model development , regression models , Automation, Sql, Git, Spark, Databricks, Python, Azure DevOps, Bayesian Decision tree, Model monitoring, Productionizing automated data model pipelines, Code versioning, Statistics, MLflow, CI CD, Feature engineering, model validation, Delta Lake, Streamlit, Code modularization

prophet , Sql, Deep Learning, Tensorflow, Pytorch, Git, XGBoost, Machine Learning, Kubernetes, Python, scikit-learn, Time Series Models, Random Forests, LSTM, permutation importance, Integrated Gradients, statsmodels, SHAP, transformer-based models, counterfactuals, GRU, data visualization tools, Gradient Boosting, Temporal Convolutional Networks, LightGBM, Statistical models

Infrastructure Management, Dashboards, Perl, Shell scripting, Python, Tcl, Sta, Synthesis, workload management systems, cloud-enabled EDA infrastructure, multi-die design flows, flow monitoring infrastructure, ASIC SOC implementation flows, Physical Design, Physical Verification, regression environments, regression frameworks, distributed computing environments, low-power methodologies, AI ML-driven CAD optimization methodologies, automation scripts

error analysis , Analyzing AI-driven insights, AI-powered tools, Agentic AI, Enterprise workflow software, ServiceNow platform, Product management on AI or ML products, ML or LLM systems, Automating workflows

Product Development Lifecycle (PDLC), Generative AI, Oracle Financials Applications, Intercompany, Project management, Cash Management, Agile development and methodologies, Fixed Assets, XLA, Data-driven analysis, Agentic AI, Procure To Pay, Projects Accounting, Competitive Analysis, AI ML driven analytics, General Ledger, ERP Cloud, Program management, AI driven technologies

Oracle, Sql, shell scripting, Unix, MySQL, Hive, Java, Python, Data Visualization, Linux, R, Teradata

Data Science, Python, Statistical Programming Software, embeddings, Data Analysis Interpretation, Structured Query Language SQL, vision-language models, vector databases, MLflow, Traditional ML, Data Designing, LangGraph, Regulatory Compliance, Generative AI models, Large Language Models, RAG architectures, Weights Biases, LangChain, LLMs, Research Analysis, Machine Learning Engineering Fundamentals, Statistical Methods, prompt engineering, GenAI frameworks, diffusion models

data engineering , Ml, Sql, Tensorflow, Nlp, Pytorch, MLops, Python, GenAI, LLMs, Statistics, R, RAG, CI/CD, DL frameworks

Machine Learning, Google Cloud Platform, Pyspark, Neural Networks, Python, Deep Learning, Big Data Platforms, Data Text Mining