LIANRU PENG

**** * ***** **. *********, VA *****

714-***-**** adx9ik@r.postjobfree.com https://lianru.georgetown.domains/ EDUCATION

Georgetown University Washington, D.C.

Master of Science in Data Science and Analytics, GPA 3.926/4 Aug. 2021 – May 2023 Core Courses: Database Systems and SQL, Advanced Data Visualization, Statistical Learning for Analytics, Big Data and Cloud Computation, Data Structures, Objects, and Algorithms, NLP for Data Analysis, Time Series University of California, Davis Davis, CA

Bachelor of Science in Mathematics Analysis & Operations Research Sep. 2017 – June 2021 Core Courses: Modem Algebra, Math for Data Analytics, Stochastic Processes, Optimization, Probability SKILLS

Technical: Proficient in SQL, PostgreSQL, Python, R, Excel, Tableau, Data Visualization, Data Manipulation, A/B Testing, Machine Learning, TensorFlow, AWS, Azure, S3, Hadoop, Sagemaker, PySpark Certification: Tableau Desktop Specialist

Languages: Chinese(native), English(fluent)

PROJECT

Blockchain Insights Over Reddit

http://lianru.georgetown.domains/AWS/index.html Aug. 2022 – Dec. 2022

• Extracted and cleaned over 4 billion comments and submissions data on Reddit from Azure Blob Storage and exploratory data analysis.

• Build a language processing pipeline and performed sentiment analysis on comments texts using nltk models.

• Built predictive models using LightGBM and XGB to forecast the number of comments in the next 8 weeks. Time Series Analysis of Cryptocurrencies

http://lianru.georgetown.domains/560/560.html Feb. 2022 – May 2022

• Implemented moving average algorithm to determine the trend of Bitcoin and assessed seasonality and stationarity.

• Developed ARIMA model in R to predict Bitcoin prices and compared results with benchmark methods.

• Utilized Keras to train neural network models in Python for price prediction in the next 10 days. Suggestions for DC Residents Based on Historical Crime Situation Feb. 2022 – May 2022 http://lianru.georgetown.domains/DC_crime/index.html

• Led the team to design an interactive visualization goal considering time, hierarchical and geographic information.

• Applied Tableau, ggplot, D3 script and JavaScript to design interactive visualization including line chart, geographic map, and treemap.

• Analyzed the significance of the visualization results and constructed data-driven stories to complete the analysis report, making recommendations for Washington residents to travel, rent, etc. RESEARCH EXPERIENCE

Business Analysis on iPhone Aug. 2020 – Oct. 2020

Instructed by Mr. Noah Gift from UC Berkeley

• Analyzed tweets and product reviews to capture customer sentiment and determine the most important features of the iPhone 12.

• Applied data scraping, clustering, and visualization techniques, including BeautifulSoup, K-means, geopandas, and matplotlib, to support the analysis.

• Utilize Scikit-learn to identify the statistically significant features and their linear relationship with sales.

• Delivered a final recommendation to Apple on the key focus areas for future promotions and advertisements.

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