- Experience in PySpark with Databricks, Large Language Model and Generative AI.- Deep Learning Model for Object detection and Tracking with counts.- Knowledge on Machine learning in Associate and professional levels with Databricks.- Built Summarization model for Norway language article based on client requirement.- Engaged in hackathon hosted by Databricks where we created a chatbot using RAG based LLM to reduce risks involved during manufacturing- in-depth experience in data visualization, EDA, profiling the data using Databricks. Experience working with Microsoft Azure cloud platform.

• Worked on data retrieved from medical domain to find the protein abundance in an organism.• Built a polynomial regression model which was the best fit for the data as the other machine learning model had less accuracy. Increased the model efficiency from 67% to 92% by fine-tuning the model.• Ran similar data on the same model and retained 88% accuracy.• Did data cleaning and data preprocessing to achieve a cleaner noise free data.• Created data visualization for the data frame as well as for the model performance.

• Developed and implemented a deep learning segmentation model to classify images.• Gained hands-on experience working on projects in Medical Diagnosis and Flight Delay Prediction.Practiced Programming skills by working on datasets in Kaggle.