Machine Learning Data Analyst

HONG SHI

901-***-**** I Memphis, TN I ****.***********@*****.*** I https://github.com/hongshi5186

https://www.linkedin.com/in/hong-shi-8b84571a1/

Education

M.S. in Data Science May 2024

University of Memphis, Memphis, USA,

GPA 3.66

Relevant Coursework: Advanced Statistic Learning 1 & 2, Fundamental of Data Science, Web Analytics, Machine Learning, Advanced Database Systems, Business Artificial Intelligence, Data Mining, Information retrieval & web search, Natural Language Processing (NLP), Advanced topics in Machine Learning Skills

Programming Languages: Python, R, MySQL, Java, HTML, Ruby on Rails, Bootstrap, CSS, JavaScript Machine Learning: PyTorch, Scikit-learn, TensorFlow, Keras, NumPy, Pandas, Matplotlib, Seaborn Tools: Power BI Desktop, Tableau, MS Office

Languages: Chinese (native speaker), English

Other skills: Problem-solving, Analytics, Communication, Teamwork and Collaboration, Quantitative Analysis, Adaptability Academic Projects

House Price Index Analysis Sep - Nov 2023

• Collected data on house prices from the Federal Housing Finance Agency (FHFA) and unemployment rates.

• Analyzed the relationship between state, year, quarter, unemployment rate, and newly created target feature seasonal variation by dividing the house price seasonal index by the house price nonseasonal index.

• Trained linear regression, random forest, and support vector regression models using 80% of the dataset as a training dataset, then evaluated the models' performance using the rest of the dataset as a testing dataset. Plant Disease Detection Using Supervised Learning with Deep Neural Network Mar - May 2023

• Gathered data from the plant village and balanced the dataset and used the ImageDataGenerator to rescale and rotate the images from our dataset.

• Developed a ResNet 50 classification model using TensorFlow and Keras libraries.

• Training model with 10 epochs, with a warm-up period of 3 epochs followed by 7 epochs with increasing learning rates, achieving 99.32% accuracy and working on predicting healthy and diseased plants. Predict Customer Churn in the Telco Industry Sep - Nov 2022

• Compiled data from various sources, including customer profiles, billing information, service usage, and customer interactions.

• Created new features such as customer tenure, usage patterns, and customer demographics to improve model performance.

• Designed a machine learning model to predict customer churn, and compared the accuracy, precision, recall, and F1 scores of Logistic Regression, Decision Tree, and Random Forest, the Logistic Regression and Random Forest had better performance. Work Experience

University of Memphis, TN, Graduate Teaching Assistant Aug 2022- present

• Acted as assistant professor in course preparation and evaluation.

• Facilitated discussion to enhance understanding of course concepts, focusing on Discrete Structures, Fundamentals of Data Science, and Machine Learning.

E-commerce Business Owner 2016-2021

• Formulated and executed impactful e-commerce strategies, leading to a substantial increase in online sales through effective product promotion, activities, and improved customer engagement.

• Conducted data-driven sales analysis, optimizing product display and inventory management to significantly boost sales performance. Led the design of efficient customer service processes, elevating satisfaction levels and fostering repeat business.

Hubei Time Technology Group Co., Ltd, China, Business Data Analyst 2013-2016

• Collated, cleaned, and analyzed data for the company's products, actively generating crucial business reports.

• Integrated internal financial and sales data, conducted in-depth analysis of operational costs and sales activities, and proactively suggested business optimization strategies.

• Collaborated with the Human Resources department to analyze employee salary, performance, and welfare data, contributing to the development of competitive compensation policies.

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