My story began in the vibrant halls of my university in India, where I dove into the intricate world of Electronics and Communication Engineering. I developed a deep understanding of and , which quickly became my preferred tools for exploring data and system design. This passion led to one of my proudest achievements—a deep learning-based video summarization project, which culminated in a research paper published in the Springer Journal and also a Gold Medal at my University.

Continuing my academic journey, I moved to Canada to pursue a Master of Engineering at the University of Calgary. Here, I delved deeper into the realms of Machine Learning and AI, working extensively with Pandas and Scikit-learn to extract valuable insights from large datasets and build predictive models. During this time, I also became fascinated by Data Engineering, gaining hands-on experience with SQL to design robust databases and Apache Spark to handle big data processing efficiently.

I built scalable data pipelines using Airflow, integrating batch and real-time data sources. My ability to automate data workflows with Python and optimize queries with Snowflake allowed me to streamline data processing, ensuring that high-quality data was available for machine learning models.

During my time at AltaML, I gained hands-on experience with and , developing machine learning models that predicted customer revenue and churn probabilities. My work in this role was driven by a focus on efficiency, using to streamline deployments and automate processes.

As my career evolved, I transitioned into Full Stack Development, building applications with on the front end and for the backend. I’ve worked with and to manage large-scale databases, ensuring scalability and security in the systems I build.

Today, I continue to explore new challenges in Data Science and Web Development, always eager to combine technical expertise with creative problem-solving. Let’s connect and explore the limitless possibilities of tech together!