First-Class Graduate Data Scientist
Welcome to my GitHub! Here, I explore how Machine Learning and AI can revolutionise the Finance sector by wrangling data and building models. When I am not tapping away at the keyboard, crushing bugs or crunching numbers, you can catch me on a tennis court, sipping a cup of coffee or geeking out over the latest developments in the Tech industry.
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class Me:
def __init__(self):
# Basic info
self.name = "Arslonbek Ishanov"
self.role = "Data Scientist & AI/ML Enthusiast"
self.skills = ["Statistics", "Programming Proficiency", "Data Wrangling", "Machine Learning", "Communication & Story Telling"]
self.tools = ["Python", "SQL", "Jupyter Notebooks", "Version Control", "Tableau", "Power BI"]
self.hobbies = ["Tennis", "Open Source Contribution", "Knowledge Sharing", "Experimenting with New Tools"]
def introduce(self):
print(f"Hi, I'm {self.name}.")
print(f"My role: {self.role}.")
print(f"My main skills: {', '.join(self.skills)}.")
print(f"My favorite tools: {', '.join(self.tools)}.")
print(f"My hobbies: {', '.join(self.hobbies)}.")
# Create an instance
me = Me()
# Introducing myself
me.introduce()
Published a Dataset of LSE-domiciled Companies with Their Financial Metrics
on Kaggle
Completed the Scikit-Learn Documentation
on GitHub
Expanded the Wikipedia Article about Scikit-Learn
on Wikipedia
- Python, Pandas, NumPy, SciPy
- Machine Learning (Random Forest, XGBoost, TabNet)
- Deep Learning & Neural Networks
- Data Analysis & Visualisation
- Stock Market Analysis & Financial Modelling
- SQL, Databases, BigQuery
- Data Scraping & APIs (yfinance, BeautifulSoup, Requests)
- Collaborations
- Tennis
- Coffee
- Anything else you think is interesting!
Note: The languages displayed here are based on the code in my public repositories and do not fully reflect my overall experience or proficiency.
Here are a couple of jokes to brighten your day! ;)
Joke 1: There are two types of people in the world:
- Those who can extrapolate from incomplete data.
Joke 2: There are 10 types of people: those who understand binary, and those who do not.
I am always happy to connect, collaborate, and discuss interesting ideas. Feel free to check out my projects below, reach out on LinkedIn, DM me on Discord or just send me an email!
Visit the References file to check out all the resources used to create this profile README file.





