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Data Analysis with less than a year in Data Analytics, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Business and Information Systems student with a strong technical foundation in Data Analytics. Proficient in transforming raw data into actionable insights using SQL, Python, and Power BI. Adept at building interactive dashboards and performing complex data cleaning. Combined with a solid background in Customer Service and Administration, I possess unique skills in problem-solving, stakeholder communication, and team collaboration. Highly motivated to leverage my analytical mindset in a professional Data Analyst role.
Sadat Academy for Management Sciences
B.Sc. in Business and Information Systems · Business and Information Systems
August 1, 2022 – June 30, 2026
RATP Dev Mobility
Customer Service Agent
August 1, 2025 – Present
India
LG Maintenance Center
Account Administrator
October 1, 2024 – May 1, 2025
India
GO Chat (Vodafone 888)
Customer Care Representative
June 1, 2024 – September 1, 2024
India
Data Visualization Project (Portfolio)
June 1, 2026 – Present
Created interactive dashboards to analyze [Mention a specific topic, e.g., Sales/Finance] using Power BI and SQL.
Data Analysis Diploma
AMIT Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background includes diverse customer-facing roles and a personal project, indicating a proactive and service-oriented mindset. The pursuit of a Data Analysis Diploma and a B.Sc. in Business and Information Systems aligns with a growth-oriented culture. The project diversity, though limited to one personal project, shows initiative. However, the direct alignment with a senior data analysis role is limited by the lack of professional data analysis experience.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills including conflict resolution, team collaboration, communication, and problem-solving, developed through extensive customer service experience. These skills are highly transferable and beneficial for a data analysis role, particularly in presenting insights and managing stakeholder expectations. The candidate's experience in high-pressure customer service environments suggests good stress handling and operational resilience.