Shivansh Agarwal

I’m an aspiring (fresher) Data Analyst who turns messy datasets into decision-ready insights. I’m hands-on with data cleaning, exploratory data analysis (EDA), and statistical analysis, and I focus on clarity—so stakeholders can act confidently on what the data says.

I build end-to-end analytics workflows using Python (Pandas, NumPy) and SQL/MySQL, and I translate findings into dashboards and reports. Through my Deloitte data analytics virtual internship (via Forage), I practiced real-world analysis routines and delivered client-style, structured outputs.

My project work strengthens my ability to go from raw data to measurable business impact. I created a Swiggy sales analysis dashboard with Excel KPIs (Pivot Tables, Pivot Charts, Slicers) and identified top-performing cities after cleaning and analyzing the data; I also ran a Customer Churn Analysis using Python to handle missing values and outliers, perform EDA, and generate churn-focused retention recommendations.

I’m also comfortable communicating insights through Microsoft Excel, Power BI, and Tableau, including dashboard development for operational trends and performance metrics. With AWS and Google Cloud certification credentials and a strong foundation in business intelligence reporting, I’m actively seeking an entry-level Data Analyst role to apply my analytical and technical skills to real business problems.