Johnny Bae

Gopuff represented everything a hyper growth startup wants to achieve to gain as many new users and become a household brand. In 2021, the fast delivery convenience space proved ultra competitive to gain as many new users similar to the era of Uber/Lyft.

I joined in Aug to optimize and scale their monthly digital budget of 3-5MM through data driven methodologies. This proved to be a difficult, but exciting challenge as digital attribution hit a wall from IOS privacy rules.

Through geo holdout testing, channel based incrementality, and an in house estimation methodology, we were able to grow the business significantly and achieve over a 53% reduction in acquisition costs.

Nowhere else did I feel more a part of a team in driving these big initiatives. From launching in NYC with billboards in times square to a quartertime show with Lil Dicky, everyone in marketing came together to create the big moments and generate new users for the company.

BlockFi is one of the only safe and trustworthy crypto wealth asset management systems in the world. I built with a great group of colleagues the foundation needed to create a faster data driven company in both marketing and product.

Initially, the company operated under many excel sheets, but we were able to start ingesting that data into a database, clean and massage to consolidate and unify across all teams, and provide key insights and reporting that will be distributed to stakeholders and investors.

After these pipelines were made, I brought the data to marketing in optimizing both campaigns and honing in our users. Through the use of GA information and internal sources, I created distinct customer profiles to allow executives to segment and market better to these audiences.

Knotel is the world’s leading flexible workspace platform that matches, tailors and manages space for customers. Knotel caters to established and growing companies, giving them the freedom to focus on their business, culture, and people. With over 4 million square feet across 200 locations in four continents, Knotel is transforming commercial real estate and moving companies forward.

Knotel was founded in 2016 to give businesses the flexibility and speed to scale on their own terms. All Knotel spaces are tailored to the needs of each individual company by an in-house team of architects, interior designers, and workplace strategists. For more information, please visit www.knotel.com.

To improve my technical abilities and my knowledge of online marketing, I accepted an offer as a data analyst. Criteo allows the best display retargeting compared to any other agency in the space. For example, if a shopper browsed Nike shoes and left the website, Criteo would effectively be able to retarget that user on other websites and convert the shopper higher than any other company through it’s predictive modeling.

Here, I honed my craft in data analysis. It initially started with simple SQL queries, but continually evolved to now conducting and analyzing gigabytes of data to allow a company to receive meaningful information of what type of shoppers, how long do they shop, what do they shop for, when was the last time they visited, what do similar shoppers browse, what do similar shoppers browse on other website, and more.

Criteo enabled me to fully test my analytical thinking capabilities and creating a tangible and meaningful analysis from dense and murky data, which was fully exhibited in winning the 2019 hackathon.

Hypeconcerts combined my love of concerts and my desire to bring more insights and knowledge of the NY music scene. Here i created a website that aggregated concert events I found most exciting (hype). On the back end, I also setup foundations to create a middleman exchange of tickets that would sell too fast in the first marketplace.

Due to Corona, the project has been paused, but I look forward to starting it again in the future.

An enticing offer to become a manager at the age of 24 was offered to me at this company which I eagerly accepted.

Here I assisted in helping the company achieve a multi-branded marketing strategy by providing the necessary data and actionable insights. Additional emphasis was placed on a product called “Passports” - the amazon prime for flowers.

Helping a company improve cross-sell from selling both flowers and a fruit basket was very rewarding, but admittedly at a title that I was not ready to partake. Due to this, I looked for a role where I could challenge my technical skills even further and learn as much about as many industries as possible.

At Priceline.com, I learned the foundations of online marketing. Working with a generous online marketing budget, our team created, tested, analyzed, and all other data related things to create (1) high volume of bookings and (2) consistent ROI for the inventory we would purchase. Here I learned the foundations of PPC/SEM/SEO/Online Marketing Mix/Attribution Modeling.

In addition, this opportunity allowed me to grow my personal technical skills in many different ways. Here I learned the foundations of Tableau and data visualization, advanced SQL querying, and my first encounter with large datasets in Hive. Mixing both the industry and technical knowledge here prepped me for a continued interest and exploration of the online marketing analytics space.

CMU was a place where engineers, bankers, and artists come to obtain the skills to not just be good, but great at what they do. As an eager and cocky high schooler, I did the exact same.

Yet, working at the hot dog stand is where I learned the most about something that was missing in the classes; empathy.

Regardless of intelligence, ego, charisma, dress, and any other shallow way to judge each other Chris and Joe taught me that I am no better and will never be "better" than anyone else. That everyone is trying to be great somehow day by day... and sooner or later everyone has to eat.

I place this in my portfolio because as important as expertise is, treating individuals fairly and equally is a value that I hold highly everyday.

This project came from one of my favorite statistics class; statistical graphics and visualization. For this class, we went through a curriculum that gave a great foundation on how to represent data that is given. This varied from simple barplots, to more uncommon methods such as heat maps or wvioplots. 

In this project, we were given a US census data set. From here, our professor informed us that the goal is to present anything meaningful. It was great because it really allowed our group to start exploring real data sets and test our knowledge in a real life setting. Each of these graphs display the unique aspects we learned regarding the Philadelphia Camden population. 

Most unique about this data set was like every other data set; the cleaning. Census data is projected either by metro zips or by state. Because of this, our team tackled the difficult task of joining two data sets together.