Insightful Data Analytics Engineer known for high productivity and efficient task completion. Specialize in big data processing, predictive modeling, and machine learning algorithms to extract actionable insights. Excel in problem-solving, adaptability, and collaboration, ensuring seamless integration of data-driven strategies across departments. Commitment to continuous learning and innovation positions for significant contributions in fast-paced environments.
Medical Insurance Fraud Detection using Big Data Analytics, The proposed project aims to develop a unique data science model utilizing analysis and classification algorithms to predict fraud in the medical insurance market, by integrating multiple big datasets and leveraging ML algorithms.
Formula1 Analysis, This project is designed to automate the ingestion, transformation, and analysis of Formula 1 racing data using Azure Data Factory and Databricks. The system will extract raw data, process it into meaningful insights, and store it in a structured format for analytics and reporting.
Advertisement or Not Classification, Aim is to distinguish between ads and non-ads in text records by doing proper cleaning and preprocessing of text data, extracting numerical features using techniques like TF-IDF or word embeddings, selecting and training a suitable machine learning algorithm, evaluating its performance, deploying the model for classification, and maintaining its effectiveness through regular monitoring and updates.