and flexible capacities. (Link)

Coursework Projects- Data Analytic (Mar 2020 - Apr 2020) One project was to predict laptop prices based on their characteristics. There were several steps in the pipelines, including data cleaning and wrangling (e.g. checking outliers and missing values), division of test set and training set,feature engineering and feature selection, model training and model selection, and prediction. In the second project, I built a pipeline for a streaming data set, predicting whether a modification on Wikipedia is safe, unsafe, or vandal; PySpark was the main package used for the streaming data analytic tasks. Coursework Projects- Web-scraping and Text Analysis (Mar 2018 - May 2019) I web-scraped articles in academic journals, using the request-html package, and implemented some text analysis tasks including: finding the most frequent words, classifying topics of the journals using a Naive-Bayes model, or doing sentiment analysis with Afinn or vaderSentiment package. (Link) Pre-doctoral Project (Oct 2018 - May 2019)

I generated a new stochastic frontier model,namely the pairwise difference model introduced by Belotti and Ilardi

(2018), to measure the technical efficiency and its determinants from a longitudinal data set of 870 Indian households from 2007 to 2015. My work was the first study in the empirical literature to provide an accurate measurement of technical efficiency for panel data by removing the farm-fixed effects. My independence and pro-active approach in finding solutions during my research project show my ”thinking outside of the box” attitude to find the best solutions to any problems encountered. The experience also sharpened my skills in data analysis, data collection, data processing, writing, and presentation skills. (Link) EXPERIENCE

Bio-Statistician, summer job Jul 2022 - Aug 2022

Quantoom Biosciences Nivelles, Wallonia

• Fitted a model which regresses measured absorbance magnitudes on the pre-designed concentration levels on the data of a reference protein type; inferred the unobserved concentration variable based on the measured absorbance values for a similar protein type; Built an app on the R Shiny package to automate the estimation process from the raw data. The app includes the data pre-processing, regression model, and visualization of data analysis and estimation.

• Contribution: I devised a new statistical model which was simpler but improved the estimation performance remarkably; contributed extensively to the automation process to reduce repetitive jobs of technicians. Data Analyst in Corporate Finance Jun 2010 - Feb 2015 FPTS Securities jsc. Hanoi, Vietnam

• Processed, visualized, analyzed the financial data; predicted the company’s future income and costs, and updated the evaluation model in Excel.

• Did research about the companies and sectors.

• Communicated with the company’s management team to ask for expert’s opinions about the sector and data related information.

• Provided investment reports which suggested buying or selling stocks with the clarity and objectiveness of the information obtained from my research analysis.

TECHNICAL SKILLS AND LANGUAGES

Thorough R, Python, Matlab, LATEX, SAS, SQL

Good Stata, Pyspark

Basic Java, C, PowerBI

Languages Vietnamese (native), English (advanced)

EDUCATION

Master of Statistics and Data Science, KU Leuven University, Magna Cum Laude 2019 - 2022 Relevant Coursework: Big Data Analytic, Machine learning and Inductive Inferences, Neural Networks, Statistical Software, Statistical Modellings, ANNOVA, Regression Analysis, Generalized Linear Models, Multivariate statistics, Bayesian Statistics, Statistical Inference and Data Analysis. Pre-doctoral In Economics, KU Leuven University, Magna Cum Laude 2017 - 2019 Relevant Coursework: Econometrics, Applied Econometrics, and Dynamic Methods. Master in Economics and Development, Universit e catholique de Louvain, Cum Laude 2015 - 2016 Bachelor of Business Economics, Foreign Trade University, Magna Cum Laude 2005 - 2009 EXTRA COURSES ONLINE

Google Data Analytic Certificate, Course 3 and 4 Ongoing Google Data Analytic, Course 1, CredentialID YWCY7BXZ38ZE 2023 SAS Programmer Certificate, Level 1 2019

Charter Financial Analyst, CFA, Level 1 2011

EXTRA-CURRICULAR ACTIVITIES

• Walk in nature in groups; do martial arts (e.g. Jujitsu); yoga and meditation.

• Piano and drawing; Read books (e.g. literature, science fictions, and biographies); writing.

• Regular friend gatherings

STRENGTHS

• Inquisitiveness, curiosity, and responsibility are my self-defining words. I like learning new things, always find something new in my daily jobs, and learn to love what I am doing. Curiosity drives me to love working with different people, be genuinely open to any communication or interpersonal differences, go deeper into problems, and be keen on working with a diversity of people and learn from them.

• I always visualize mental timeline plans and objectives in advance. I am determined to finish tasks on time while being flexible enough to adjust goals when necessary.

• I am a dynamic critical thinker. This strength enables me to be a quick learner in all facets of life, especially in structuring a programming language, designing the code, and in working well with numbers and data. REFERENCES

Supervisor: Prof.Dr.Ir. Daan Huybrechs, Department of Computer Science KU Leuven. Email: adyd1k@r.postjobfree.com, Tel: +32 16 327058 Teacher: Prof.Dr. Gerda Claeskens, OR & Statistics, KU Leuven. Email: adyd1k@r.postjobfree.com, Tel: +32 16326993 Teacher: Prof.Dr. Thomas Neyens, L-BioStat, KU Leuven. Email: adyd1k@r.postjobfree.com, Tel: +32 11 26 8268

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