With a passion for harnessing the power of data to drive business growth, I am an experienced Sr. data scientist dedicated to delivering exceptional results. My expertise lies in applying cutting-edge algorithms and methodologies to improve businesses across diverse industries. I possess a strong track record of achieving SOTA results and have a deep understanding of the end-to-end data science process, from data preprocessing to model deployment and productionization. I have a working expertise on: # Machine learning # Deep learning # Recommendation engine # Reinforcement learning # NLP and LLMs # Data analytics and Business Intelligence # MLOps Tech stack I explored: - Languages/Frameworks: Python, PySpark, PyTorch, TensorFlow, Keras, HuggingFace, Scikit learn, NLTK, SpaCy, StandardNLP, TextBlob, Pandas, Numpy, SQL, Beautiful Soup, Scrapy - Architectures: Embedding (word2vec, Elmo, Glove), transformers, BERT, Attention model, Transfer learning, LSTM, CNN, RNN, LLMs (ChatGPT, BARD), Neural collaborative filtering, PU learning, Active learning - ML Algos: Regression Linear Lasso, Ridge, Elastic-net Regression, Logistic Regression, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, SVM), Unsupervised (K-means, GMM, LSA, PCA, t-SNE), Neural networks. - Deployment: Sklearn Pipeline, Flask, Git, MLFlow, GitHub action, Docker, AWS Sagemaker, Azure Databricks Throughout my career, I have consistently demonstrated my ability to leverage data to uncover valuable insights, drive innovation, and deliver tangible business impact. My commitment to staying up-to-date with the latest advancements in the field, coupled with my strong problem-solving, allows me to thrive in dynamic and challenging environments. If you're seeking a results-oriented lead data scientist who can drive your organization's data-driven strategies to new heights, I would welcome the opportunity to discuss how my skills and experience align with your needs. Let's connect and explore the possibilities.