Diya Chandrashekhar Shetty

I’m a detail-oriented Data Analyst and Data Science graduate with hands-on experience across data preprocessing, exploratory data analysis (EDA), and dashboard-ready insights. Through my internships in Data Science and Data Analytics, I’ve strengthened my ability to clean data, interpret results, and support data-driven decision-making.

In my projects, I built a customer churn prediction model in Python, using data cleaning, EDA, feature engineering, and model evaluation to identify key churn drivers. I also designed an interactive Power BI dashboard for employee attrition analysis and created segmentation and business-performance insights using K-Means clustering and SQL/BI tools. From mental health analytics to a face recognition system using PCA, LDA, and artificial neural networks (with a real-time OpenCV webcam flow), I enjoy translating complex data into clear, usable outcomes.

I work with a practical mix of programming, analytics, and visualization—Python (Pandas, NumPy, scikit-learn, Plotly), SQL, Power BI/Tableau, and strong KPI-driven reporting. I’m seeking an entry-level Data Analyst / Data Scientist role where I can contribute to data-driven decision-making, keep improving models and dashboards, and deliver measurable business value.