Amruth Gowda Appajaiah

Collect, analyze, and interpret customer data using Excel and SQL for valuable insights. Develop reports and dashboards, assess KPIs using Excel and Power BI. Support stakeholder communication, optimize meetings, and monitor data quality. Conducted thorough data analysis using PowerBI to identify trends and patterns in user ratings and feedback, enabling data-driven decision-making and product enhancements

• Researched semantic similarity in medical prescriptions, analyzing clinical datasets. • Used Python (Pandas, NumPy, Scikit-Learn) for advanced data analysis. • Applied NLP and machine learning techniques (NLTK, TensorFlow) to assess semantic similarity. • Data Augmentation for dataset enlarging. • Developed a user-friendly interface or tool leveraging the results of semantic similarity analysis, aiding healthcare professionals in making informed decisions during prescription management and patient care.

Worked on Recruitment Assisting Buddy Engine (RABE), an automated process of analyzing job descriptions posted on online job boards. Developed and implemented the Recruitment Assisting Buddy Engine (RABE) in collaboration with ONTEC AG, leveraging Natural Language Processing (NLP) techniques. Engineered NLP models for automated resume parsing, candidate screening, and job matching, enhancing efficiency and accuracy in the recruitment process.