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Data Analyst with 1+ years in biotechnology and 1.9 years of experience in data analytics and custom
Highly motivated and detail-oriented professional with a bachelor's in biotechnology engineering and a strong foundation in data analytics tools and methodologies. Eager to transition into an entry-level data analyst role, leveraging acquired knowledge from comprehensive MySQL, Power BI, and Tableau training. Currently preparing for the Azure DP-900 certification. Possesses proven analytical and customer service skills from prior work experience. A quick learner capable of rapidly acquiring new technical skills to support data-driven decision-making processes.
Birla Institute of Technology (BIT), Muscat, Oman
Bachelor of Engineering · Biotechnology
August 1, 2015 – June 30, 2019
Bangladesh School Muscat, Muscat, Oman
O Level, AS Level, A Level
June 1, 2008 – May 31, 2014
Al Lamki Polyclinic
Insurance Coordinator & Part-time Marketing Manager
August 1, 2021 – September 1, 2022
Muscat, Muscat Governorate, Oman
BOOTS Pharmacy
Customer Service Assistant
May 1, 2017 – February 1, 2019
Muscat, Muscat Governorate, Oman
Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Internship at National Pharmaceutical Industries Co. (R&D, QC/QA Labs)
National Pharmaceutical Industries Co.
June 1, 2026 – Present
The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert
Udemy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong drive for learning and self-improvement, which is a positive cultural indicator. Their diverse background, including a biotechnology degree and experience in healthcare administration and retail, suggests adaptability and a broad perspective. The proactive pursuit of certifications (MySQL, Azure) indicates initiative and a desire to align with the target role. However, the lack of direct data analysis project experience or roles might require a team that is willing to mentor and integrate someone transitioning into the field.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as problem-solving, detail analytics, time management, customer service, and adaptability, which are valuable for a data analyst role. Their experience in coordinating patient financial challenges and managing insurance claims suggests an ability to handle complex data-related tasks and communicate effectively. The marketing manager experience also indicates an understanding of performance tracking and budget allocation, which aligns with business intelligence aspects of data analysis. However, the operational fit for a senior data analyst role is limited due to the lack of direct, hands-on experience in advanced data modeling, large-scale data processing, or leading data projects.