Maga Raha Sama Siagian

About Me

I am a Bachelor of Industrial Engineering graduate who has a data science certificate issued by
Digital Skola and a professional certificate as Associate Data Science from the Badan Nasional
Sertifikasi Profesi (BNSP).
As a Data Science Associate, I have equipped myself with knowledge of data preprocessing,
data analysis (descriptive, diagnostic, predictive, and prescriptive), data visualization, and
providing business insights. The tools that are used in the training are SQL, Python, and Google
Data Studio. I have also worked on several projects, one of which is the Churn Prediction
Project, which involves developing models or algorithms to identify customers who are likely
to churn or discontinue their relationship with a business or service.
I have also been a involved in bussiness development activities in an IT company where one of
the products is robotic process automation (RPA), and my job is to make presentations that are
attractive and easy to understand, then present them to potential buyers. Completing the
required documents, monitoring the course of the proof-of-concept (POC), and
communicating to ensure good relations with prospective buyers and customers.

Education

S1 2020

Teknik Industri

Data Science 2023

Digital Skola

I can do Explotary Data Analysis (EDA), and Model Development using Python Programming Language. I can also operate PostgreeSQL and Git. I am always interested in learning data and other new things Data Science | Data Science Associate Data Science Program by DigitalSkola (Jan-Apr 2023) a Bootcamp program that also a preparation class for assessment by BNSP to be certified as "Associate Data Science". From this bootcamp, participants are taught the principles to be a data scientist on Data Preprocessing, commencing data analysis ( descriptive, diagnostic, predictive, prescriptive), to Data Visualization and providing business insights. Tools that are used in the training are SQL, Phyton, and Google Data Studio.

Skills

Data Science
91%
machine learning
90%
data visualization
90%