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

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

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

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

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

Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring

Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems

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