Machine Learning

Jacob Biloki EDUCATION

California State University,

Fullerton

Computer Science, B.S.

• Graduating December 2017

• GPA 3.6

• Dean’s List: Fall and Spring

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and Spring 2017

Undergraduate Research Assistant (advised by Dr. Mikhail Gofman) • CSU Fullerton • August 2016 – Present

• Developing applications for multimodal biometrics to identify users by their ear, face, and fingerprint to gather data from users to implement in machine learning algorithms.

• Researching and implementing machine learning algorithms to identify an individual using biometric factors.

• Developed Android application to collect biometric data, test and implement machine learning algorithms produced by the research results. Unisys Intellisense Developer • CSU Fullerton • February 2017 – June 2017

• Collaborating with a team of 5 to develop an Intellisense application using Microsoft Visual Studio extensibility tools and C# to provide support for ALGOL development at Unisys.

• Lead development on syntax highlighting for errors and scoping to improve the development process with ALGOL by guiding the user developer with visual feedback on their mistakes.

• Presented product and documentation for both users and developers to personnel at Unisys for approval.

Boeing Security Researcher • CSU Fullerton • February 2017 – May 2017

• Collaborated with professors and graduates students to improve and quantify Boeing’s current security standards.

• Measured the in-place security practices and quantified their effectiveness by examining documentation for in place security measures.

• Created a measurement and effectiveness usecase for each security method.

• Presented research and documentation to IT personnel at Boeing bi-weekly

• Delivered final meeting report for full documentation that consisted of a new completed manual containing our measurements.

EXPERIENCE

*******@*****.*** Orange County, CA 657-***-****

/jbiloki /in/jacobbiloki

SKILLS

Languages

Proficient:

• Java, C++, Python

Familiar with:

• Node.js, JavaScript, HTML,

CSS, x86 Assembly, C, PHP

and SQL

AWARDS

GE Digital Predix CSU Innovation

Challenge 2017

OpenCV + Machine Learning

Developer

Most Unique Solution

IEEE Sustech Arizona 2016

OpenCV + Android Developer

3rd place winner

PUBLIC

SPEAKING

CSU Fullerton Security Day

Security Innovation Conference

December 2016

• Presented to industry leaders

such as Microsoft about the

goal and progress of the

biometric research.

ACM-W CSU Fullerton Chapter -

Unity 2D Teaching Assistant

February 2017

• Conducted workshops for 35

students that introduces

fundamentals of Git and Unity

as the baseline for students’

games.

CURRENT PROJECTS

Kaggle Data Science Competitions

Zillow Prize: Zillow’s Home Value Prediction (Zestimate)

• Improved Zestimate score by cross validating model predictions as well as their hyperparameters.

• Goal: to predict the error of Zillow’s zestimate housing price predictions.

• Placing top 30% in competition ranking.

Tools: Anaconda, scikit-learn, pandas, NumPy, seaborn, Matplotlib Language: Python3

Twitter Mine

• Finding correlation between company stock value and Twitter activity with ongoing data collection and research.

• Goal: Using data-mined tweets from selected companies such as Microsoft, IBM and Facebook and applying natural language processing using NLTK and sentiment analysis to extract features from text that finds correlations between tweets and the company’s current stock.

Tools: Anaconda, NumPy, Matplotlib, cron, NLTK

Language: Python2.7

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