Harjuno Bramantyo

An Engineer and Data Enthusiast with experience in full stack Digital Marketing.

Welcome to Bram's portfolio! Feel free to scroll or click a button below.

Get to know about Bram

Harjuno Bramantyo (commonly known as Bram) is a Proactive, Collaborative, and Assertive Data Enthusiast. Bram currently working as a Markeåting Coordinator and has grown interest towards data as a middle ground for his current job and his bachelor degree. In which he had taken in Institut Teknologi Bandung (one of the most known educational institution in Indonesia) under the Faculty of Industrial Technology.

Professional Experiences

Bram has shown a high professional and interpersonal skill during his career.

Portfolio

Bram has build his enthusiasm in data since 2020. Initially, he started off to put this interest in excel as a paltform to tell stories that data holds. But in 2022, he decided to explore further in terms of data and python.

K-Means Clustering for User Segmentation based on Behavior

Unsupervised Machine Learning Implementation to Website's user behavior data. With the application of K-Means Clustering, a series of group of users are identified which can be used to optimised future marketing campaign in the website.

Supervised Machine Learning in Revenue Generation based on User’s Web Behavior.

Taking account on user's behavior in a website to predict the critical point of a user's decision making for revenue generation. Based on the approach, a conclusion is taken that Page values is the most affecting aspect with Administrative page as the main source of that value.

Unsupervised Machine Learning for Airline Frequent Flyer Membership

An Implementation of K-means Clustering ML approach in Airline FF membership. From the evaluation, there are 4 cluster. Some actionable insights for marketing team is also present, such as update of membership classification, promotional campaign, and engagement strategy to reach member

Covid-19 Prevention Analysis with SQL

Analysis on marketing data, including demography, purchase history, campaign performance. The output is a campaign strategy that targetted the customer based on their economical background and purchase behavior

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