Abhinaya Deepika Peri

I’m an aspiring Data Scientist with a strong analytical foundation and hands-on experience in machine learning, statistical analysis, and business intelligence. I specialize in transforming complex datasets into meaningful insights and building predictive models that support data-driven decision-making.

My work spans the full data science workflow — including data cleaning, exploratory data analysis, feature engineering, hypothesis testing, and model development using modern ML frameworks such as Scikit-learn and TensorFlow/PyTorch. I apply statistical validation techniques, cross-validation, and performance metrics to ensure model reliability and robustness.

Beyond modeling, I focus on translating technical findings into actionable insights through SQL-driven analysis, dashboards, and structured reporting. I’m particularly interested in predictive analytics and experimentation, aiming to build solutions that combine analytical rigor with measurable business impact.