Elias Saravia
  • Home
  • About Me
    • Work Experience
    • Research Experience
    • Extracurricular
  • Projects
    • Computer Science
    • Data Science
    • Other Projects
  • Blog
  • Creative Work
  • Contact

About Me

About Me

I'm a student at the University of California, Berkeley studying both Applied Mathematics (Statistics) and Data Science (Cognition). I am seeking an internship/research opportunity in data science and/or computer science.

With Data Science, I am interested in data analytics and machine learning internship positions. I am familiar with machine learning concepts (e.g. linear/logistic regression, classification, clustering), statistical concepts (e.g. A/B testing, bootstrapping, stochastic processes), and performing Exploratory Data Analysis. Coding languages and softwares include Python, R, SQL, matplotlib, pandas, numpy, scikit-learn and Tableau.

With Computer Science, I have taken interest in front-end development, web development and IOS development. I am familiar with data structures (e.g. Binary Search Trees), data abstraction, and creating test cases. Coding languages include Python, Java, JavaScript, and HTML.

Picture
Download resume

Education

University of California, Berkeley
Expected Graduation: December 2020
B.A. Applied Mathematics - Statistics
  • Introduction to Complex Analysis (Math 185)
  • Numerical Analysis (Math 128A)
  • Abstract Algebra (Math 113)
  • Linear Algebra (Math 110)
  • Introduction to Analysis (Math 104)
  • Discrete Mathematics (Math 55)
  • Linear Algebra & Differential Equations (Math 54)
  • Multivariable Calculus (Math 53)
 
  • Concepts of Statistics (Stat 135)
  • Probability Theory for Data Science (Stat 140)
  • Time Series Analysis (Stat 153)
B.A. Data Science - Cognition
  • Introduction to Machine Learning (CS 189)
  • Artificial Intelligence (CS 188)
  • Data Science and Venture Applications (Ind Eng 135)
  • Principles and Techniques for Data Science (Data 100)
  • Probability Theory for Data Science (Stat 140)
  • Data Structures (CS 61B)
  • Structure and Interpretation of Computer Programs (CS 61A)
  • ​Foundations of Data Science (Data 8)
  • Ethics in Science and Engineering (Bio Eng 100)
 
  • Brain, Mind, and Behavior (MCB C61)
  • Perception (Cog Sci C126)
  • Brain Damage (Cog Sci C170)​

Honors and Awards

SCET Certificate of Entrepreneurship & Technology -- August 2020
​
Code2040 Fellow -- May 2020
First Place Startup Pitch Deck [Ind Eng 190C] -- April 2020
Generation Google Scholar -- May 2019

National Science Foundation (NSF) LSAMP Research Scholar -- May 2019
Dean of Students Outstanding Student Organization Award -- May 2019
Hispanic Scholarship Fund National Leader in Education Semi-Finalist Award -- Dec. 2018
Hispanic Scholarship Fund STEM Summit Scholar -- Sept. 2018
PUC-Rio Brazilian Seminar Certificate of Completion -- Aug. 2018​

Hispanic Scholarship Fund Scholar -- July 2018 , July 2017
Data Science Scholar -- Jan. 2018
Andres y Maria Cardenas Scholar -- Mar. 2016
United States Academic Decathlon Silver Medal in Speech -- Feb. 2016
Gates Millenium Finalist -- Jan. 2016
Los Angeles Marathon Finisher -- Feb. 2016 , Mar. 2015 

Skills

Programming Languages: Python, SQL, R, Java, Javascript, MATLAB, HTML
Data Analysis: pandas, NumPy, Matplotlib, seaborn, Tableau
Data Engineering: Azure, Airflow, LucidChart, Snowflake
Machine Learning: Scikit-Learn, Tensorflow
Natural Language Processing: RegEx
Geospatial Mapping: QGIS
Human Centered Design: Luma, Jira
Adobe Software: InDesign, Illustrator, Photoshop
Other Tools: Git, LaTeX, Putty, Docker

Other Skills: Product Management, Public Speaking, Communication

  • Home
  • About Me
    • Work Experience
    • Research Experience
    • Extracurricular
  • Projects
    • Computer Science
    • Data Science
    • Other Projects
  • Blog
  • Creative Work
  • Contact