Data Scientist

• Aug 2021 - Present

Data Entry Assistant

• Apr 2021 - May 2021

• Created 100+ georeferenced digital maps based on manual maps from the national census and google maps using QGIS • Loaded add point features on 10,000+ residents in accordance with resident’s geospatial data • Created 100+ georeferenced digital maps based on manual maps from the national census and google maps using QGIS • Loaded add point features on 10,000+ residents in accordance with resident’s geospatial data

Data Analytics

• Oct 2020 - Jan 2021

KPMG Virtual Internship Experience Organized by Forage Objective : - Targeting new valuable customers. - Engaging new customers using brand-demographic cluster interaction on the existing customers. Task: - Data quality analysis using standard data quality dimensions. - Data exploration: 1. conducting data cleaning. 2. feature engineering using RFM analysis and adding some possible useful feature. 3. Making demographic clusters using K-means clustering optimized by principal component analysis. - Data interpretation 1. Existing customer demographic cluster-RFM segmentation interaction 2. Existing customer demographic cluster-Brand interaction. For more information, kindly see my porto on this project : https://gama-gilang.medium.com/kpmg-virtual-internship-experience-customer-demographics-clustering-875af8c94977 Show less

Field Researcher

• Jun 2020 - Jan 2021

• Identified 6 out of 10 variables affecting specific steam consumption using data mining approach • Solved future uncertainty in geothermal steam supply sales contract that yields to company losses by developing geothermal power plant performance prediction using artificial intelligence. The predictive model outperformed the previous research with a 0.098 mean absolute error • Identified 6 out of 10 variables affecting specific steam consumption using data mining approach • Solved future uncertainty in geothermal steam supply sales contract that yields to company losses by developing geothermal power plant performance prediction using artificial intelligence. The predictive model outperformed the previous research with a 0.098 mean absolute error

Maintenance Intern

• Aug 2019 - Aug 2019

Task : • Support technician to calibrate instruments at the power plants. • Support senior supervisor by conducting modeling dynamic condensate level in the steam condenser and developing the condensate level control system in steam condenser using Matlab software. • Conducting preliminary research on estimating geothermal power plant efficiency using artificial intelligence. Task : • Support technician to calibrate instruments at the power plants. • Support senior supervisor by conducting modeling dynamic condensate level in the steam condenser and developing the condensate level control system in steam condenser using Matlab software. • Conducting preliminary research on estimating geothermal power plant efficiency using artificial intelligence.