regression models , snowflake , Unix, Github, Pyspark, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Git, Pandas, Linux, Spark, Decision Trees, Databricks, Azure, VS Code, Matrix Factorization, Content-Based Filtering, Time-Series Forecasting, Neural Collaborative Filtering, LLMs, Segmentation techniques, Scikit-learn, Unsupervised Clustering, collaborative filtering

prophet , Tensorflow, Pytorch, Etl Tools, Python, Hadoop, Neural Nets, Hive, Arima, Spark, Keras, Clustering, heuristic LP, Simulation, anomaly detection, machine learning techniques, R, Market Intelligence, stochastic models, Map Reduce, GA, SQL databases, Gurobi, time series forecasting, exponential smoothing, o9 platform, ensemble learning, time series optimizations, Regression, feature engineering

Machine Learning, Nlp, Data Mining, Apache Spark, Information Retrieval, Python, Statistical Analysis, Deep Learning

Computer Vision, Kafka, Sql, Deep Learning, Nlp, Docker, Spark, Kubernetes, Python, Airflow, reinforcement learning, Cloud AI services, RAG

Docker, Kubernetes, Python, Sql, Logistic Regression, Deep Learning, model evaluation frameworks, LLM orchestration, anomaly detection, time-series forecasting, Classification

Data Science, Machine Learning, Generative AI, Simulation, Optimization

Data Cleansing, Predictive Analytics, SAS, Spss, Data Visualization, Python, R, data quality assessment, applied analytics, descriptive statistics

probability , Matplotlib, Sql, Databricks, Tensorflow, Pandas, Tableau, Rest Apis, Power Bi, Pytorch, Azure ML, Apache Spark, Numpy, Seaborn, Azure Functions, Python, Docker, optimization fundamentals, linear algebra, scikit-learn, SHAP, LIME, Model evaluation techniques, Plotly, MLflow, Dask, Statistics, ML algorithms, GCP Vertex AI

Pyspark, Sql, Nlp, Pandas, Databricks, Python, GenAI, optimisation methods, scikit-learn, sensitivity analysis, MLflow, cross-validation, holdouts, causal inference techniques, model validation, back testing