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Hi! I'm Derek Papierski, a data scientist, developer, and student.

🛠️ Skills & Tools

  • Tools: Python; SQL; AI/ML; R; Tableau; SPSS; Statistics; C++
  • Skills: Critical Thinking; Problem Solving; Mentoring; Communication; Leadership; Teamwork

⭐ Favorite Projects

  • Stock Insights with Machine Learning (Python) - The purpose of this project was to use historical stock data from Yahoo Finance to analyze and predict future stock movements. The project uses a combination of data cleaning and machine learning techniques, specifically a random forest classifier, to make predictions about whether a stock will go up or down in value the next day.
  • Twitter Sentiment Analysis (Python) - This is a data analysis project that involves loading a dataset of tweets, exploring the data, cleaning and preprocessing the text, and then using machine learning to classify the tweets as either positive or negative. The project uses the Pandas library for data manipulation, Matplotlib for data visualization, and scikit-learn for building the machine learning model. The resulting model is able to classify tweets with an accuracy of around 90%.
  • Pharmacy Database (SQL) - The purpose of this project is to explore the role of database management systems in pharmacies. To do this project, I imported a pharmacy-related dataset into MySQL, designed a conceptual model, translated the ER model into a SQL schema, executed SQL queries to uncover interesting findings, and deployed indexes on the database to improve performance.

💻 Currently Improving My Skills In...

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Derek Papierski's Projects

bank-churn icon bank-churn

Analyzing bank data and predicting churn to generate actionable insights the bank can use to increase retention.

codecoach icon codecoach

An AI-powered platform that assists ACM student members in mastering the skills to solve intricate ICPC problems

nlp-sentiment-analysis icon nlp-sentiment-analysis

Harnessing machine learning, this project illuminates valuable insights from social media sentiment to strategically poach dissatisfied players from competitors and identify market opportunities.

pharmacy-database icon pharmacy-database

In this project, I designed a conceptual model, translated the conceptual model into an SQL schema, wrote SQL queries to gain insights, and deployed database indexes.

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