Hi, I'm Julius Fan

Data Scientist / Software Engineer

Hi! I'm a recent graduate from the University of California - Santa Cruz. I graduated in June 2020 with a B.S. in Computer Science and Minor in Applied Math and Statistics.

My interests include Data Science, Game Theory, and using computers to better our everyday lives. I would love to develop technologically inspired solutions for you!

View my resume
Mobile: (+1) 949-325-4087

Experience

June 2019 - September 2019

Software Engineer @ Spigot Inc.

Redshift

C#

Python

AWS Lambda

  • Increased quarterly revenue by 14% through creating a custom dashboard to display future customer prospect predictions.
  • Improved User Profiling by utilizing K-means clustering and market segmentation to divide consumers into more manageable buckets.
  • Constructed data processing pipeline using C# and SQL to provide information to the marketing department.
  • Built a front-end to facilitate making complex search queries by other team members.
June 2018 - September 2018

Business Intelligence Intern @ Spigot Inc.

Excel

C#

Python

SQL

Octave

AWS S3

  • Improved Customer Lifetime Value by 8% utilizing a live quadrant modeling system to better model when and why customers would click.
  • Shifted Advertiser Budget Allocations to reduce unnecessary expenditures by developing Python scripts to monitor AWS Redshift databases.
  • Spearheaded multi-stage customer acquisition plans to allow for better retention rate using data analytics in order to drive action in purchasing customers that were more active earlier on.
June 2017 - September 2017

Machine Learning Intern @ Genimous Technology

Python

SK-Learn

Numpy/Scipy

Tensorflow

  • Filtered 92% of fraudulent clicks for clients by utilizing Python clustering methods to group bot accounts.
  • Drastically improved ad revenue by implementing FTRL algorithm to adjust click weighting of consumers.
  • Decreased quarterly spending by over 15% by implementing server-side fraudulent activity checks.

My Projects

Paint_Screenshot

P.AI.NT (Fall 2018)

Python
TensorFlow
CNN
DeepCopy
Numpy/Scipy

Used Logarithmic Loss functions to improve image style copying between paintings and images. Based on the fast-transfer research of Ulyanov and Gatys. Innovated new approach to traditional image styling algorithms.

View Paper

Relevant Coursework

Algorithms and Abstract Data Types
Computational Complexities
Applied Discrete Math
Artificial Intelligence
Machine Learning
Comparative Programming Languages
Computational Models
Computer Architecture
Algorithm Analysis
Data Structures
Linear Algebra
Operating Systems
Ordinary Differential Equations
Probability and Stochastic Analysis
Vector Calculus I/II/III
Web Applications
Software Engineering
Database Systems I/II
Distributed Systems
Classical and Bayesian Inference

Contact

I'm currently available for full-time work. If you're interested in working with me, please get in touch through my email juliusfan98@gmail.com.