• Python and Pyspark , Tensorflow, Keras, Hugging Face Developer • Having Strong Project Experiences in LLM Model, Quantization, 4 bit, fine tuning in on custom data in AWS sagemaker, stored the result in S3 bucket. • Using LLM model Qwen, Gemini, OpenAi(chat-4o) API and Advanced Prompt Engineering for Anomaly detection using regex pattern in patent data and presenting demo using streamlit. . Having strong skills on Deep learning RNN, LSTM, BERT. • Having strong skills for implementation of supervised\un-supervised machine learning algorithms, and statistical analysis for data pre-processing. • Knowledge of business intelligence tools and reporting tools • Worked on Data Preparation for Modelling, Missing Data Imputation, Outlier Treatment, Scaling, Normalization, Standardization data for modeling, Encoding for Categorical Variables. • Experience in Oversampling\Under sampling for reducing class imbalance Experience in building solutions using Model Library, Feature Selection, Tree-based Ensemble Models • Hyper-parameter tuning Building Prediction mechanisms using methods like Logistic regression, voting classifier, XGBoost and RandomForest.