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Skills

  • Blogging
  • Creative
  • Data Analysis
  • Data Management
  • Data Science
  • Humanities
  • Machine Learning
  • Modeling
  • Process Design
  • Science

Services

  • Data Science

    $30/hr Starting at $60 Ongoing

    Dedicated Resource

    Let's talk about your problem and let me offer creative ways to solve it. I have built models to study the human body's reaction to exercise, predict the likelihood of loan default, and tell the sentiment...

    BloggingCreativeData AnalysisData ManagementData Science

About

Data scientist with strong research/academic background and Python programming skills

I am a data scientist at a fintech startup dealing with problems related to alternative credit scoring and social media text analytics. I have worked with a large volume of transactional, financial and textual data on the job.

Last January, along with the senior members of our startup, I participated in the Google Launchpad Accelerator in San Francisco. While there, I was able to receive mentorship and training on machine learning from Google.

Previously, I was a research assistant in the Institute of Mathematics at the University of the Philippines wherein I used optimal control theory and patient data to study how the human body reacts to exercise. We were able to publish our results in the international peer-reviewed journal Mathematical Biosciences. I was also able to present our results at the European Conference on Mathematical and Theoretical Biology 2016 held in Nottingham, United Kingdom.

During my undergraduate years, I was also a research member of the Complexity Science group at the National Institute of Physics, University of the Philiippines Diliman. I studied epidemiological models extensively and came up with a model for the spread of dengue in the Philippines for my thesis.

I hold a master's degree in Applied Mathematics and a bachelor's degree in Physics, magna cum laude, both from the University of the Philiippines Diliman.

My main programming tool is Python. I am experienced with the Python data science and text analytics stack - Pandas, matplotlib, seaborn, scikit-learn, BeautifulSoup, NLTK, and Gensim, among others. I am also proficient in R and the big data tools of the Google Cloud Platform.

I also started a blog on the intersection of data science and media analysis (datameetsmedia.com). I have articles on the mathematics of Survivor voting alliances, sentiment analysis of Black Mirror episodes, and a lot more. Check it out if you're interested.

Work Terms

I can communicate via chat, email, sms, skype, phone, etc. I can work up to 30 hrs per week with no previous commitments.