Sparsh Bansal

Background

About Sparsh Bansal

I’m a data-driven professional with 2 years of hands-on experience in data analytics, reporting, and applied machine learning. My core strength lies in extracting insights from complex datasets and transforming them into business actions that save time, cut costs, and improve efficiency. Currently, I work as an Application Engineer at Microchip Technology, where I’ve built predictive models to optimize inventory, automated data workflows using PySpark and Databricks, and developed Power BI dashboards that enable real-time decision-making. My work has helped reduce procurement variance by 30%, save 15+ hours of weekly effort through automation, and accelerate reporting by 70%. With strong proficiency in SQL, Python, Power BI, and PySpark, I specialize in exploratory data analysis (EDA), A/B testing, machine learning techniques like regression and classification, feature engineering, model tuning, and building scalable data transformation pipelines. I’ve worked extensively with tools like Azure Synapse, Databricks, and GCP Dataproc for cloud analytics. I'm passionate about solving real-world problems with data. Whether it's streamlining supply chains, forecasting demand, or uncovering customer behavior patterns — I enjoy working at the intersection of data, strategy, and execution. Outside of work, I’ve completed certifications in Python, SQL, and statistics for data science, and continue to build machine learning projects like credit risk modeling and healthcare premium prediction to sharpen my skills. I'm now actively exploring opportunities in data analytics, machine learning, or hybrid roles where I can grow in a collaborative environment and contribute to impactful data solutions. Let’s connect if you’re hiring, collaborating, or just passionate about data!