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Data Science Intern - Python, SQL, R, Machine Learning Models

Location:
Los Angeles, CA
Posted:
November 28, 2020

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Resume:

MENGZHEN (MONA) CHEN

*** ***** **** **, *** Angeles, CA 90014 414-***-**** adh688@r.postjobfree.com linkedin.com/in/mengzhenchen EDUCATION

Washington University in St. Louis St. Louis, MO

Master of Science in Business Analytics (GPA: 3.8/4.0) Expected 01/2021

• Courses: SQL, R, Big Data and Cloud Computing, Deep Learning, Predictive Analytics, Text Mining, Data Investment Analysis Marquette University Milwaukee, WI

Bachelor of Science in Accounting & Information Technology (GPA: 3.8/4.0) 08/2015 – 05/2019 PROFESSIONAL • Courses: Python, EXPERIENCE Tableau, Statistic Analytics, System Analysis, Database Management, Business Technology Applications Neocova (Fintech Startup) St. Louis, MO

Quantitative Analyst Practicum 09/2020 – Present

• Value-at-Risk Analysis: Modeled Causal Inference using Bayesian statistics in R Studio to explore financial crisis intervention

• Financial Insight: Performed scenario analysis in bank portfolio performance and predicted 8% probability of investment loss Laurie Finkelstein Reader Real Estate Plantation, FL (Remote) Data Analyst Intern 05/2020 – 09/2020

• Data Processing: Structured over 10W+ cross-reference housing data in Florida using Python to analyze drivers of housing price

• Predictive Model: Enhanced 5% efficiency of price prediction system by updating machine learning regression with scientists

• Portfolios Optimization: Optimized investment portfolios by monitoring housing data pipeline and quantitative market research Ernst & Young Beijing, China

Analytics Intern 11/2019 – 01/2020

• Data Analysis: Analyzed a high-dimensional CRM electricity usage data on Python scripting (Pandas, NumPy) and SQL query

• Report Delivery: Prepared data-driven reporting presentation in an understandable way to non-analytic team for decision making

• Strategic Planning: Recommended niche marketing for the client to increase capital efficiency and target 15% revenue increase

• A/B Testing: Conducted user experience with the product management team towards niche marketing strategy after 1-month Foxconn Mt Pleasant, WI

Project Management Intern 08/2018 – 12/2018

• Data Visualization: Visualized 4 dashboards (Tableau) for time series and spatial analysis on 300+ local companies’ Excel data

• Business Insight: Evaluated companies’ status and recommended 25 potential companies for partnership to maximize the profits

• Cross-functional Team: Communicated across 6 divisions to establish working performance metrics system for salary indicators LEADERSHIPS • Project Management: & EXTRACURRICULARS Projected Robotic Process implementation with Engineering team to reduce 5% production costs annually Lending Club Loan Screening and Credit Risk Prediction Project St. Louis, MO Team Leader Sep 2020 – Present

• Explored loan data (2007-2020Q2) by FICO, income, employment status, and etc. to determine the indicators of rejected loans

• Trained KNN, Random Forest, Decision Tree and Neutral Network model to test accuracy and predict probability of credit risk Amazon Product Text Mining Reviews Project St. Louis, MO Team Leader 01/2020 – 05/2020

• Normalized corpus (Bag-of-Words) for Topic Modeling via Latent Dirichlet Allocation to recommend popular reviewed topics

• Utilized Sentiment Analysis (VADER lexicon, SVM) to evaluate positive / negative reviewed products for further improvement NIU Data Analytics 2019 Competition Naperville, IL Champion 04/2019

• Investigated kickback fraud risks detection in Ortho Implants Inc. based on financial statement and inventory transaction records

• Proposed predictive modeling reduce 10% kickback risk and then won the champion among 10 teams in Greater Chicago area Chinese Scholarship Student Association Milwaukee, WI Vice-President 09/2017 – 05/2018

• Managed 12-people team on social media operations and implemented target marketing to increase 50% followers within 6 mos SKILLS • Negotiated & HONORS with 5 sponsors about the ad fee from $50 to $80 per ad resulting in a 40% advertising revenue increase annually

• Technical Skills: Python(2yrs), R(1yr), SQL(2yrs), Tableau(2yr), IBM Watson Studio, Hadoop, Hive, MapReduce, Relational Database System, Salesforce, Text Mining, AB Testing, Predictive Modeling, Random Forest, Advanced Excel, Access

• Certificate: Data Engineering with Google Cloud Professional Certificate (Coursera), IBM Data Science Professional Certificate, Advanced Google Analytics, Bloomberg Certificate

• Honors: Beta Gamma Sigma, Beta Alpha Psi, MU Pere Marquette Scholarship, Louis Meldman Memorial Fund, Deans’ List



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