

Abdul gafoor Pathan
Technology / Internet
About Abdul gafoor Pathan:
Dear Hiring Manager,
I am writing to express my interest in the Data Analyst role at your esteemed organization. With hands-on experience in data analysis and reporting, I bring a strong analytical mindset and proficiency in tools such as Power BI, Excel, SQL, and Python.
During my tenure at Capita, I was responsible for generating daily performance dashboards, tracking KPIs, and deriving insights to support strategic decisions. I have also worked on cleaning and transforming datasets to create meaningful visualizations that drive business outcomes. My ability to interpret data, identify trends, and present actionable insights has consistently added value to my team.
I am eager to contribute my skills and continue growing in a data-driven environment. Thank you for considering my application. I look forward to the opportunity to discuss how I can support your business goals.
Sincerely,
Abdul Gafoor Pathan
Experience
I am a results-driven professional with over 9 years of experience across data analysis, customer service, sales, and operations. I have hands-on expertise in tools like Power BI, Excel, SQL, and Python, with a strong focus on KPI reporting, performance tracking, and deriving business insights. During my time at Capita, I worked as a Business Analyst, where I created dashboards and mentored team members. At Markai and Sutherland, I strengthened my skills in customer engagement and retention. My blend of analytical capabilities and business understanding positions me well for data-driven roles.
Education
I hold a Master of Management Studies (MMS) with a specialization in IT and Systems, which has equipped me with a strong foundation in technology-driven business strategies and information management. To complement my academic background, I have also completed certifications in Data Analysis, enhancing my skills in tools such as Excel, Power BI, SQL, and Python. This combination of formal education and practical training has prepared me to effectively analyze data, solve business problems, and support data-driven decision-making.
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