Nova AI Centre. Building end-to-end data science pipelines from data cleaning, through exploratory analysis, predictive modelling, testing, deployment and MLOps using Databricks, VertexAI. Programming in Python (numpy, pandas, scikit-learn, etc.)

Advanced machine learning projects that drive manufacturing to the next level. Working with large-scale data, collaborating with cross-functional teams (engineering, R&D, and IT). Automotive regulations training TISAX, VDA and JIT process.

Developing and leading data science projects. Design of the data collection and transformation architecture in Azure cloud processing and analyzing data from more than 200 brick and plastic pipe factories. Daily work with Databricks, Synapse and AKS. Modeling of the industrial processes with Python and PySpark ( numpy, pandas, scikit-learn, scipy, sciml ). Adopting Lean Manufacturing and Six Sigma metodologies.

Real-time analysis and processing of HFT trading data. Development of tradingplatform in Apache Kafka. Learning deep neural networks using Tensorflow andKeras.

Design and implementation of algorithms for analysis and processing hugeamount of data using mainly Apache Hadoop, Spark, Kafka, HIVE, PIG and Mahout.Data analysis using python tools like scikit, numpy. Data visualization withmatplotlib, Tableau.

Big data analysis using Apache Hadoop and Hive. Machine learning using ApacheMahout, Orange, RapidMiner. Data analysis and visualization using numpy, scipy,pandas, scikit-learn. Statistical analysis using R. Programming in Java, Python.

Research work on American research projects funded by Army ResearchLaboratory (ARL) and Office of Naval Research (ONR) in domains of networksecurity and risk modeling in maritime security.