Part-Time Data Scientist for Ethi as a Menon Fellow at Menon Labs
remote (Nov 2020 - Aug 2021)
Through the Menon Labs Program, I was teamed with 5 other Menon Fellows from all over the world. The six of us took on different roles and worked together on a project targeted at looking into how Facebook data can predict our mental state. My role in the project was as a Data Scientist. Our team collaborated together on every step of the process, from ideation to producing a working full-stack solution. The project, entitled Tie Strength & Well-Being, recognizes that an individual's mental well-being is significantly influenced by tie strengths (i.e., how strong our ties are with family, friends, and acquaintances). Thus, the project sought to use data from a Facebook user's data to derive predictions and analyses of their tie strengths.
The final project was evaluated by Ethi, a personal data startup that sheds light on the personal digital data that companies collect about us. Our project was chosen for our category to present in a Demo Day. We were later selected by Ethi as the winner across categories and have the opportunity to integrate our project into their existing platform.
5 members of my team continued to work with Ethi for 5 months after the Menon fellowship. We built features in the Ethi product that analyzes specific emotion trends of a user over time based on their chat messages and designed a metric that calculates complex emotions from a user’s measured primary emotions. We also worked with the company's founders to ideate a user-personalized dashboard aimed at providing a comprehensive view of a user’s online presence, digital hygiene, and mental health awareness.
Please check out the profiles/portfolios of my teammates! They are: Jennifer Liu (Project Manager), Janice Ng (Research Lead), Ilana Pelzman-Kern (Frontend Developer), Claudea Jennefer (Data Scientist), and Harini Ramprasad (Data Scientist).
Skills: 3 Sentiment Analysis methods (IBM Watson Tone Analyzer, Empath, VADER Analysis), JuPyter Lab, Python (packages numpy, pandas, etc.)
Junior Data Engineer at Sakay.ph
Previously, Data Science and Software Engineering Intern
Manila, Philippines (Aug 2020 - current)
Mentor: Albert Dizon
Sakay.ph makes commuting easier by collecting data on informal and formal transit routes in and around Metro Manila and presenting these in their app and website. I spent 3 months as a Data Science and Software Engineering Intern at Sakay.ph. For the first two months of my internship, I worked on the Data Science team of the company. After learning data science in my first 2 weeks on the job, I built 2 full-stack data analytics tools for the company. One of which was used to conduct a full ground-transport analysis of the Mega Manila transportation system Public Utility Vehicle Modernization Program implementation. The results of this study are published as a blog post on the company website. The link to the post can be found below.
After my three-month internship, I was evaluated and promoted to a full-time role as a Junior Data Engineer in which I served for 7 months. In this role, I had a more involved role in building more full-stack data analytic tools, mapping new transit routes, and adding features and improvements to the company’s internal front-end and back-end tools.
Technical Skills: Data science and analytics, Geostatistics
Immersion Program Participant at Yamaha Motor Philippines, Inc.
Batangas, Philippines (Aug 2019)
During the summer of 2019, I expanded my knowledge on the design and assembly of motorcycles (more on that below!) in a 2-week program with Yamaha Motor Philippines, Inc. Through the experience, I was able to learn about the day-to-day work in mass-manufacturing and the future of the motorcycle industry in the Philippines, Southeast Asia, and the rest of the world. I was also able to disassemble and reassemble an entire motorcycle and practice motorcycle mechanic service as shown in one of the pictures above.
Skills: industrial manufacturing; motorcycle cleaning and maintenance; modern engine parts, cleaning, and maintenance; machine shop practice; current motorcycle innovations and features