Dilip Kumar Manavalla

Machine Learning Engineer

Applied Data Finance•  May 2021 - Present•  Remote

Built models using Xgboost, LR and NN, Iterating on them four times based on trends and results. Enhanced business profitability through the successful build and deployment of fraud models, resulting in a notable reduction in defaulters Collaborated seamlessly within cross functional teams to establish efficient data pipelines for streamlined model development. Led the management and establishment of a pipeline for model deployment Initiated and implemented a robust comparison mechanism to monitor new predictions, generating alerts for discrepancies and enabling automated model monitoring Managed the design architecture for self-reliant models, streamlining deployment and earning positive feedback for achieving 3-hour model deployment. Recognized and Certified as the Best Employee at Applied Data Finance for outstanding contributions to team goals.

IIIT, Bangalore (International Institute of Information Technology)

Data Science and Machine Learning, M.Tech•  May 2022 - July 2023•  Percentage: 80

Completed an intensive PD Diploma program focused on Data Science and Machine Learning with a specialization in Deep Learning. The program covered a wide range of topics, including data preprocessing, statistical analysis, machine learning algorithms, neural networks, and advanced deep learning techniques such as CNNs, RNNs, and GANs. Practical experience gained through hands-on projects, case studies, and real-world applications, equipping me with strong analytical and technical skills to tackle complex data-driven challenges.