Collaborated with web developers through ideating, hypothesizing, and developing a digital solution MVP for Arc'teryx in a 24-hour hackathon.
Created a data visualization tool that supports users in decision-making.
1. Fundamentals: Data Analysis & Visualization
- Skills: SQL, Databases, Data Modeling & Schema, Data Analysis, Data Visualization, Dashboards
2. Analysis for Data Science
- Skills: Python,
Object-Oriented Programming (OOP),
Data Cleaning,
Exploratory Data Analysis (EDA),
Statistical Analysis,
Hypothesis Testing,
Predictive Models,
APIs & Web Scraping,
Command Line Scripting,
Python Data Visualization,
Code Version Control
3. Artificial Intelligence & Machine Learning Techniques
- Skills: Generative AI,
Prompt Engineering,
Machine Learning,
Supervised Learning,
Unsupervised Learning,
Feature Engineering,
Text Analysis (NLP) & Image Processing,
Model Evaluation,
Exploratory Data Analysis (EDA)
4. Big Data Fundamentals With Machine Learning
- Skills: Cloud Fundamentals,
Recommender Systems,
Big Data Analysis,
Machine Learning,
Hadoop,
Spark,
AWS
5. Professional Development
- Skills: Agile
Data Science Portfolio,
Design Thinking,
Whiteboarding,
Presentation & Communication
- Data Analytics with Excel
- Database Operations & Advanced Data Analytics with SQL
- Data Visualization with Tableau