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4-6 years
6-10 years
10-15 years
More than 15 years
Past
Auto Electrician @PT Merdeka Copper Gold Tbk2022 ~ Present
・
Auto electrician
Within six months
Agus Hery Suprapto Auto Electrician Experienced. Bismillah. I have experience 8 years in Auto Electrician Heavy Equipment Caterpillar, Liebherr, Hitachi, Volvo, Komatsu, JCB, Bomag, and XCMG brands in surface copper and gold mining and coal mining company. I am graduated from a reputable the University in Indonesia atI am familiar with using ET Tools for Caterpillar, SIS CAT programs, until INSITE tools for Cummin engine diagnostics. I can also read electrical and hydraulic schematics, and interprets fault codes on the units. I am familiar with using analog or digital multimeter, clamp meter, powertools like hytorc
Unemployed
Full-time / Interested in working remotely
6-10 years
Universitas Ahmad Dahlan
・
Electrical Engineering
工程師 @CECI Engineering Consultants, Inc. Taiwan (台灣世曦工程顧問股份有限公司)2020 ~ Present
・
Geologist
More than one year
cases, reduced contractor expenses by 10% per year. Collaborated with 10+ members to execute the project about soil liquefaction analysis and risk assessment in Taiwan. Negotiated with contractors, optimized the drilling procedures and was responsible for schedule management in Taoyuan City. Site Coordinator •PT. KTC Coal Mining & Energy (Indonesia) JanDec 2019 Supervised a group of over 300 employees with a total production capacity of 3 million MT, finished the final stage of the project within costing controlled, and exceeded production plans by 4% per year. Reduced fuel cost loss by 20% by analyzing the
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣大學
・
Geoscience
Mine Planning Engineer @PT. Sulawesi Cahaya Mineral2018 ~ Present
・
Mining / Mine Plan Engineer
Within one month
M.Sc.) in Mining Engineering with 5+ working experiences in Indonesia Coal and Nickel Mining Industries that Passionate in Mine Design plus Vulcan9, Minex6.4, Surpac6.6 scheduling software proficiency, and Business Development of mine-to-port operational performance Tableau analysis. Expert in data mining and scientist using Pivot + Visual Basic Excel, transforming into an interactive PowerPoint Think Cell + Tableau dashboard with a Gantt chart MS Project plan to deliver a quick-win result. Proven record as mining project manager for project accomplishments and presenting to BoD & Stakeholder. Mining /
Full-time / Interested in working remotely
4-6 years
Institut Teknologi Bandung
・
Mining Engineering, Mine Environmental Management
Finance & accounting- Mining Coal @PT. Barakarsa Sukses Sejahtera2023 ~ 2024
・
HRGA Manager
Within one month
Mulia Pradana Finance Acounting , Generail Affair dan Purchasing Logistik No Telpon /WAMuara Bulian, Batang Hari Regency, Jambi, Indonesia Saya Merupakan Lulusan S1 Sekolah Tinggi Ilmu Ekonomi- Palangka Raya Jurusan Manajemen Ekonomi (IPK 3,14). Pengalaman Saya dibidang finance , accouting dengan sistem SAP, Manajemen Asset, dan generail affiar dipertambangan batu bara, Serta pengalaman dibidang Purchasing, Logistick diperkebunan kepala Sawit. Pengalaman Kerja Finance & accounting- Mining Coal • PT. Barakarsa Sukses Sejahtera JuniMaret 2024 • Mengelola Kas kecil dan kas besar menerbitkan dan menerima faktur dari Supplier • Menginput Segala transaksi keuangan. • Membuat laporan keuangan secara priodik (harian, mingguan, bulanan dan
Employed
・
Open to opportunities
Full-time / Remote Only
4-6 years
Sekolah Tinggi Ilmu Ekonomi Palangka Raya
・
Manajemen
Hauling Supervisor @PT Gunung Bara Utama2021 ~ Present
・
Within six months
ANDIKA Mining Engineer Saya memiliki pengalaman bekerja di perusahaan pertambangan batubara selama kurang lebih 5 tahun 10 bulan. Saya pernah bekerja di PT. Bayan Resources Tbk dengan posisi group leader Production Coal Hauling and Processing (3 tahun) dan Mining Geotech Enggineering (8 bulan), PT. Gunung Bara Utama dengan posisi Supervisor Coal Hauling and Road Maintenance (1 tahun).dan saat ini saya bekerja di Paramresources & SinarMas Group PT Indo Bara Pratama posisi Mining Operation Supervisor. Dengan bekal pengalaman ini saya yakin mampu bekerja dibagian Mining Operation, Coal Hauling dan Mining Engineering yang juga didukung dengan skill
Employed
Full-time / Interested in working remotely
4-6 years
Universitas Hasanuddin
・
Mining Engineering
OHS Supervisor @PT. Halmahera Sukses Mineral (Nickel Mining Project in Halmahera, North Mollucas - Indonesia))2022 ~ Present
・
OHS Supervisor
Within two months
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Binawan Institute of Health Science
・
Occupational Health and Safety
Partner @Anthony Ho & Associates1998 ~ 2006
・
CEO
More than one year
. Since 1991, the practice has coordinated and advised on capital raisings, mergers and acquisitions worth more than $250 million. The Practice also provided director and company secretarial services in Australia for companies listed on the stock exchanges of Amsterdam, Singapore, Toronto and London. Skills Mergers and Acquisitions Mining Corporate Governance Business Strategy Management IPO Capital Due Diligence Financial Modeling Minerals Mineral Exploration Portfolio Management Corporate Law Finance Coal Gold Corporate Finance Base Metals Acquisitions Risk Management Coal Website Getting a start in the coal industry in 2000, Sergeant has been instrumental in leading comp...
