unstructured data , Apis, Sql, Version Control, Machine Learning, Predictive Modeling, Python, Generative AI concepts, Data Analysis, Prompt writing, Cloud or big-data ecosystems, Ontology-based applications, Optimization, Statistical Modeling, Distributed data-processing technologies such as Spark, Data pipelines, Decision-support tools, CI/CD practices

Machine Learning, Version Control, Testing, Python, Sql, Statistical Analysis, large language models

Python, Tensorflow, Grafana, Kafka, Pandas, Pytorch, Scipy, Flask, XGBoost, Matplotlib, S3, Bash Scripting, Numpy, Seaborn, Prometheus, FastAPI, Docker, Airflow, DWT, Argo Workflows, wavelets, Trino, Plotly, TorchScript, GitHub Actions, Athena, ONNX, Scikit-learn, Jupyter, LightGBM, tsfresh, STFT, FFT

data engineering , Databricks, Sql, Kubernetes, Python, Docker, Dashboards, Spark, DevOps practices, Cloud platforms, NoSQL databases, Web-based analytical tools

Pyspark, Machine Learning, Tableau, Sql, Git, Nlp, Powerbi, Databricks, Python, GenAI, mathematical optimization, cloud platforms, Llm, deep learning techniques

LLM Evaluation

Python, Power Bi, Sql, Excel, Tableau, Basic Statistics and data interpretation

Statistical Analysis, Power Bi, Sql, Artificial Intelligence, Python, SAS, Machine Learning, R, Feature Engineering, Data Reprocessing

Spark, Sql, Ml, Hadoop, Neural Networks, AWS, Random Forest, Python, Big Data, Scala, Gradient Boosting, Ai, R, Support Vector Machines

Predictive Modeling, Sql, Python, Statistical Analysis, Machine Learning, R