I have ~3 years of experience working in Data Science and Analytics at tech corporations and startups across multiple industries, including Telecomunications, Digital News, and E-Commerce. I am passionate about building impactful Machine Learning products and driving business strategies and growth through data-driven analysis.

I have developed strong competencies in product analytics, including ad-hoc analysis, statistical inference, A/B testing, and visualization dashboards. My technical expertise includes SQL, Python, R, Tableau, Power BI, Metabase, and I am familiar with various database and platforms, including Google Cloud Platform, HDFS, Aerospike, MySQL, PostgreSQL, and ElasticSearch.

In my portfolio below, I'd like to share some of my projects I completed so far that I found interesting. I also attach the links to my resume and tech blog on Medium. Hope you enjoy reading them!

• RESUME
• TECH BLOG

Let's Dive In!

Featured Projects

Spotify Analysis: Compare Music Taste

Discover how my music taste on Spotify changes between now and then by analyzing "On Repeat" and "Repeat Rewind" playlists (Python).

Human Resources Tableau Dashboard

An interactive dashboard with Tableau - visualize HR data (Tableau).

A/B Testing

Final project from Udacity's A/B Testing Course (Python).

Hotel Booking Power BI Dashboard

An interactive dashboard with Power BI - visualize hotel booking data (Power BI).

Grain Yields: R Analysis

Converting measurement units, plotting & modeling on Grain Yields data (R).

Generating Keywords for Google Ads

Automatically generate keywords for a search engine marketing campaign (Python).

The History of Lego

Use a variety of data manipulation techniques to explore different aspects of Lego's history (Python).

TV, Halftime Shows, and the Big Game

Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows (R).