Chaturvedula Sandilya

• Built and deployed deep learning models using PyTorch and TensorFlow on Azure, achieving up to 95% accuracy on real-world classification tasks.

• Explored privacy-aware AI techniques, including differential privacy and synthetic data generation, for secure model training.

• Applied NLP and self-supervised learning methods to extract insights from unstructured text and video data.

• Designed reproducible ML pipelines with DVC and MLflow, ensuring experiment traceability and auditability.

• Automated customer feedback analysis by creating data pipelines, reducing manual effort by 30% and accelerating insight generation.
• Built a predictive model in Python with 93% accuracy to forecast customer behavior, improving marketing campaign effectiveness.
• Analyzed over 50,000 customer reviews using Python and NLP, identifying key trends and enhancing customer satisfaction by 18%.
• Created reusable Python scripts to automate repetitive tasks, saving time and boosting team productivity.

• Conducted market research and data analysis for enterprise clients, leveraging data-driven insights to optimize recruitment strategies and improve placement efficiency by 20%.
• Utilized SQL, Excel, and AWS Redshift to analyze large datasets, automating data processing workflows and reducing report generation time by 30%.
• Designed and implemented interactive dashboards in Power BI and Tableau, enabling real-time tracking of recruitment metrics and enhancing decision-making for key stakeholders.