Chiraz Benabdelkader, Phd, Mph
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Chiraz Benabdelkader, Phd, Mph Email & Phone Number

Pro Bono Data Scientist and Statistical Consultant at Statistics Without Borders
Location: New York, United States 6 work roles 3 schools
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Role
Pro Bono Data Scientist and Statistical Consultant
Location
New York, United States

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Chiraz Benabdelkader, Phd, Mph is listed as Pro Bono Data Scientist and Statistical Consultant at Statistics Without Borders, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Chiraz Benabdelkader, Phd, Mph.

Chiraz Benabdelkader, Phd, Mph previously worked as Pro Bono Data Scientist & Statistical Consultant at Statistics Without Borders and Research Data Scientist (Global Women's Health Research Unit, Dept of OBGYN, Medical School) at University Of North Carolina At Chapel Hill. Chiraz Benabdelkader, Phd, Mph holds Master Of Public Health (Mph), Public Health from University Of North Carolina At Chapel Hill.

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About Chiraz Benabdelkader, Phd, Mph

Former academic turned data scientist with extensive experience across research, industry, and non-profit sectors. A natural 'data detective' and visual storyteller, seeking to further leverage and expand my applied data science expertise in areas of high societal impact—particularly at the intersection of Responsible AI, Public Health, and Healthcare. #AIForGood #AIEthics #Responsible AIKey Achievements- Developed a deep learning-based framework in Python, categorizing over 2 million fetal ultrasound images for AI-driven healthcare research. The model contributed to explainable AI tools designed to improve diagnostic accuracy in perinatal care, earning a Best Paper Award.- Audited 5,000+ lines of code for processing healthcare data, triggering a complete overhaul of the data pipeline architecture that doubled workflow efficiency and improved processing accuracy.- Served as technical lead in interdisciplinary effort to clean, wrangle, and integrate noisy data streams for a clinical study of 10,000+ pregnant women, delivering high-quality datasets that informed AI-driven perinatal care protocols in global low-resource settings.- Monitored, evaluated, and maintained AI/ML production models for applications in high-volume data environments, increasing business revenue by 10%.Top Skills- Programming Languages: Python, R, SQL, C/C++, Java- Data Analysis Platforms: Jupyter Notebook, RStudio, Excel- Data Visualization: Matplotlib, Seaborn, ggplot, Tableau- Machine Learning: Regression, Classification, Clustering, Natural Language Processing, Text Analytics, Deep Learning (basic)- Big Data: NoSQL, MongoDB, Apache Hadoop (basic)- Other: Git, GitHub, Shell Scripting, Unix/Linux

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Statistics Without Borders
Statistics Without Borders
Pro Bono Data Scientist and Statistical Consultant
New York, NY, US
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6 roles

Chiraz Benabdelkader, Phd, Mph work experience

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Pro Bono Data Scientist & Statistical Consultant

Current

Delivered advanced data analysis services to over five non-profit organizations globally, collaborating with data professionals and client stakeholders to deliver actionable insights.Key achievements:• Processed over 85,000 household survey responses pertaining to the assessment of UNICEF's humanitarian response in Afghanistan using R and ggplot. Developed complex data preprocessing algorithms for harmonized coding and created visual summaries of key public health indicators (WaSH), offering insights for more in-depth future analysis.• Conducted a comprehensive analysis in Python of 700+ survey responses for a mental health program in Australia. Applied advanced techniques, including sentiment analysis and statistical hypothesis testing. Findings helped optimize the organization's data collection and preparation processes and strengthen its capacity to produce data-driven investor impact reports.

Feb 2022 - Present

Research Data Scientist (Global Women'S Health Research Unit, Dept Of Obgyn, Medical School)

Chapel Hill, North Carolina, United States

Curated, wrangled, and analyzed large volumes of complex pregnancy-related clinical and medical device data to improve perinatal outcomes, collaborating closely with clinicians and research scientists. Key achievements: - Created and evaluated machine learning models using Python for grouping fetal ultrasound images into anatomical categories, culminating in a best paper award. - Developed text analytics methods in Python to extract key information from 120k+ clinical ultrasound reports. - Designed algorithms in Python and R to analyze maternal and fetal vitals of over 10k pregnant women recorded during labor via wearable sensors. - Led comprehensive reviews of a codebase comprising thousands of lines in SAS, Python, and Stata; Delivered improvements in the efficiency and accuracy of the organization’s data workflows, combined with detailed documentation, including flowcharts, data dictionaries, and process descriptions.

Jun 2022 - Jun 2024

Graduate Research Assistant (Academic Affairs, Gillings School Of Global Public Health)

Chapel Hill, North Carolina, United States

Supported data-driven curriculum evaluation projects, contributing to collecting, cleaning, and validating academic and curricular data such as student surveys and faculty information.

Aug 2021 - May 2022

Machine Learning Engineer

Washington, District Of Columbia, United States

Developed, monitored, and maintained production models to optimize agent-customer matching at call centers for major US telecom operators, leading to increased business revenue.Key achievements: - Authored over 3,000 lines of code in Python, SQL, and R for data validation, pre-deployment testing, model deployment, and performance monitoring. - Identified and resolved complex bugs in large R codebases, enhancing the development and performance of production models.

Jul 2020 - Aug 2021

Assistant Professor Of Computer Science

National School Of Computer Sciences Of Manouba (Ensi)

Manouba, Tunisia

Taught basic and advanced Computer Science courses, including programming languages, algorithm design and analysis, data structures, and data science.Key achievements: - Launched and taught introductory Master-level courses on data mining and Big data using Python and R. - Supervised 5+ capstone projects annually in collaboration with local IT companies, guiding students through all stages of their capstone projects, from problem framing to final report writing.

Sep 2012 - Jul 2020
3 education records

Chiraz Benabdelkader, Phd, Mph education

Phd, Computer Science

· Thesis Title: Gait as a biometric for person identification in video sequences · Advisor: Prof. Larry S. Davis

Bachelor Of Science (Bs), Computer Engineering, 3.93/4.0 With Honors.

Activities and Societies: Tau Beta Pi honor society Eta Kappa Nu honor society

FAQ

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What company does Chiraz Benabdelkader, Phd, Mph work for?

Chiraz Benabdelkader, Phd, Mph works for Statistics Without Borders.

What is Chiraz Benabdelkader, Phd, Mph's role at Statistics Without Borders?

Chiraz Benabdelkader, Phd, Mph is listed as Pro Bono Data Scientist and Statistical Consultant at Statistics Without Borders.

Where is Chiraz Benabdelkader, Phd, Mph based?

Chiraz Benabdelkader, Phd, Mph is based in New York, United States while working with Statistics Without Borders.

What companies has Chiraz Benabdelkader, Phd, Mph worked for?

Chiraz Benabdelkader, Phd, Mph has worked for Statistics Without Borders, University Of North Carolina At Chapel Hill, Afiniti, and National School Of Computer Sciences Of Manouba (Ensi).

How can I contact Chiraz Benabdelkader, Phd, Mph?

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What schools did Chiraz Benabdelkader, Phd, Mph attend?

Chiraz Benabdelkader, Phd, Mph holds Master Of Public Health (Mph), Public Health from University Of North Carolina At Chapel Hill.

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