Data Science Machine Learning

Ethan Kakavetsis

***************@*****.*** github.com/EthanKakavetsis linkedin.com/ethankakavetsis

Dedicated professional with a passion for leveraging data-driven insights to solve complex problems. Experienced in data analysis, machine learning, statistical modeling, data engineering, and public health informatics. Graduate seeking to contribute skills in a dynamic data science role.

EDUCATION

University of California, Berkeley Aug 2021 - May 2024 B.A. in Data Science with emphasis on Computational Biology GPA 3.5 Relevant coursework: DATA C102 (Data, Inference, and Decisions), DATA 101 (Data Engineering), DATA 100 (Principles & Techniques of Data Science), STAT 134 (Concepts of Probability), CS 188 (Introduction to A.I.), MCB 104 (Genomics), MCB 102(Biochemsitry), CS 61B (Data Structures/Algorithms), PBHLTH 167 (Applied GIS in PBHLTH), DATA 8 (Foundations of Data Science), INTEGBI 120

(Quantitative Methods In Biology)

SKILLS

Technical Skills: Data Analysis, Data Visualization, Hypothesis Testing, Causal Inference, Machine Learning, Modeling Languages: Python, Java, R, SQL, MQL (MongoDB), GIS Tools: IntelliJ/PyCharm/VSCode,Git/GitHub, Excel, Tableau, NodeJS,StreamLit,DBT,Snowflake,Airflow,StoryMaps TECHNICAL EXPERIENCE

Undergraduate Researcher Jan 2024 — Present

UC Berkeley - Agriculutre and Natural Resources

• SAS, Python, Excel, Tableau

• Data Visualization

• Data Cleaning from 55 question survey

• Findings from the UC ANR Household Food Waste Survey (Link to Project Report) Biomedical Research Intern June 2023 — Dec 2023

Berkeley Pharma Tech

• Led coordinating project activity and communication with the BizDev team

• Assistedwith preparing project reports, memos, presentations, and proposals

• Conduct research on PubMed and other scholarly databases (Link to Published Paper) NHL Penalty Kill Prediction and Team Penalty Analysis Data C102 Final Project

• A/B Testing

• Data Visualization/ EDA / Python

• Bayesian Hierarchical Modeling

• Multiple Hypothesis Testing (Link to Project Report) Academic Intern Aug 2023 — Dec 2023

UC Berkeley - College of Computing, Data Science, and Society

• Course Website (Link)

• Led weekly two hour labs and discussions

• Instructed students on data visualization, machine learning models, and inferential statistics in Python

• Regularly oversaw a group of 4 students for academic support GITHUB PROJECTS/ACTIVITIES

Build Your Own World (Java, Data Structures, Algorithms, Software Engineering) Hog, Ants, Cats (Python, Abstraction, OOP)

Image Denoising with Gibbs Sampling (Python, Pymc, Pickle, Statsmodels.api, Bambi) Implementation of UCB and ETC algorithms (Python)

Analysis of classic Crabs Dataset (R)(Link to Write-up) Berkeley Club MIS/MI4 Robust discussions on topics related to AI and data science in medicine Aug 2021 - Present Data Transformation/ MONGO DB/ Query Performance (SQL, MQL) Spam/Ham Classification (Logistic Regression/ Feature Engineering/Classification/ Cross Validation)

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