Mohamed Samir

Driven by a curiosity to unravel the stories hidden within data, I am a results-oriented data analyst actively seeking opportunities to apply my skills and contribute to data-driven decision-making. With a Master's degree in Data Analytics and a solid foundation in statistical analysis, data handling, and modeling, I possess the technical expertise to derive valuable insights from complex datasets. Proficient in programming languages such as R and Python, I excel at data manipulation, visualization, and predictive modeling.

My hands-on experience in time series analysis and credit risk modeling equips me with the ability to identify patterns and make data-driven recommendations. With a meticulous approach and a passion for problem-solving, I thrive in collaborative environments that foster innovation and value the power of data analytics. By leveraging my skills and knowledge, I am dedicated to transforming raw data into actionable intelligence that empowers organizations to make informed decisions.

Let's connect and explore how I can contribute to your data-driven success.

R&D Innovation Engineer, iSchool EdTech Nov 2021 – Oct 2022 | Cairo, Egypt

• Utilised Tableau and PowerBI to visualise and present data-driven insights, guiding the design and implementation of modern teaching solutions, thereby enhancing student engagement and learning outcomes.
• Conducted comprehensive data analysis using statistical techniques and tools such as RStudio, uncovering patterns and trends in educational data to evaluate the effectiveness of pedagogical techniques, enabling evidence-based decision-making and continuous improvement.

Cross-Platform Developer, Tays Jun 2021 – Oct 2021 | Cairo, Egypt

• Leveraged data analysis skills to identify user behaviour patterns and optimise the UI/UX design of a cross-platform mobile app developed with React Native.
• Implemented data tracking mechanisms using tools like Google Analytics and Firebase, capturing and analysing user interactions, providing valuable insights for enhancing user experience and engagement.
• Collaborated with backend developers to integrate data pipelines and optimise database structures using SQL, ensuring efficient data flow and data accuracy for analytical purposes.

Cross-Platform Developer, Nabta Health Company Jul 2020 too Jun 2021 | Remotely

• Developed cross-platform mobile applications using React Native, implementing data collection and analysis functionalities.
• Collaborated with teams to deliver the project, utilising tools like Slack and Gitlab for efficient collaboration.
• Employed agile methodologies and tools such as Jira to manage project timelines and ensure seamless collaboration among team members.

Student Technology Assistant, The American University in Cairo Jan 2020 to Oct 2020 | Cairo, Egypt

• Applied data analysis skills using tools like Excel and SPSS to assess the effectiveness of new educational platforms, providing actionable recommendations for improving student outcomes.
• Mentored professors at AUC in the use of new educational platforms to improve student outcomes.

MSc in Data Analytics, University of Brighton Sep 2022 – Sep 2023 | Brighton, UK

Classification: Distinction

Modules include:

• Forecasting and Credit Risk Analysis (Distinction): Throughout this module I gained expertise in time series analysis and credit risk modeling using SAS software. These skills have equipped me to make data-driven decisions and generate insightful reports for stakeholders. I applied these skills in two projects: utilising time series techniques to model and forecast monthly retail sales of sporting goods, and building a credit risk scorecard model using multiple logistic regression and weight of evidence analysis.
• Statistical Data Analysis with R (Merit): In this module, I gained proficiency in data handling, visualization, and programming using R, as well as in probability, statistical inference, and linear regression. Utilizing these skills along with R and RStudio, I analyzed and manipulated the Historical Prices of Cryptocurrencies dataset to investigate price predictability.
• Data Mining (Distinction): Within this module, I honed my Python programming skills and demonstrated my expertise in machine learning algorithms. I transformed raw data into actionable insights using a range of powerful techniques. With Python as my tool of choice, I employed decision trees, Naive Bayes, support vector machines, and ensemble methods like random forests to uncover meaningful patterns, trends, and anomalies.
• Data Management (Merit): In this module, I mastered DBMS, data modeling, and SQL, utilizing tools like MySQL and PowerBI. With a focus on data warehousing, OLAP, business intelligence, and data mining, I gained the skills to extract meaningful insights from complex datasets. Through SQL, I built efficient databases, while leveraging PowerBI, I created compelling visualizations for data analysis. These skills culminated in a high-impact project where I developed a robust data management system.

BSc Computer Engineering, The American University in Cairo 2016 – 2021 | Cairo, Egypt

GPA: 2:2