Power BI Tutors : 1-1 Power BI Preparation

I am Sameer Siddiqui, a quantitative researcher with five years of professional experience in Python engineering, data pipelines, and applied machine learning. Currently, I am pursuing my MSc in Quantitative Finance at the University of Glasgow, where I focus on stochastic calculus, derivatives pricing, portfolio theory, and quantitative optimisation. My background combines technical depth with financial expertise, having built and deployed 100+ real-time data pipelines, automated reporting systems, and machine learning models in Azure Kubernetes Service to improve efficiency and decision-making. I have also developed trading algorithms, backtested strategies, and conducted risk analysis, strengthening my foundation in financial engineering. With hands-on expertise across Python, SQL, and deep learning frameworks, I thrive at the intersection of technology and finance, driven by curiosity, problem-solving, and a passion for markets.

Hello, my name is Vikramjeet Singh, and I am a dedicated Computer Science student in the UK with a strong academic foundation and passion for both Mathematics and Technology. I have developed deep technical knowledge in programming languages such as HTML, CSS, Swift, Java, and SwiftUI, along with a strong understanding of algorithms, logic, and problem-solving — all of which form the backbone of both Computer Science and Mathematics.

Throughout my studies, I’ve not only built a solid academic record but also applied my skills in real-world projects, including UI/UX design, web development, and data-driven applications. My experience participating in hackathons — such as the one organized by AWS and West Midlands Police, where my team earned the runner-up position — helped me strengthen my analytical and teamwork abilities, as well as my capacity to explain complex ideas in simple, structured ways.

As a tutor, I aim to create an engaging and supportive learning environment that helps students truly understand core concepts rather than memorizing them. My approach focuses on connecting theory with real-world applications, using practical examples from programming and logic to make mathematical reasoning easier to grasp. I believe patience, clarity, and enthusiasm are key to effective teaching — qualities I consistently bring to every interaction.

With a passion for helping others learn and a proven ability to simplify challenging topics, I’m confident that I can make a positive impact as a Computer Science and Mathematics tutor by inspiring curiosity, boosting confidence, and ensuring strong academic progress.

I am Sameer Siddiqui, a quantitative researcher with five years of professional experience in Python engineering, data pipelines, and applied machine learning. Currently, I am pursuing my MSc in Quantitative Finance at the University of Glasgow, where I focus on stochastic calculus, derivatives pricing, portfolio theory, and quantitative optimisation. My background combines technical depth with financial expertise, having built and deployed 100+ real-time data pipelines, automated reporting systems, and machine learning models in Azure Kubernetes Service to improve efficiency and decision-making. I have also developed trading algorithms, backtested strategies, and conducted risk analysis, strengthening my foundation in financial engineering. With hands-on expertise across Python, SQL, and deep learning frameworks, I thrive at the intersection of technology and finance, driven by curiosity, problem-solving, and a passion for markets.

Hello, my name is Vikramjeet Singh, and I am a dedicated Computer Science student in the UK with a strong academic foundation and passion for both Mathematics and Technology. I have developed deep technical knowledge in programming languages such as HTML, CSS, Swift, Java, and SwiftUI, along with a strong understanding of algorithms, logic, and problem-solving — all of which form the backbone of both Computer Science and Mathematics.

Throughout my studies, I’ve not only built a solid academic record but also applied my skills in real-world projects, including UI/UX design, web development, and data-driven applications. My experience participating in hackathons — such as the one organized by AWS and West Midlands Police, where my team earned the runner-up position — helped me strengthen my analytical and teamwork abilities, as well as my capacity to explain complex ideas in simple, structured ways.

As a tutor, I aim to create an engaging and supportive learning environment that helps students truly understand core concepts rather than memorizing them. My approach focuses on connecting theory with real-world applications, using practical examples from programming and logic to make mathematical reasoning easier to grasp. I believe patience, clarity, and enthusiasm are key to effective teaching — qualities I consistently bring to every interaction.

With a passion for helping others learn and a proven ability to simplify challenging topics, I’m confident that I can make a positive impact as a Computer Science and Mathematics tutor by inspiring curiosity, boosting confidence, and ensuring strong academic progress.

I am Sameer Siddiqui, a quantitative researcher with five years of professional experience in Python engineering, data pipelines, and applied machine learning. Currently, I am pursuing my MSc in Quantitative Finance at the University of Glasgow, where I focus on stochastic calculus, derivatives pricing, portfolio theory, and quantitative optimisation. My background combines technical depth with financial expertise, having built and deployed 100+ real-time data pipelines, automated reporting systems, and machine learning models in Azure Kubernetes Service to improve efficiency and decision-making. I have also developed trading algorithms, backtested strategies, and conducted risk analysis, strengthening my foundation in financial engineering. With hands-on expertise across Python, SQL, and deep learning frameworks, I thrive at the intersection of technology and finance, driven by curiosity, problem-solving, and a passion for markets.

Hello, my name is Vikramjeet Singh, and I am a dedicated Computer Science student in the UK with a strong academic foundation and passion for both Mathematics and Technology. I have developed deep technical knowledge in programming languages such as HTML, CSS, Swift, Java, and SwiftUI, along with a strong understanding of algorithms, logic, and problem-solving — all of which form the backbone of both Computer Science and Mathematics.

Throughout my studies, I’ve not only built a solid academic record but also applied my skills in real-world projects, including UI/UX design, web development, and data-driven applications. My experience participating in hackathons — such as the one organized by AWS and West Midlands Police, where my team earned the runner-up position — helped me strengthen my analytical and teamwork abilities, as well as my capacity to explain complex ideas in simple, structured ways.

As a tutor, I aim to create an engaging and supportive learning environment that helps students truly understand core concepts rather than memorizing them. My approach focuses on connecting theory with real-world applications, using practical examples from programming and logic to make mathematical reasoning easier to grasp. I believe patience, clarity, and enthusiasm are key to effective teaching — qualities I consistently bring to every interaction.

With a passion for helping others learn and a proven ability to simplify challenging topics, I’m confident that I can make a positive impact as a Computer Science and Mathematics tutor by inspiring curiosity, boosting confidence, and ensuring strong academic progress.