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$65 USD / hour
rochester hills, united states
$65 USD / hour
It's currently 1:06 PM here
Joined February 7, 2022
0 Recommendations

Samer H.


0.0 (0 reviews)
$65 USD / hour
rochester hills, united states
$65 USD / hour
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Data Science, Data Analytics

• Experience in solving data analysis problems independently using statistical knowledge and logical reasoning • Strong data analytics experience using the statistical programming languages R and Python
Freelancer Python Developers United States

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Portfolio Items

I submitted a solution to the NASA challenge. I was the winner of third place in the competition.
Aftershock: NASA Shock Propagation Prediction Challenge
The ROC curves show the classifiers to predict TB from healthy controls and sarcoidosis patients. (a) Performance of 192 clones on test set. (b) Performance of the top 10 classifier clones on the test set. The ROC curves demonstrate excellent classification performance with AUC of 1 with sensitivity of 1 and specificity of 1. This result was presented in a paper I published in 2018:
Perfect classification
Reduce cost by 27%


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Full-time faculty at the Computer Science Department

Davenport University
Jul 2017 - Present
o Teaching: I taught several classes. During this assignment, I taught several topics such as: C# programming, Data structure and algorithms, Perl, Python, Mobile Application Development, Data Analytics, and Object Oriented Programming. o Advising graduate students with their master's projects. In most of the projects, the students implement advanced analysis to identify insights from data.

Data scientist

Aquasight LLC.
Nov 2016 - Jul 2017 (8 months, 2 days)
o During this position, I analyzed large datasets from the Great Lake Water Authority (GLWA) database. I was assigned tasks to reduce operational costs for the wastewater plant in Detroit (one of the largest plants in the world).



Wayne State University, United States 2012 - 2021
(9 years)


Wayne State University, United States 2009 - 2011
(2 years)


Al-Mansour University College, Iraq 1991 - 1995
(4 years)


Methods and approaches in the topology-based analysis of biological pathways.

Frontiers in Physiology
We identify and discuss challenges, arising both in methodology and in pathway representation, including inconsistent terminology, different data formats, lack of meaningful benchmarks, and the lack of tissue and condition specificity.

Platelets and renal failure in the SARS-CoV-2 syndrome

The coronavirus disease 19 (COVID-19) is a highly transmittable viral infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 utilizes metallocarboxyl peptidase angiotensin receptor (ACE) 2 to gain entry into human cells. Our data suggest that activated platelets may play a role in renal failure and possibly hypercoagulability status in COVID19 patients.

Detection of Cystic Fibrosis Serological Biomarkers Using a T7 Phage Display Library.

Scientific Reports
Cystic fibrosis (CF) is an autosomal recessive disorder affecting the cystic fibrosis transmembrane conductance regulator (CFTR). . A microarray platform was constructed and immunoscreened with sera from healthy (n = 49), lung cancer (LC) (n = 31) and CF (n = 31) subjects. For the first time, we show that CF specific serological biomarkers can be identified through immunocreenings of a T7 phage display library with high accuracy, which may have utility in development of molecular therapy.

Novel T7 Phage Display Library Detects Classifiers for Active Mycobacterium Tuberculosis Infection

Tuberculosis (TB) is caused by Mycobacterium tuberculosis (MTB) and transmitted through inhalation of aerosolized droplets. We immunoscreened our microarray platform with sera from healthy (n = 45), smear positive TB (n = 24), and sarcoidosis (n = 107) subjects.The area under receiver operating characteristics (ROC) for the top 10 significant clones was 1 with a sensitivity of 1 and a specificity of 1 when we performed classification.

Identifying biologically relevant putative mechanisms in a given phenotype comparison

A major challenge in life science research is understanding the mechanism involved in a given phenotype. The current data analysis methods focus on the identification of the differentially expressed (DE) genes using their fold change and/or p-values. Here we present a method that can construct networks of genes that can be considered putative mechanisms.

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Python Linux Data Processing Research C# Programming

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