Benedict Aryo

benedictusaryo.github.io

benedictusaryo@outlook.com

BenedictusAryo

benedictus-aryo

benedict.aryo

Jakarta, DKI Jakarta 12430 ID

benedictusaryo@outlook.com

Interests

Artificial Intelligence (Machine Learning, Deep Learning, Neural Networks, Tensorflow, PyTorch), Data Science (Predictive modelling, Analytics), Computer Vision (OpenCV, OpenVINO), Internet of Things (Arduino, Raspberry Pi)

Skills

Languages and Frameworks: Python, Pandas, Numpy, Matplotlib/Seaborn, Plotly

AI and Machine Learning Tools: Pytorch, Tensorflow/Keras, Scikit-learn

Database: SQL Server, MySQL, PostgreSQL, BigQuery

OS & Toolsets: Windows, Linux, Git/GitHub, Google Cloud Platform, Jira, Confluence

ETL & Deployment: Kedro, Hadoop / PySpark, Django, FastAPI, Tornado, Docker

Work Experience

AI/Machine Learning Scientist, LinkAja (PT. Fintek Karya Nusantara)

linkaja.id/

  • Develop OCR(Optical Character Recognition) Model for e-KTP Data Collection to automate eKYC process. This process being used when LinkAja users want to register as Full-Service account.
  • Build Signature Segmentation to extract a signature from e-KTP to be compared with user signature digital input in LinkAja Merchant Registration (eKYM).
  • Using Liveness detection to prevent bank passbook spoofing attacks in merchant registration
  • Provide Face Search Solution to help Fraud Analytics Team catch identity theft and duplicated user registers for Prakerja and Bansos.

2021 - pres

Data Scientist, Asia Pulp & Paper Sinarmas

asiapulppaper.com/

  • Develop image detection for forestry plantation for tree counting, blank spot detection, and weed detection from drone geo image.
  • Build and deploy demand forecasting using machine learning for hundreds of Univenus tissue products both distributor level and national level.
  • Provide report automation to make sales related decision making much easier, such as forecast vs inquiry report and order intake vs good issued.
  • Deliver ad-hoc analysis such as distributor inventory optimization and promotion effectiveness

2020 - 2021

Data Scientist, Renom Infrastruktur Indonesia

rii.ai

  • Deliver AI Solutions to the customer using ReNom Machine Learning framework.
    Provide Data Analytics solutions using predictive modelling based on customer business need.
  • Provide Data Analytics & Recommendation using predictive modelling based on customer business need.
  • Utilize ReNom Products such as Image Analysis, Object Detection in Computer Vision or Regression Model based on business problems.
  • Giving Data Science Training organized by Make-AI to individuals or corporate training.
    Become Speaker to Universities/ Organization about Data Science, and it’s application.

2018 - 2020

Network Engineer, Packet Systems Indonesia

www.packet-systems.com/

  • Deliver Netscout© Probing and Geoanalytic Solutions in Smartfren Telecom to solve production network issues and achieving 4G LTE KPI optimization by tackling Network Visibility challenges.
  • Utilize network analysis tools in large amount of data, such as Netscout Subscriber Intelligence, NGOne, or Wireshark, then finalize it with Excel to provide 4G Network Forensic Analysis for troubleshooting or Preventive maintenance.

2016 - 2018

Education

Mercu Buana University

S.T. , Electrical Engineering

2016 - 2018

Telkom Institute Technology Purwokerto

A.Md. , Telecommunication Engineering

2012 - 2015

Achievement

Finalist of Intel OpenVINO Hackaton 2019, Synnex Metrodata Indonesia,

Deliver market ready solutions using OpenVINO AI & Computer Vision to optimize Advertising campaign.

Intel Edge AI Scholarship Foundation, Udacity, 2019

Training on how to develop Edge Application

References

Available upon request