Curriculum Vitae Data Scientist in Iraq Baghdad – Free Word Template Download with AI
Personal Information
Name: Ahmed Karim Al-Salehi
Email: [email protected]
Phone: +964 781 234 5678
Location: Baghdad, Iraq
Professional Summary
A highly motivated Data Scientist with over seven years of experience in leveraging advanced analytics, machine learning, and data engineering to solve complex business and societal challenges. Proficient in applying cutting-edge methodologies to extract actionable insights from large datasets. Committed to contributing to the growth of Iraq's digital economy by addressing local needs through data-driven solutions. A strong advocate for innovation in Baghdad's emerging tech landscape, with a focus on empowering organizations through data science.
Education
Master of Science in Computer Science
Iraqi University, Baghdad, Iraq | Graduated: 2016
- Thesis: "Optimizing Oil Production Forecasting Using Machine Learning Algorithms."
- Courses: Data Mining, Artificial Intelligence, and Big Data Analytics.
Bachelor of Science in Mathematics
Baghdad University, Baghdad, Iraq | Graduated: 2013
- Focus on statistical modeling and computational mathematics.
- Recognized for academic excellence with a distinction in research projects.
Professional Experience
Data Scientist
Smart Analytics Solutions, Baghdad, Iraq | January 2019 – Present
- Designed and implemented machine learning models to optimize supply chain logistics for a leading e-commerce platform in Iraq.
- Collaborated with government agencies to analyze public health data and predict disease outbreaks using Python and R programming.
- Developed a predictive maintenance system for oil rigs in collaboration with the Iraqi Ministry of Oil, reducing downtime by 20%.
- Conducted market research analyses to support small businesses in Baghdad, using NLP techniques to extract insights from customer feedback.
Data Analyst
FutureTech Iraq, Baghdad, Iraq | June 2017 – December 2018
- Analyzed user behavior data for mobile applications to improve user engagement and retention rates.
- Created dashboards using Tableau and Power BI to visualize sales trends for multinational corporations operating in Iraq.
- Assisted in the development of a real-time traffic monitoring system for Baghdad, integrating IoT data with geospatial analysis.
Research Assistant
Iraqi University, Baghdad, Iraq | January 2016 – May 2017
- Supported faculty in analyzing large-scale datasets for research projects on economic forecasting and urban planning.
- Published a paper titled "Data-Driven Decision Making in Post-War Reconstruction" in the Journal of Iraqi Science and Technology.
Technical Skills
- Programming Languages: Python, R, SQL, JavaScript
- Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow
- Data Visualization: Tableau, Power BI, Matplotlib
- Big Data Technologies: Hadoop, Spark
- Databases: MySQL, MongoDB, PostgreSQL
- Certifications: Google Data Analytics Certificate (2021), AWS Certified Machine Learning – Specialty (2023)
Certifications & Training
- Google Data Analytics Certificate – Google (2021)
- AWS Certified Machine Learning – Specialty – Amazon Web Services (2023)
- Advanced Python for Data Science – Udemy (2020)
- Data Science for Business Professionals – Coursera (2019)
Projects & Achievements
Predictive Maintenance System for Oil Rigs
- Developed a machine learning model to predict equipment failures in oil rigs, reducing maintenance costs by 15%.
- Collaborated with the Iraqi Ministry of Oil and local engineering firms to implement the solution in Baghdad's oil fields.
Baghdad Traffic Monitoring System
- Integrated IoT sensors and geospatial data to create a real-time traffic monitoring platform, improving city planning efficiency.
- Published a case study on the project's impact on urban mobility in Baghdad, presented at the 2022 Iraq Tech Conference.
Public Health Analytics Initiative
- Analyzed healthcare data from Baghdad hospitals to identify patterns in disease outbreaks, aiding government response strategies.
- Received recognition from the Iraqi Ministry of Health for contributions to public health analytics.
Languages & Cultural Competence
- Arabic: Native speaker
- English: Fluent (IELTS 7.5)
- Cultural Awareness: Deep understanding of Iraqi business practices, regional challenges, and opportunities for data science in Baghdad's evolving economy.
References
Available upon request. Contact: [email protected]
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