Yang Jie

About Yang Jie

Data Scientist with 5+ years of experience in the Retail industry. Proficient in applying Statistical Analysis and Machine Learning modeling in Marketing and Inventory Management. Specialized in Time Series Analysis and Sales Forecasting, data-driven decision-making and optimized resource allocation. Experienced in working with cross-functional teams and communicating with stakeholders. Hobby in Badminton and Cooking.skills:Python, NumPy, Scipy, Pandas, Matplotlib, Seaborn, Scikit-Learn, SQL, PCA, ARIMA, SARIMA, SVM, SHAP,GitHub, Flask, Beautiful Soup, Selenium, TensorFlow, Keras, PyTorch, CNN, RNN, LSTM, NLTK, NaturalLanguage Processing (NLP), Large Language Models (LLMs), Generative AI, AWS, Microsoft Azure, Google CloudPlatform (GCP), Snowflake, Databricks, Hadoop, Spark, Tableau, Power BI, A/B Testing, Dataiku, MATLAB, VBA

Experience

1. Data Scientist Fellow

   Techlent

   Aug 2023 — Present · Great Triangle, NC, US

   To assist drug store managers in optimizing budget allocation based on sales demand, developed a Sales Forecast Model using time series technology.Collected drugstores sale data and store data, carried out EDA and feature engineering with domain knowledge. Found the stationarity and seasonality of the sale data. Trained and evaluated multiple time series models such as ARIMA, SARIMAX, Prophet. Identified SARIMAX as the best model with the lowest RMSE of 825.32. Deployed the SARIMAX model as a Flask API on GCP, streamlining accessibility and utilization.This model lowered the error by 30% accordingly by the same margin. As a result, the revenue of the store increased by 30% quarterly.

Education

• Wuhan University

  Master of Engineering - MEng, Computer Science

• Wuhan University

  Ph. D., Computer Science- formal method

  2004

• Wuhan University

  Bachelor's degree, Computer Science

• Stevens Institute of Technology

  visiting scholar, Computer Science