About
About Me
I’m passionate about building data-driven systems that solve real-world problems. My work spans developing data pipelines, transforming datasets, and creating automated solutions using tools like Azure, Databricks, and SQL. I also have experience in software development with Java, Python, and Kotlin, delivering applications that are both functional and scalable.
My academic foundation includes postgraduate studies in Artificial Intelligence and Data Analytics from Durham College, complemented by a Bachelor’s in Computer Engineering. I’ve earned certifications such as Databricks Certified Data Engineer Associate, Azure Data Fundamentals,
continuously sharpening my skills in modern data platforms.
Outside the technical realm, I lead The Executors’ Club, a community focused on personal growth and productivity. I enjoy sharing knowledge, creating digital content, and connecting with others. In my free time, you’ll find me reading, playing the keyboard, or exploring nature — always seeking creativity and balance.
Experience
My Experience
- Constructed and maintained data integration and reporting solutions for the healthcare sector, utilizing SSIS, SSRS, and SQL technologies, improving data processing speed by 20%.
- Delivered SQL scripting and database management, optimizing database performance by 25% and ensuring efficient data retrieval and storage.
- Spearheaded software and systems enhancements, proposing and prototyping new functionality, resulting in a 25% improvement in overall system efficiency.
- Collaborated with Business Analysts, QA, Regulatory Affairs, and Project Managers to define business requirements and design end-to-end software solutions, increasing project efficiency by 20%.
- Maintained awareness of current regulations and standards, ensuring their integration into the software development process, and mitigating development risks by 10%.
- Designed, devised, tested, and maintained system solutions, creating technical and functional documentation, and enhancing software maintainability by 25%.
- Utilized LSTM neural networks to significantly enhance financial forecasting accuracy for Bitcoin, aiding in the formulation of informed trading strategies.
- Created and tested a quantitative trading algorithm that improved investment returns by strategically analyzing historical price data to generate precise buy/sell signals.
- Conducted exploratory data analysis with Python tools to deepen understanding of market trends and volatility, refining data-driven strategies.
- Employed advanced object-oriented design principles to optimize codebase maintainability and reduce bug count by 15% throughout the project.
- Utilized a wide range of third-party libraries, custom libraries, and APIs to develop new applications, reducing development time by 25% and enhancing application functionality.
- Pioneered techniques for improved modularity, testability, and maintainability of front-end applications, resulting in a 20% reduction in code complexity and a 15% reduction in post-launch maintenance efforts.
Blog
My Blog
Explore my latest blogs by clicking the button below and dive into a range of topics on my Medium account. Stay informed, inspired, and connected!
Contact
Get In Touch With Me.
Interested in learning more about me, my work or how we can collaborate on an upcoming project? Feel free to reach out anytime via email, I would be more than happy to chat.
- hello@harpalvaghela.com
- https://topmate.io/harpal_vaghela
- https://beacons.ai/harpalvaghela