Top Talent like Muhammad are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Muhammad Abduh

Data Analyst • Data Engineer • AI & Machine Learning Engineer • Makassar, South Sulawesi, ID
Miscosoft Visual Studio
pandas
R Studio
NumPy
Microsoft Office
Jupyter Notebook
PyTorch
Django
AI
Software Development
Deep Learning
Computer Vision
Machine Learning
Visual Basic
TensorBoard
Tensorflow
Microsoft Excel
Python
Available for hire fromNegotiable
Contracts
Data Scientist for genetic and medicine research
With a background in laborant work at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi and experience as a junior researcher at Sakarya University, I am dedicated to contributing to the field of healthcare and research. My time at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi allowed me to gain hands-on experience in a clinical setting, while my role at Sakarya University honed my research skills. I am passionate about utilizing my education and experience to make meaningful contributions in the healthcare and research sectors.

Projects

detecting Lung cancer with computer vision and deeplearning

The Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) lung cancer dataset was collected in the above-mentioned specialist hospitals over a period of three months in fall 2019. It includes CT scans of patients diagnosed with lung cancer in different stages, as well as healthy subjects. IQ-OTH/NCCD slides were marked by oncologists and radiologists in these two centers. The dataset contains a total of 1190 images representing CT scan slices of 110 cases (see Figure 1). These cases are grouped into three classes: normal, benign, and malignant. of these, 40 cases are diagnosed as malignant; 15 cases diagnosed with benign; and 55 cases classified as normal cases. The CT scans were originally collected in DICOM format. The scanner used is SOMATOM from Siemens. CT protocol includes: 120 kV, slice thickness of 1 mm, with window width ranging from 350 to 1200 HU and window center from 50 to 600 were used for reading. with breath hold at full inspiration. All images were de-identified before performing analysis. Written consent was waived by the oversight review board. The study was approved by the institutional review board of participating medical centers. Each scan contains several slices. The number of these slices range from 80 to 200 slices, each of them represents an image of the human chest with different sides and angles. The 110 cases vary in gender, age, educational attainment, area of residence and living status. Some of them are employees of the Iraqi ministries of Transport and Oil, others are farmers and gainers. Most of them come from places in the middle region of Iraq, particularly, the provinces of Baghdad, Wasit, Diyala, Salahuddin, and Babylon.See More

Work History

T

Laborant

TC Sağlık Bakanlığı Yenikent Devlet HastanesiJul 2023 - Aug 2023 • 2 mosWorked as a laborant at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi.
S

Junior Researcher

Sakarya UniversityFeb 2023 - Jun 2023 • 5 mosWorked as a junior researcher at Sakarya University.

Education

S

Sakarya University

Bachelor of Science, Biology

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Data Scientist for genetic and medicine research
With a background in laborant work at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi and experience as a junior researcher at Sakarya University, I am dedicated to contributing to the field of healthcare and research. My time at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi allowed me to gain hands-on experience in a clinical setting, while my role at Sakarya University honed my research skills. I am passionate about utilizing my education and experience to make meaningful contributions in the healthcare and research sectors.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Muhammad are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Muhammad Abduh

Data Analyst • Data Engineer • AI & Machine Learning Engineer • Makassar, South Sulawesi, ID
Miscosoft Visual Studio
pandas
R Studio
NumPy
Microsoft Office
Jupyter Notebook
PyTorch
Django
AI
Software Development
Deep Learning
Computer Vision
Machine Learning
Visual Basic
TensorBoard
Tensorflow
Microsoft Excel
Python
Available for hire fromNegotiable
Contracts

Projects

detecting Lung cancer with computer vision and deeplearning

The Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) lung cancer dataset was collected in the above-mentioned specialist hospitals over a period of three months in fall 2019. It includes CT scans of patients diagnosed with lung cancer in different stages, as well as healthy subjects. IQ-OTH/NCCD slides were marked by oncologists and radiologists in these two centers. The dataset contains a total of 1190 images representing CT scan slices of 110 cases (see Figure 1). These cases are grouped into three classes: normal, benign, and malignant. of these, 40 cases are diagnosed as malignant; 15 cases diagnosed with benign; and 55 cases classified as normal cases. The CT scans were originally collected in DICOM format. The scanner used is SOMATOM from Siemens. CT protocol includes: 120 kV, slice thickness of 1 mm, with window width ranging from 350 to 1200 HU and window center from 50 to 600 were used for reading. with breath hold at full inspiration. All images were de-identified before performing analysis. Written consent was waived by the oversight review board. The study was approved by the institutional review board of participating medical centers. Each scan contains several slices. The number of these slices range from 80 to 200 slices, each of them represents an image of the human chest with different sides and angles. The 110 cases vary in gender, age, educational attainment, area of residence and living status. Some of them are employees of the Iraqi ministries of Transport and Oil, others are farmers and gainers. Most of them come from places in the middle region of Iraq, particularly, the provinces of Baghdad, Wasit, Diyala, Salahuddin, and Babylon.

Work History

T

Laborant

TC Sağlık Bakanlığı Yenikent Devlet HastanesiJul 2023 - Aug 2023 • 2 mosWorked as a laborant at TC Sağlık Bakanlığı Yenikent Devlet Hastanesi.
S

Junior Researcher

Sakarya UniversityFeb 2023 - Jun 2023 • 5 mosWorked as a junior researcher at Sakarya University.

Education

S

Sakarya University

Bachelor of Science, Biology

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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