Karthik Kumar Raghumurti Bhat Email & Phone Number

Chemnitz, Sn, De

Germany

Walldorf, Baden-Württemberg, Germany

1) Designed and implemented a job-based course recommendation system for over 10.000 users using Python, TensorFlow, and PyTorch, resulting in a 25% increase in user engagement and satisfaction.2) Created an ETL pipeline to ingest job advertisements and courses data from SAP S/4 HANA.3) Extracted skills from job advertisements and course descriptions using Named Entity Recognition (NER).4) Utilized Natural Language Processing (NLP) to create a graph by connecting the extracted skills from job ads and courses, identifying commonalities between them.5) Collaborated with Data Science experts and implemented a course recommendation system using state-of-the-art machine learning techniques.

Walldorf, Baden-Württemberg, Germany

1) Developed efficient data models within SAP S/4 HANA, yielding a 50% reduction in processing time and notable enhancements in data accuracy.2) Utilized SQL procedures to refine current data models, resulting in a 60% improvement in performance and efficiency.3) Successfully migrated the data models from SAP HANA to C4S, amplifying data processing capabilities and accessibility for machine learning endeavors. This initiative sustainably increased the efficiency and improved the overall productivity.

Bengaluru, Karnataka, India

1) Developed robust ETL pipeline using Azure Data Factory, Databricks and Data Lake using Azure cloud.2) Performed exploratory data analysis (EDA) by using statistical techniques to understand data trends, numerical feature distributions and relationships.3) Performed Feature engineering to identify the most important features that affected machine learning model's accuracy.4) Developed a tool called "Radar Classifier" using Python, ensemble techniques (Random Forest, XgBoost) and deep neural network to classify the detected unknown radar signals as friendly or non-friendly. The model with the best performance metrics was selected.5) Designed and implemented 'Smart Feedback System', a Python-based tool incorporating Natural Language Processing (NLP) techniques to perform sentiment analysis on customer feedback to assess the performance of simulator tools.6) Deployed the Radar Classifier and Smart Feedback system tools in Azure cloud.7) Created a detailed visualization using Tableau to analyze the distribution of radars over time and space, to identify the proportion of friendly and non friendly signals and to visualize the strength and range of detected radar signals.

Bengaluru, Karnataka, India

1) Implemented and maintained ETL processes to ingest the raw data from Azure container and to validate and transform the data using Azure DataFactory and Databricks. 2) Transformed the data using PySpark in Databricks. The transformed data was stored in Azure data Lake.3) Developed various software tools using Python for different fighter jets to accurately replay warnings of threat detections from RF sensor system, thereby enhancing data analysis capabilities.4) Implemented and updated various modules in the radar database library tool using C++ to align with customer needs and requirements across various defense platforms.5) Executed SQL scripts to perform database tasks using PostgreSQL and Oracle database.6) Implemented various modules to monitor the health status of hardware components within the RWR system.7) Participated in the complete lifecycle of RWR software tools and applications.8) Prepared and maintained various documents to ensure ETL processes, precise version control and information throughout the software development process for knowledge sharing and reference.

Master Of Science - M.Sc., Big Data And Business Analytics

Bachelor Of Engineering - B.Eng., Computer Science & Engineering