Yuchi Chen Email & Phone Number

• Hold office hours to assist students in Linux, SAS, R, Python, Spark, SQL, Parallelization, and Git

• Analyzed the relationship between Twitter and cryptocurrencies, and built a return prediction model, such as ADA, BTC, ETH
• Cleaned and quantified 147 million Tweet data, such as bot detection and sentiment analysis based on a hybrid of the rules-based and model-based model, and calculated PageRank scores in the retweet network to filter.
• Generated an interactive dashboard to explore the correlation between attention, sentiment, and price-related features and return by Tableau and completed feature engineering using the Granger Causality Test
• Built one regression model that predicts the cryptocurrency return and one binary trend classification model in python

• Forecasted the country of tweets and learned user preferences by countries to improve personalized recommendation
• Crawled tweets, extracted features from texts, including hashtags, mentions, shortened URL expanding, and cleaned text data by translation, tokenization, spelling check, lemmatization, removing stopwords, and.
• Identified distribution, trends, and relationships of features and conducted sentiment analysis of text with visualization, including wordcloud, stacked bar charts, and cat charts using seaborn
• Generated unsupervised topic clustering models to analyze topical contents, including LDA (Latent Dirichlet Allocation), NMF (Non-Negative Matrix Factorization), and visualized them as an interactive dashboard by sklearn
• Built a 6-country classification model using Bi-LSTM to predict country labels of tweets without location shared

• Developed a data-intensive application in Cloud to recommend ERC-20 tokens on the Ethereum Blockchain
• Built the combination of streaming and batch pipelines with ETL (extract, transform, load) processing using delta lake
• Completed EDA to gain information related to tokens and transactions, including trends in Spark SQL on Databricks
• Managed the lifecycle of ALS recommendation model by training, tuning, serving, and monitoring with MLFlow

• Conducted the analysis that raising teacher pay would improve public high school academic performance
• Complemented descriptive analysis to explore distributions using histograms, and box and whisker plots in Tableau
• Investigated the relationships of each feature and selected features based on heatmap, joints maps, ANOVA test, Chi-Square test, component analysis (PCA), and cluster analysis (KMeans)
• Built a classification XGBoost model with 93% accuracy to forecast excellent student percentages in schools

Wuhan, Hubei, China

• Assisted in cleaning and mining data of stock market using Navicat with SQL for rough stock trend prediction
• Built a multiverse deep reinforcement learning algorithm with a specific environment for coupled stock trading by adjusting Gym and Pytorch
• Designed and extracted features for dynamic states and partitioned reward functions of reinforcement model
• Implemented Darwin Reinforcement for parallel reinforcement training solving convergence problems and parameter adjustment for a global optimization solution
• Drafted compact calibration tools for mobile posture detection app

Wuhan, Hubei, China

• Project: Land Use/Land Cover Classification by Combining Deep Learning and Google Earth Engine
• Obtained and dealt with big geographic data and remote sensing images through GEE in Python and JavaScript
• Conducted the globally applicable 100m spatial resolution land cover classification deep learning model using TensorFlow with 85% accuracy in the scope of most European areas
• Obtained and analyzed dynamic ecosystem service values ranks and trends of 39 countries in Europe from 2017 to 2020, including the epidemic influence

Wuhan, Hubei, China

• Super-resolved satellite images from 60m and 20m to 10m spatial resolution by constructing two deep neural networks with TensorFlow utilizing different band information
• Coordinated work distribution among group members as a group leader

Master Of Science - Ms, Data Science

Bachelor'S Degree, Remote Sensing Technology, 3.87