• Identify, design, and automate Human Capital manual operations using Cloud SQL & BigQuery to optimize data delivery, monitor process performance and daily backup.• Build and maintain a human capital database system using SQL Server Management Studio(SSMS) to provide an easier, quick, and accurate report visualization.• Developing and updating technical documentation from Query to help data tracing systems.• Working closely with the Human Capital Information System (HCIS) to support Human Capital smart application.

- Successfully collected 530 image & 150 audio data and translating these data into Bahasa Indonesia in order to develop Artificial Intelligent & Automation on “Moormans” project using Appen Mobile Recording- Successfully conducted 240 word-recordings in English and translating these data into Bahasa Indonesia and ensuring these data followed The Great Dictionary of the Indonesian Language in order to develop voice recognition tools on “Herkey” project.- Successfully collected 108 images of household objects using Appen Data Annotation Platform in order to develop object recognition features.

- Demonstrated the use of datasets images to build and train the image classification using MXnet and Amazon SageMaker. - Successfully passed the course of testing code, logging, conducting code, software engineer principles such as modular code, documentation, refactoring and version control (Git) for data science- Understanding and applied the basic principles of object-orientation programming in the form of classes, attributes and methods for building a Python packages

- Gained knowledge in basic statistical programming using Python, data structure, SQL, basic data quality, intro to data pipeline and intro to data warehouse.- Succeeded 90% the coding, SQL, data quality and data warehouse end test

- Developed machine learning project: image classification using pre-trained model, learning rate and dropout callback padding to understand the influence on the results of accuracy and loss when it applied to the rock paper scissor dataset model.- Created the Python program for Machine Learning using Jupyter Notebook, Google, Colab, IBM Watson and implemented several Python libraries such as Regex, Numpy, Pandas and Argument Parser.- Designed data visualization using Google Sheets and or Google Studio in order to implement the best practice using gestalt principles and pre-attentive attributes to build the data visualization.- Provided great explanation of Style Guide on Python, PEP8 (codes that easily read), code formatting, mix statements, control flow, branches, and syntax error handling.

Forecasted employee best performance in the next 1 year using historical KPI data owned by the company and verified best performance of the multi-class classification problem using AUC (Area Under the Curve) and ROC (Receiver Operating Characteristic)

- Taught basic programming using Arduino to 11th and 12th High School Students to help them operate light sensor, ultrasound sensor, fire sensor and temperature sensor. -Increased average robotics exam score by 85% through small group projects

- Planned, coordinated and executed the roadmap of analyzing points that needs to be done.- Analyzed the land area, rainfall and soil type using ArcGIS 10 software in order to get the map of the most floods and landslide prone areas in Pandeglang.- Created the digital map and conducted the geoprocessing using Shuttle Radar Topography Mission (SRTM30) and communicated all the data and the results with the land resource management lecturer.