Wasiur Rab

I hope this message finds you well. I’m writing to express my interest in the Data Analyst role at your company. With a Master’s in Big Data Science from Queen Mary University of London and hands-on experience in financial services at Capgemini, I’m excited about the opportunity to contribute my skills to your team.

In my role at Capgemini, I managed over $7 trillion in client assets, resolved 95% of client requests within 24 hours, and improved transfer process efficiency by 30%. These achievements weren’t just about numbers—they taught me the importance of precision, collaboration, and keeping the end-user in mind. One of the projects I’m most proud of is developing a predictive analytics dashboard that helped a retail company optimize inventory and forecast sales trends. It’s incredibly rewarding to see how data can drive better decisions and create meaningful impact.

What excites me most about in your compnay is your dedication to leveraging data to make a real difference. I’d love to bring my experience and enthusiasm to your team, turning complex data into actionable insights that support your mission.

With a strong foundation in data analytics and client management, I bring experience from diverse roles across financial services and data-focused environments. At Capgemini Financial Services, I managed $7 trillion in client assets, achieving a 30% increase in transfer efficiency and resolving 95% of client requests within 24 hours. My expertise includes leveraging tools like Python, SQL, and advanced analytics platforms to streamline operations and improve client satisfaction by 20%.

Earlier roles include working as a Data Analyst at SarTech Info, where I reduced data processing times by 25% and enhanced data quality by 20% through automated pipelines and insightful dashboards using Tableau and Power BI. At Paradigm Pioneer Group, I focused on data-driven problem-solving, creating automated reporting systems that boosted report generation efficiency by 40%.

I have consistently demonstrated proficiency in tools like Python, SQL, Tableau, and R, paired with strong client relationship management skills, which position me to deliver data-driven solutions and operational excellence in dynamic environments.

I hold a Master's in Big Data Science from Queen Mary University London, where I gained advanced expertise in data analytics, machine learning, and large-scale data processing. Complementing this, I completed a Data Analytics Bootcamp at La Wagon, London, an intensive 12-week program with over 360 hours of hands-on training in Python, data visualization, and analytics tools. My academic foundation also includes a B.Tech in Computer Science Engineering from Al Falah University, where I developed a strong technical skill set in programming and system design.