Machine Learning Data Scientist

Phat Minh Dang

*** ****** **, *******, ** *****

703-***-**** ****************@*****.*** h#ps://phatdang1.github.io WORK HISTORY

DATA SCIENTIST - FEMA 10/2022 to Current

• Work in the development, deployment, and improvement of sta=s=cal and machine learning models, with a focus on formula=ng models, collec=ng data, wrangling data, exploring data, FiBng models to data, tes=ng models against data, deploying models, and maintaining/improving models.

• Assist FEMA responders and FEMA leadership in their decision making. APPRENTENSHIP DATA SCIENTIST - APZIVA 05/2022 to 10/2022

• Honing data science skills by working closely with industry expert mentors.

• Building robust machine learning models with high accuracy and precision ( see Data Science Projects below) PATENT EXAMINER - USPTO, Alexandria, Virginia 06/2021 to 05/2022

• Review U.S. and foreign Ar=ficial Intelligent patent applica=ons to ensure compliance with federal regula=ons and laws.

• DraPed legal analysis reports for applicants during various stages of the patent applica=on process. FULL STACK INTERN - Nexus 8 InternaLonal - Washington DC, VA 08/2020 to 06/2021

• Developed a knowledge-sharing plaRorm for physicians to collaborate (Hippra.com) using ASP.NET Core, Azure, C#, HTML, JavaScript, Bootstrap, and Angular.

• Gained systems engineering experience by leading architecture design, working in both front-end and back-end environments, reviewing, and execu=ng the features.

• Honored and rewarded by the CEO for my innova=on and extra effort on the projects. COMPUTER SCIENCE INTERN - AICR - Arlington, Virginia 05/2019 to 09/2019

• Build machine learning models such as Random Forest Classifier, Neural network, and XGBoost with 97% accuracy in predic=ng the likelihood of dona=on made to support cancer research.

• Cleaned and Prepared data for training the machine learning models.

• Saved AICR more than 70% of money usually spent on dona=on request le#ers. EDUCATION

George Mason University - Fairfax, VA Bachelor of Science Computer Science, Computa=onal And Data Science, 12/2020

• Dean's List Honoree • Honor Roll

CERTIFICATION

• DeepLearning.AI – Sandford Online

- Machine Learning

- Unsupervised Learning, Recommenders, Reinforcement Learning

- Supervised Machine Learning: Regression and Classifica=on

- Advanced Learning Algorithms

• Google

- Advanced Google Analy=cs

DATA SCIENCE PROJECTS

Happy Customer (Industry project)

- predicted customer's happiness based on reviews and feedback (delivered 8me, order, product, price, courier, and ordering process sa8sfac8on)

- Evaluated data across classifica8on models, reaching an average of 98% accuracy, precision, and F1score Term Deposit MarkeLng (Industry project)

- predicted customer subscrip8on to a term deposit from direct marke8ng efforts of a European banking ins8tu8on scoring an accuracy of 98%.

- Cleaned and Prepared data for classifica8on models LinkedIn Scraper (Industry project)

- Scraping and predic8ng ethnicity, and gender based on profiles, pictures, and names. Calcula8ng the diversity score of a company based on employees’ genders, job 8tles, and ethnici8es. PotenLal Talent (Industry project)

- Shortlisted candidates using Natural Language Processing(NLP) to compare the similarity between the candidates’ job 8tles, resumes and recruiter’s job descrip8on and job 8tle.

- Recommending top 25% candidates to recruiters based on probability scores of matching. MonReader (Industry project)

- Build and train a deep convolu8onal neural network for predic8ng if a page is being flipped or not. Reaching more than 98% accuracy.

Value Investor (Industry project)

- Pulling stock data from Yahoo Finance Stock Market Live from a range of 8mes to train the Long Short Term Memory (LSTM) Recurrent Neural Network(RNN)

- Predict future stock prices with highly accurate result. SKILLS

• Programming: Java, JavaScript, R, Python, C#,

.NET, C

• Full-Stack: OOP, HTML, CSS, Bootstrap, Angular JS, Linux, SpringBoot, Junit, PowerBI, Services, Docker, Gradle, Selenium, Beau=ful Soup, Azure, AWS,

Snowflake, Git, Bitbucket, GitLab, Databricks

• Databases: SQL, MongoDB, MySQL, MSSQL Server

• SoP Skills: communica=on, high achiever,

teamwork, ac=ve listening, =me management,

analy=cal, cri=cal thinking, fast learner, flexibility, team building, goal seBng, risk-taking, crea=ve

thinking, problem-solving, curiosity,

troubleshoo=ng, rela=onship management

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