Data Analytics Graduate | Expertise in Machine Learning & Cybersecurity | Proficient in SQL, Python, and Data Visualization | Committed to Driving Impactful Solutions
With a Master of Science in Data Analytics from the University of Strathclyde and a Bachelor of Science in Economics from Lebanese American University, I bring a unique blend of analytical prowess and strategic thinking to the field of data analytics. My academic background, coupled with hands-on experience in machine learning and cybersecurity, equips me to tackle complex challenges and drive impactful solutions.
During my academic journey, I delved into various facets of data analytics, honing my skills in SQL, Python, and data visualization tools such as Tableau. My projects, including a cybersecurity dissertation exploring machine learning algorithms and a regression modeling project analyzing climate change, reflect my ability to apply theoretical knowledge to real-world scenarios. Notably, my Gold Price Prediction EDA project showcased my proficiency in time series analysis and predictive modeling.
In addition to my academic pursuits, I've gained practical experience as a Data Collector at WhereIsMyTransport and a Data Entry Specialist at Presentail, where I demonstrated my attention to detail and ability to communicate insights effectively. My tenure as an Administration Assistant at LAU further enhanced my analytical skills, enabling me to provide valuable services and analyze data to address customer inquiries.
Outside of my professional endeavors, I am an avid chess player, leveraging the strategic thinking and analytical skills honed in the game to excel in data analysis. My goal to become a Fide Master underscores my dedication to continuous improvement and excellence in every endeavor.
Driven by a passion for leveraging data to drive informed decision-making, I am eager to contribute my expertise to a dynamic team, driving innovation and making a meaningful impact in a challenging data-centric role.
Work Terms
Availability: I am available for work between 10:00 AM and 10:00 PM UK time, ensuring flexibility to accommodate various time zones and project deadlines.
Payment Preference: I prefer payments to be transferred to my U.S. bank account to streamline the process and ensure prompt transactions. I appreciate weekly or bi-weekly payment schedules, providing financial stability and consistency.
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