Data Analyst

GUANRONG FU, CPA

Chicago, Illinois 312-***-****

********.**@*****.*** GitHub Pro ile LinkedIn Pro ile Business-savvy data analyst with solid machine learning skills, statistics background and strong communication skills. Providing data-driven, action-oriented solutions to challenging business problems SKILLS

• Technical Skills & Tools: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit Learn, SciPy), R

(ggplot2, dplyr, reshape), SQL (SQLite, MySQL), NoSQL (MongoDB), Tableau, Git, GitHub, HTML

(Basic), Mac OS, Unix, Anaconda, Jupyter Notebook, RStudio, PowerBI

• Data & Modeling: Data Wrangling/Munging, Data Visualization, Data Analysis, Web Scraping, Managing Structured Data (SQL), Managing unstructured Data (JSON, XML, text), Natural Language Processing (basic), Regression Modeling, Statistical Inference, A/B testing, Supervised Learning

(Decision Trees, Naïve Bayes, Logistic Regression, SVM, Random Forest, Adaboost), Unsupervised Learning (PCA, SVD, Clustering)

• Business: Communication (writing, presentation), Project Management, Business Development PROJECTS

Identify Fraud from Enron Email – (GitHub) August 2017

• Compared the performance of machine learning algorithms and tuned the algorithms to identify potential fraud from imperfect, real-world dataset

• Validated machine learning result using test data and evaluated the results using quantitative metrics

• Achieved more than 80% of accuracy rate, with more than 30% of both precision and recall rate Wrangle OpenStreetMap– (GitHub) July 2017

• Applied data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean 2GB of OpenStreetMap data

• Audited and generated normalized data format for database using Collection and Cerberus modules

• Revealed problems and provided three recommendations for the current map data by using database query (SQLite) through Python

WORK EXPERIENCE

Independent, Data Analyst, Chicago, IL April 2017 –Present

• Completed numerous data science projects and Kaggle competitions from end to end

• Applied data wrangling, statistical modeling, machine learning and data visualization techniques to uncover opportunities, make prediction and “tell the story” KPMG, LLP, Tax Analyst, Chicago, IL October 2015-Present

• Delivered 5 consulting and compliance projects on time by conducting thorough analysis

• Improved the precision and ef iciency of review procedures of inal deliverable packages by 10% by correcting mistakes in the procedure guidance

Hoodle, Inc, Business Analyst Intern, Champaign, IL May 2014-August 2014

• Built and presented the 10-year cash low statement and valuation by building a inancial model, which allowed the management to understand the true costs of the organization’s service offering

• Assisted with raising $250,000 for a zero-revenue startup by re ining revenue and cost analysis EDUCATION

Data Analyst Nanodegree, Udacity October 2017

• Courses: Data Wrangling with SQL, Machine Learning, Data Analysis with Python, Data Analysis with R, Descriptive Statistics, Inferential Statistics, Git and GitHub M.A. in Accountancy, IT Concentration, University of Illinois at Urbana-Champaign May 2015

• GPA: 3.9/4.0; Courses: Database Architecture, Cloud Computing, IT Project Management, E-commerce B.S. in Accountancy & B.S. in Finance, University of Illinois at Urbana-Champaign May 2014

• GPA: 3.8/4.0, Dean’s List; Courses: Advanced Statistics, Advanced Calculus

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