Nitheesha N.

Background

About Nitheesha N.

I am a Data Analyst with over 5 years of experience, specializing in optimizing workflows, developing robust ETL pipelines, and uncovering actionable insights to drive business success. My expertise includes SQL, Python (Pandas, NumPy, Scikit-learn), Power BI, Tableau, and cloud platforms like Azure Data Factory and AWS S3. At Cardinal Health, I’ve led data automation initiatives, reducing manual effort by 40% with Azure Data Factory and enhancing decision-making through Power BI dashboards. I’ve also developed predictive models in Python to forecast sales trends and customer churn, streamlined workflows with AWS S3, and optimized marketing campaigns using A/B testing analysis. Previously, at CareSource and Prime Healthcare, I defined key KPIs, built interactive dashboards, cleaned large datasets, and implemented predictive modeling, resulting in a 15% improvement in customer retention. Key strengths include: Designing and automating ETL workflows for efficiency. Creating interactive dashboards to monitor KPIs and performance metrics. Performing exploratory data analysis (EDA) to uncover trends and inform decisions. Ensuring compliance with data governance frameworks like GDPR, CCPA, and HIPAA. I am passionate about fostering a data-driven culture, empowering teams with analytics tools, and collaborating with stakeholders to solve complex business challenges. My goal is to turn data into actionable insights that drive growth and innovation.