Figo Nathaniel
Summary
Passionate and self-motivated Data Scientist with a background in Political Science. Extensive self-taught and online course training in data science, machine learning, and data analysis. Proven ability to apply theoretical knowledge to real-world problems to drive business decision-making. Highly proficient in Python, R, and SQL, with experience in data cleaning, visualization, and predictive modeling. Adept at interpreting complex data to create actionable insights and provide solutions to business challenges.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Associate
85c Bakery Cafe
02.2022 - Current
• Making drinks coffee, tea, and smoothies, and completing 150 - 200 customer orders each day.
• Analyzed customer drinks preference to recommend similar-tasting drinks leading to an increase in upsells.
• Strong customer service skills, with the ability to provide a positive and professional experience for customers.
• Experience handling cash and making accurate calculations.
• Proficiency with computerized cash registers and ability to learn new programs as needed.
• Ability to multitask and work efficiently in a fast-paced environment.
Education
Bachelor of Science - Political Science/ Data Analytics
University of California - San Diego
La Jolla, CA06.2025
Associate of Arts - Business
Pasadena City College
Pasadena, CA06.2023
Skills
- Python(NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn)
- SQL(MySQL, Postgres)
- Dashboard &Data Visualization
- Power BI
- R(programming)
- Tableau
- Microsoft Excel/Power Query
- Data analyst
- Machine Learning
- Problem Solving
- Customer Service
Certification
Business Intelligence & Data Analyst (BIDA) ®
• Machine Learning
• Statistical Programming
• Statical analysis
• Data manipulation
JPMorgan Investment Banking Virtual Experience Program on Forage
• Financial Analysis
• Mergers & Acquisitions (M&A)
• DCF Valuation
Projects
NBA Data Science Project (Oklahoma City Thunder)
- Conducted comprehensive analysis of NBA data to assess player performance, team dynamics, and other key metrics using a Jupyter Notebook.
- Utilized Python libraries such as pandas, numpy, matplotlib, and seaborn for data cleaning, manipulation, and visualization.
- Evaluated player performance across various metrics such as points per game, years of experience, and player roles (e.g., Elite, All-Star, Starter, Rotation, Roster, Out of League).
- Developed a predictive model to answer open-ended questions and presented findings in a well-structured HTML document.
- Ensured code clarity, conciseness, and proper line wrapping for effective review and grading.
Timeline
Associate
85c Bakery Cafe
02.2022 - Current
Bachelor of Science - Political Science/ Data Analytics
University of California - San Diego
Associate of Arts - Business
Pasadena City College
Similar Profiles
Luis CastanedaLuis Castaneda
Delivery Shift Leader at 85c Bakery Cafe - NewarkDelivery Shift Leader at 85c Bakery Cafe - Newark
Owen DaileyOwen Dailey
Assistant Manager at 85c Bakery CafeAssistant Manager at 85c Bakery Cafe
Figo NathanielFigo Nathaniel
Barista/Cashier/Baker at 85c Bakery CafeBarista/Cashier/Baker at 85c Bakery Cafe
Amy JuarezAmy Juarez
Cake Decorator at 85c Bakery CafeCake Decorator at 85c Bakery Cafe
Vivian MaxwellVivian Maxwell
Associate at AmazonAssociate at Amazon