Experienced professional in multiple avenues of software engineering and data science. Developing highly scalable solutions for increased enterprise engagement. Exceptionally skilled in problem solving, system design, python frameworks, advanced analytics and machine learning. Creating data intensive applications for cross domain clients. Advocate of responsible AI. Programming languages: Python, Java, C#, R Software development: High level design, low level design, object oriented design, test driven development Python frameworks : Fast API, Flask, Django, Numpy, Pandas, Matplotlib Machine learning frameworks: Scikit-learn, H2O, TensorFlow, PyTorch, Pycaret Big Data frameworks: Pyspark/ Apache spark, Hadoop, MapReduce, Hive, PIG Data analytics tools: Power BI Databases: MySQL, PostgreSQL Machine learning techniques and algorithms: Linear regression, Decision trees, SVMs, Random forest, XgBoost, Catboost, Light GBM, ARIMA, SARIMA, ARIMAX, neural networks, RNN, CNN, optimization algorithms, A/B testing, Gradient descent, KNN, K-means clustering, logistic regression, time-series analysis, predictive analytics. Natural language processing: BERT, ElMo, LLM, GenAI, Chat GPT Developer tools: Apache Airflow, Docker, Kubernetes, K8, Git, Github, Confluence, JIRA, Github actions, Postman MLOps tools: TensorFlowX, MLFlow Cloud platforms: Google cloud platform (GCP), Microsoft Azure, Amazon Web Services(AWS)