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Muhammad Nur Arasy
Accountant
Date of Birth
23 April 1996
Jakarta, Indonesia
Profile
BMA staff member at TRANSTV, dedicated to ensuring the financial health and stability of the company. However, my passion for data science has inspired me to learn and unlock new possibilities.
Contact Details
Kayu Putih, Jakarta Timur, Indonesia
+62-815 - 1747 -5257
https://github.com/muhammadnurarasy
Employment History
Budgeting & Management Accounting • TRANS TV
November 2018 - Present
- Generated monthly report for management.
- Developed and implemented procedures for accounts payable to improve accuracy and reduce processing time.
- Processed financial transactions and maintained accurate records, resulting in the successful completion of the company's annual audit.
- Maintained and organized filling system for financial documents.
- Collaborated with other departments to resolve invoicing issues.
- Handled account payable, resulting in reduce overdue payments.
- Developed and implemented internal controls that improved data security and prevented fraudulent activities.
Skills
Python Tensorflow Kubernetes Docker Azure
Visual Studio Code MySQL HTML Excel Tableau
Education
Trisakti University
Accounting
2014 - 2018
SMAN 21 Jakarta
IPA
2011 - 2014
Courses
CS50 Certificates, Harvard CS50
December 2023
IBM Data Science Specialization, IBM
June 2023
Brevet Tax A & B, IAI
March 2017
English Course, LBPP LIA
2011 - 2014
Language
- Indonesia - Native
- English - Professional
Portfolio
Data Science Project
By incorporating machine learning, my project represents an intersection of real estate and cutting-edge technology. This not only demonstrates my technical skills but also contributes to the field by providing a real solution.
Interviewer Bot Beta
Interview Bot Beta is a cutting-edge AI-powered chatbot designed to streamline the recruitment process for both employers and job seekers.
https://mediafiles.botpress.cloud/027f716a-7b16-49e6-b8f1-7d8deb64f5a3/webchat/bot.html
Rent House Chat Bot Admin
Chat bot that answers certain question regarding specifics knowledge of training (In this case I'm using Kost Atika Kemayoran).
https://mediafiles.botpress.cloud/2ce85a19-d01e-4acd-8b79-85624b15d574/webchat/bot.html
Sentiment Analyzer
My first ML model to predict sentiment analysis (English Language Only). By Empowering pre-trained model, free available dataset and utilizing Gradio Hugging Face
Credit & Debit card checker
One of CS50 Assignment project using Google Colab and publishing it through Gradio & Hugging Face. The main function of this app is to check the validity of debit or credit card (Amex, Visa, Mastercard)
Tideman Voting System
Voters rank candidates in order of preference.
Pairwise comparisons are made between each candidate, for each pair of candidates, the algorithm checks who is preferred by comparing the voters' ranked preferences, the source node (i.e. the node with no incoming edges) in the resulting graph is the winner, representing the most preferred candidate.
Muhammad Nur Arasy
Accountant
Date of Birth
23 April 1996
Jakarta, Indonesia
Profile
BMA staff member at TRANSTV, dedicated to ensuring the financial health and stability of the company. However, my passion for data science has inspired me to learn and unlock new possibilities.
Contact Details
Kayu Putih, Jakarta Timur, Indonesia
+62-815 - 1747 -5257
https://github.com/muhammadnurarasy
Employment History
Budgeting & Management Accounting • TRANS TV
November 2018 - Present
- Generated monthly report for management.
- Developed and implemented procedures for accounts payable to improve accuracy and reduce processing time.
- Processed financial transactions and maintained accurate records, resulting in the successful completion of the company's annual audit.
- Maintained and organized filling system for financial documents.
- Collaborated with other departments to resolve invoicing issues.
- Handled account payable, resulting in reduce overdue payments.
- Developed and implemented internal controls that improved data security and prevented fraudulent activities.
Skills
Python Tensorflow Kubernetes Docker Azure
Visual Studio Code MySQL HTML Excel Tableau
Education
Trisakti University
Accounting
2014 - 2018
SMAN 21 Jakarta
IPA
2011 - 2014
Courses
CS50 Certificates, Harvard CS50
December 2023
IBM Data Science Specialization, IBM
June 2023
Brevet Tax A & B, IAI
March 2017
English Course, LBPP LIA
2011 - 2014
Language
- Indonesia - Native
- English - Professional
Portfolio
Data Science Project
By incorporating machine learning, my project represents an intersection of real estate and cutting-edge technology. This not only demonstrates my technical skills but also contributes to the field by providing a real solution.
Interviewer Bot Beta
Interview Bot Beta is a cutting-edge AI-powered chatbot designed to streamline the recruitment process for both employers and job seekers.
https://mediafiles.botpress.cloud/027f716a-7b16-49e6-b8f1-7d8deb64f5a3/webchat/bot.html
Rent House Chat Bot Admin
Chat bot that answers certain question regarding specifics knowledge of training (In this case I'm using Kost Atika Kemayoran).
https://mediafiles.botpress.cloud/2ce85a19-d01e-4acd-8b79-85624b15d574/webchat/bot.html
Sentiment Analyzer
My first ML model to predict sentiment analysis (English Language Only). By Empowering pre-trained model, free available dataset and utilizing Gradio Hugging Face
Credit & Debit card checker
One of CS50 Assignment project using Google Colab and publishing it through Gradio & Hugging Face. The main function of this app is to check the validity of debit or credit card (Amex, Visa, Mastercard)
Tideman Voting System
Voters rank candidates in order of preference.
Pairwise comparisons are made between each candidate, for each pair of candidates, the algorithm checks who is preferred by comparing the voters' ranked preferences, the source node (i.e. the node with no incoming edges) in the resulting graph is the winner, representing the most preferred candidate.