Not open to opportunities
Full-time / Not interested in working remotely
More than 15 years
Curtin University
・
Corporate AdministrationEmployed
Full-time / Interested in working remotely
6-10 years
東吳大學 Soochow University
・
英國語文Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National University of Kaohsiung
・
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Professions
Data Scientist, Machine Learning Engineer
Fields of Employment
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
Languages
Job search preferences
Positions
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Job types
Full-time
Locations
Remote
Remote Only
Freelance
Educations
School
Major
Ryan Chao
[email protected] • 0978903016 • Taipei, Taiwan
Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.
Experience
PIXNET
Assistant Manager, Aug 2020 - Sep 2022
- Lead data team(Aug 2020 - now)
Lead and manage data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
- Architecture and methodology review for data solutions and various data analytic tasks
- Translate abstract business problems into solvable engineering components
- Project planning and management
- Goal alignment
Advanced Algorithm Engineer, Oct 2017 - Aug 2020
- Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
- I lead the system architecture design
- Handle concurrent traffic from over 5M users everyday
- Leverage google cloud services such as GKE, GAE, and Pub/Sub.
- General algorithm development in large scale (Oct 2017 - now)
Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights. - PySpark dataframe programming
- Recommendation algorithm design, improved and achieved the best performance at that time
- Various classification tasks
- User profile construction with NLP.
- Information retrieval based chat bot
- Data warehousing and ETL management (Feb 2019 - now)
I created some tools(e.g., airfly) to help us management our data more efficiently.
- Based on PySpark
- Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
- Metadata management.
- More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
- BI platform development (April 2019 - Oct 2019)
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
- I was in charge of the competition flow design, data preparation, technical support, and so on.
- For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN at Taiwan R User Group
A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
- I lead the system architecture design
- Handle concurrent traffic from over 5M users everyday
- Leverage google cloud services such as GKE, GAE, and Pub/Sub.
Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
- PySpark dataframe programming
- Recommendation algorithm design, improved and achieved the best performance at that time
- Various classification tasks
- User profile construction with NLP.
- Information retrieval based chat bot
I created some tools(e.g., airfly) to help us management our data more efficiently.
- Based on PySpark
- Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
- Metadata management.
- More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- I was in charge of the competition flow design, data preparation, technical support, and so on.
- For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN at Taiwan R User Group
Former work experiences
Zuirens
Computer Vision Engineer, Sep 2016 - Sep 2017
- Software and hardware integration planning.
- Object detection algorithm development based on OpenCV and C++/Python.
- Application Implementation based on Qt framework.
- Media server deployment for live streaming service.
- Crawler implementation and management.
- Web development planning.
Acuratek
Embedded Application Engineer, May 2015 - Jan 2016
- POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc.
- Android development based on OTG application.
Mechtronic Integration Engineer, Sep 2014 - Sep 2015
- 3-axis servo control with X-Y linear guideway installation.
- Mechatronic system and software integration.
- Application based on C# programming.
CORMA
Interactive Mechatronic Engineer, Aug 2013 - Aug 2014
- Motors and sensors control based on Arduino.
Skills
Programming Languages
mainly Python for now (open-minded to other languages if needed)
Frameworks and Tools
PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.
