DANIAL YASEEN

San Diego, CA

858-***-**** adg8bh@r.postjobfree.com https://github.com/Danial323/ EDUCATION

University of California San Diego San Diego, CA June 2021 B.S. Data Science

Relevant Coursework: Data Structure and Algorithms for Data Science, Recommender Systems and Web Mining, Artificial Intelligence: Probabilistic Reasoning and Decision-Making, Algorithm Design & Time Complexity, Web Development and data visualization, The Implementation of Data Science, Databases, Exploratory Data Analysis and Inference

Organizations/Activities: Data Science Student Society, UCSD CSE Society TECHNICAL SKILLS

Java

JavaScript

Python

SQL

R

MATLAB

Git

IntelliJ/Atom/Visual Studio

Jupyter Notebook

EXPERIENCE

ViaSat San Diego, CA Oct 2020 - Present

Data Engineer Intern

Analyze VPN data using ML algorithms to better understand internet traffic

Work in Groups to come up with concise plans to find new ways to analyze and understand VPN network stats

Connect to servers to set up virtual environment to process Big Data

Optimized ML algorithms with Train Testing and Feature Engineering UCSD Data Science Student Association San Diego, CA Oct 2018 – Sept 2019 Events Committee Member

Coordinated both academic and social events for the student organization with an attendance of more than 100 members

Collaborated with peers to strategize and implement a long-term plan for events committee

Provided Counseling and pier advising to those interested and curious about data science

Networked and contacted professionals in the field to advise students and clarify the complexities of data science

Worked with teams to solve problems, whether it was fiscal, transportation, or technical PROJECTS

Snapchat Ad View Model

Constructed models that projected number of views per a dollar spent on ads using Python, Pandas, SciKit

Used Pandas to clean and organize data and used NumPy to clean and process the data

Implemented SciKit package to create linear regression models on number of views per Snapchat ad

Utilized feature engineering to extract meaningful features from the data and label/one hot encoding to quantify categorical data

Blog Website

Developed an interactive blog website that allow users to view posts and create new posts instantly with a click of a button using HTML/ CSS, JavaScript, BootStrap, EJS, Mongoose

Implemented HTML/CSS, BootStrap, and EJS to create reusable User Interface components to generate multiple pages for blog

Utilized JavaScript to organize user data into JSON format and display data on multiple webpages in a structured layout

Used Mongoose database to store user data so that the user data can be accessed and modified during multiple web sessions

Interactive To-Do List Web Application

Created an interactive To-Do List React Web App that allows users to add in and take out daily task within a nice UI layout using HTML/CSS, JavaScript, React, NPM

Implemented React Hooks to change the webpage to apply the user input to either add or delete a task

Utilized React Components feature to make reusable UI and to make the code cleaner and more Organized

Used React Props to send information to different react components and to send inputs to JavaScript functions