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Data Analyst with less than a year in Python, SQL, and Power BI
Multilingual Data Analyst with a good foundation in linguistic analysis and a technical toolkit including Python, MySQL, and Power BI. Transitioning from an Arabic Language background, I bring a unique perspective to data interpretation. Proficient in cleaning complex datasets with Pandas/NumPy and creating high-impact visualizations with Seaborn and Matplotlib. Interested in learning new things and applying AI concepts to solve real-world problems. Eager to join an organization where I can learn, grow and contribute as a fresher while improving my skills through real-time projects and practical experience, leverage bilingual fluency and analytical skills to drive data-informed decisions in a global context.
Indira Gandhi Open University (IGNOU)
MA in Arabic Language
August 1, 2025 – June 30, 2027
Ansar Arabic College, Valavannur
BA in Afzal - ul - ulama
August 1, 2022 – June 30, 2025
Rauzathul Uloom Arabic College, Farook
Preliminary in Afzal – ul – ulama
August 1, 2020 – June 30, 2022
E – COMMERCE SALES DATA PROJECT
June 1, 2025 – June 1, 2026
Analyzed 12 months of e-commerce transaction data using Python (Pandas) and Power BI. Identified a 15% revenue leak in cart abandonment; proposed a targeted re-engagement strategy that resulted in a theoretical 5% increase in conversion.
Data Analysis : A Step-by-Step Course
Entri Elavate
January 1, 2025 – Present
Arabic - English Translation
Academy of Excellence
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile indicates a strong desire to learn and grow, which aligns with a culture of continuous improvement. The multilingual background and interest in applying AI concepts suggest an open-minded and adaptable individual. The project diversity is limited to one personal project, but it demonstrates initiative. The academic background in Arabic language, while not directly technical, showcases a unique analytical perspective that could contribute to team diversity.
Soft Skills & Operational Fit
The candidate highlights attention to detail, ability to work collaboratively, and a strong work ethic. The profile also mentions being eager to learn and improve, which is positive for operational fit. The multilingual background (Arabic, English, Malayalam) could be an asset in diverse work environments.