Others
Linux, Emacs
Side Projects
- airfly: a tool for auto generating Airflow dag file, 2021. [repo]
- gutt: a tool for auto generating unit test template, 2021. [repo]
- Spark CodeFight Hackathon, 2017. [repo]
- OpenCV project for pattern matching and object tracking, 2017 [repo]
- Conversation retrieval based chit-chat bot, 2017. [repo]
- Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]
Awards & Honors
- 2017 PyCon speaker, [slide]
- 2017 HackNTU, Mentor.
- 2016 PIXNET HACKATHON, "Best A.I. Cloze Award".
Activities
- Machine Learning Certification on Coursera, 2015.
- Deep learning 101 Study Group, study topic: RNN, 2017 - now.
- Spark Taiwan Study Group, 2016 - 2017.
Education
National Cheng Kung University, Taiwan
BS, Mechanical Engineering
Ryan Chao
[email protected] • 0978903016 • Taipei, Taiwan
Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.
Experience
PIXNET
Assistant Manager, Aug 2020 - Sep 2022
- Lead data team(Aug 2020 - now)
Lead and manage data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
- Architecture and methodology review for data solutions and various data analytic tasks
- Translate abstract business problems into solvable engineering components
- Project planning and management
- Goal alignment
Advanced Algorithm Engineer, Oct 2017 - Aug 2020
- Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
- I lead the system architecture design
- Handle concurrent traffic from over 5M users everyday
- Leverage google cloud services such as GKE, GAE, and Pub/Sub.
- General algorithm development in large scale (Oct 2017 - now)
Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights. - PySpark dataframe programming
- Recommendation algorithm design, improved and achieved the best performance at that time
- Various classification tasks
- User profile construction with NLP.
- Information retrieval based chat bot
- Data warehousing and ETL management (Feb 2019 - now)
I created some tools(e.g., airfly) to help us management our data more efficiently.
- Based on PySpark
- Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
- Metadata management.
- More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
- BI platform development (April 2019 - Oct 2019)
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
- I was in charge of the competition flow design, data preparation, technical support, and so on.
- For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN at Taiwan R User Group
A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
- I lead the system architecture design
- Handle concurrent traffic from over 5M users everyday
- Leverage google cloud services such as GKE, GAE, and Pub/Sub.
Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
- PySpark dataframe programming
- Recommendation algorithm design, improved and achieved the best performance at that time
- Various classification tasks
- User profile construction with NLP.
- Information retrieval based chat bot
I created some tools(e.g., airfly) to help us management our data more efficiently.
- Based on PySpark
- Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
- Metadata management.
- More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- I was in charge of the competition flow design, data preparation, technical support, and so on.
- For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN at Taiwan R User Group
Former work experiences
Zuirens
Computer Vision Engineer, Sep 2016 - Sep 2017
- Software and hardware integration planning.
- Object detection algorithm development based on OpenCV and C++/Python.
- Application Implementation based on Qt framework.
- Media server deployment for live streaming service.
- Crawler implementation and management.
- Web development planning.
Acuratek
Embedded Application Engineer, May 2015 - Jan 2016
- POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc.
- Android development based on OTG application.
Mechtronic Integration Engineer, Sep 2014 - Sep 2015
- 3-axis servo control with X-Y linear guideway installation.
- Mechatronic system and software integration.
- Application based on C# programming.
CORMA
Interactive Mechatronic Engineer, Aug 2013 - Aug 2014
- Motors and sensors control based on Arduino.
Skills
Programming Languages
mainly Python for now (open-minded to other languages if needed)
Frameworks and Tools
PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.
Others
Linux, Emacs
Side Projects
- airfly: a tool for auto generating Airflow dag file, 2021. [repo]
- gutt: a tool for auto generating unit test template, 2021. [repo]
- Spark CodeFight Hackathon, 2017. [repo]
- OpenCV project for pattern matching and object tracking, 2017 [repo]
- Conversation retrieval based chit-chat bot, 2017. [repo]
- Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]
Awards & Honors
- 2017 PyCon speaker, [slide]
- 2017 HackNTU, Mentor.
- 2016 PIXNET HACKATHON, "Best A.I. Cloze Award".
Activities
- Machine Learning Certification on Coursera, 2015.
- Deep learning 101 Study Group, study topic: RNN, 2017 - now.
- Spark Taiwan Study Group, 2016 - 2017.
Education
National Cheng Kung University, Taiwan
BS, Mechanical Engineering