Hello, I'm Michael Markin.
I do data
And I strive within the intersection of finance and computer science.
About
To make a meaningful impact in the workplace (and the world), it takes more than just being a capable programmer. It also requires someone who will ask creative questions after fully understanding the workflows and data around them.
Experience
I collaborated with the VP of underwriting to analyze and report on credit risk trends. I also worked with the lead data scientist to advance the company's lead-scoring model using NLP.
I worked alongside traders and portfolio managers to automate workflows and build custom dashboards from portfolio data.
I joined the marketing team to provide insights on website traffic. I also developed a Python script to webscrape relevant business proposals from county websites.
Projects
Click on a card to expand it.
![nj beach tracker](/assets/img/beach-ocean-coastal-landscape.jpg)
A website that helps people find the best New Jersey beach on any given day.
![quiz app](/assets/img/flat-emoticon-reactions.jpg)
A Dockerized Flask app that predicts sentiment on user-inputted text.
![Screenshot of web app](/assets/img/two-repairmen-fixing-washing-machine-handymen.jpg)
Auto-detecting home improvement services within unstructured text.
![Screenshot of web app](/assets/img/spreadsheets-concept-illustration.jpg)
A Python walkthrough demonstrating methods of writing to existing Excel files.
Articles
I am actively writing on Medium.
Check out my recently published work.
Skills
- • Python
- • JavaScript
- • HTML/CSS
- • R
- • Bash
- • Bloomberg BQL
- • SQL
Languages
- • Node.js
- • Express
- • Flask
- • Axios
- • Bootstrap
- • DataTables
Web Development
- • Excel & Analysis ToolPak
- • Tableau
- • Jupyter Notebook
- • Git/GitHub
- • Microsoft SQL Server
- • Docker
- • Heroku
- • Streamlit
Tools & Technologies
![Python logo](/assets/img/python-logo.jpg)
Python is my language of choice.
I am experienced with data processing, web scraping, and machine learning projects.
Below are my most frequently used libraries.
Data Processing:
Pandas, NumPy, Regex, Matplotlib, Seaborn, Openpyxl
Web Scraping:
BeautifulSoup4, Selenium, Requests
Machine Learning:
Scikit-learn, NLTK, Transformers, SpaCy, XGBoost, Gensim, Tensorflow, Keras
Education
Philadelphia, PA
Degree: Bachelor of Science in Business Administration
Majors: Finance and Business Analytics
Minor: Computer Science
Cumulative GPA: 3.71/4.0
Relevant Coursework:
• Artificial Intelligence
• Robust Machine Learning
• Database Design & Implementation
• Statistical Inference
• Programming for Data Analytics (R Studio)
• Marketing Insights