Sanket Shrikant Patil

1. ML project development and operations2. Planning data analytics/engineering architecture and operations3. Administration and scaling of analytics infrastructure in Kubernetes (Airflow, Superset, Jupyterlab)4. Data engineering with automated data validation5. Data Analytics/ Engineering on cloud with Azure Synapse in Spark6. OSM, Valhalla, Nominatim administration and operations for GIS data needs

1. Machine Learning and Data Analysis in IoT Rail Telematics 2. Crowd management AI solutions using non‑Image data 3. Anomaly detection, Density based clustering in crowdedness detection 4. Data Modelling, Data Engineering with interactive dashboards in Tableau 5. Cloud computing using AWS ‑ EC2, S3 and Athena 6. Agile, Neat and production level coding with unit‑testing

1. Economic evaluation of solar power projects 2. Dealing with structured and unstructured data from different data sources (Excel, SQL, S3) and analyse and visualise with R and Tableau 3. Create dashboard in Tableau and prepare presentations

1. Data Visualization, Data Mining, Data Engineering, Machine Learning, IoT. Software development in JAVA 2. Future Mobility Concepts, Innovation Management, Siemens Mechatronic systems Program

Electrical and Electronics Engineering, Control Systems, Python, R