Fachrul Rozy Saputra Rangkuti | Data Scientist

Fachrul Rozy Saputra Rangkuti

Data Scientist

Based in Jakarta,ID

About

Computer Science Graduate and majoring in Computing Intelligent and Visualization with highly motivated and data-driven individual, hands-on experiences on managing sales and field execution with data analysis trend at global FMCG. Possessing strong analytical, programming and collaboration skills with a passion for utilizing data to solve complex problems, drive business and sustainable growth. Seeking to apply expertise in data analysis, data processing, data governance and reporting to increase the efficiency and accuracy of data processing leading to growth and success. Ability to collaborate with cross-functional teams and deliver data-driven insights that drive revenue growth and operational efficiency.

Skills

Projects

Sentiment Analysis on Movie Reviews Using Ensemble Features and Pearson Correlation Based Feature Selection.

Microblogging especially Twitter has become the media information that is very popular among internet users. Therefore, the microblogging became a source of rich data for opinions and reviews especially on movie reviews. We proposed, sentiment analysis on movie review using ensemble features and BoW

Automatic Speech Recognition to detect voices in field with Connectionist Temporal Classification (CTC)

Automatic Speech Recognition (ASR) is a technology that converts spoken language into written text. It is also commonly referred to as speech-to-text or voice recognition. In Sinarmas we built technology everyday to make digitalization in every organization. This research about ASR offline.

Ramet (Oil Palm Saplings) Detection with YOLOv5: Object Detection

In Sinarmas, we have a huge amount of ramets before they are transferred into pots and shipped throughout Indonesia. The challenge with the ramets themselves is that the ramets located in the trays are difficult to count and select for the next process. Because the placement itself is still random.

Vehicle Monitoring Dashboard

Currently, In Sinarmas we have lots of trucks to transport oil palm spread across Indonesia, but we don't know that these vehicles actually deliver according to the SOP or violate the SOPs that have been made. We cannot directly see the continuous performance of this palm oil delivery.

Sales Performance: Sample Superstore 2021 vs 2022

The Super Store dataset contains data on order details of customers for orders of a superstore in the US. This includes the state, region, order date, shipping date, product ordered etc. Shows sales performance profit with sales in the US in 2021 vs 2022.

Experience

2022-2023

Assistant Area Sales Manager

Orchestrated positive growth for assigned distributors by prioritizing enhanced service quality within stores. Ensured optimal product availability through diligent surveying and increased coverage rate for corporate salesmen. Analysed Unilever's business units within area to identify billed Stock Keeping Units (SKUs), encompassing factors such as Hygiene Factor, Secondary Sales, Assortment, and New Product Development. The focused efforts on these KPIs led to a remarkable Salesman turnover increase of +69% compared to Quarter 1. Led the Distributor team to achieve outstanding overall sales growth by leveraging historical sales data, market trends, seasonality, and other relevant factors, realising significant improvements in Salesman productivity with a +24% increase in call rate.

2022-2022

Digital Analytics

Collaborated with cross-functional teams, including Artificial Intelligence, Biotechnology, and Operations to integrate machine learning in oil palm environment and to gather information also insights that will drive machine learning model with focusing on added value solutions and strategic impact. Led and Explored for automatic speech recognition project, discovered model with under 10% word error rate, showcasing AI proficiency and enhanced communication and accessibility. Develop and maintain automatic speech recognition model, adjusting parameters as needed to improve automatic speech recognition accuracy.

Education

2014-2018

Informatic Engineering at University of Brawijaya

Relevant Coursework: Data Mining, Text Mining, Natural Language Processing, Information Retrieval, Machine Learning, Probability & Discrete Mathematics. Publication: F. R. Saputra Rangkuti, M. A. Fauzi, Y. A. Sari and E. D. L. Sari, "Sentiment Analysis on Movie Reviews Using Ensemble Features and Pearson Correlation Based Feature Selection," 2018 International Conference on Sustainable Information Engineering and Technology (SIET), Malang, Indonesia, 2018, pp. 88-91, doi: 10.1109/SIET.2018.8693211.