containerization , Unit Testing, Tensorflow, Numpy, Nlp, Pytorch, Python, Machine Learning, Data Transformation, Api Development, Sql, Data Quality, Git, Pandas, Computer Vision, MLops, Spark, Clustering, Airflow, data pipelines, scikit-learn, MLflow, Statistical Modeling, graph analytics, LLMs, code reviews, tree-based algorithms, CI/CD, feature engineering

Programming Languages: Python, SQL Machine Learning: Regression, Model Evaluation Metrics Machine Learning Libraries: pandas, Scikit-learn Deep Learning Frameworks: TensorFlow, PyTorch Generative AI / LLM: GenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LLM Evaluation Statistics & Analytics: Statistical Analysis, Advanced Analytics Data Visualization & Reporting: Data Visualization, Business Intelligence (BI) Tools MLOps / LLMOps: Model Versioning, LLMOps DevOps & Deployment: CI/CD, Kubernetes API & Cloud Technologies: APIs, Cloud ML Services End-to-End Data Science: Problem Framing, Exploratory Data Analysis (EDA), model development , Recommendations Presentation Telecom / ISP Analytics: Churn Analysis, Average Revenue Per User (ARPU), Net Promoter Score (NPS), Clustering, Hypothesis Testing, Numpy, MLops, Docker, Classification, Time-Series Analysis, Prompt Engineering, Statistical Modeling, Data Exploration, Data Storytelling, Notebooks, Model Registry, Model Monitoring, Retraining Triggers, Cloud AI Services, Model Evaluation, Usage Analytics, Campaign Metrics, Subscription Business Metrics

, Sql, Ml, Matplotlib, Tableau, Numpy, Pandas, Python, Scikit-learn, Streamlit, Ai, R-shiny, R, bokeh