Nizar Malkiya

Teacher and Assistant for Data Science Bootcamp. (Python, SQL, Scraping, Statistics, Machine Learning, Deep Learning, NLP, Pandas, Scikit-learn, TensorFlow, Docker )

Tutor for Data Science MSc. (Big Data, Machine Learning, Hadoop, Spark)

- Development of a time-series based Machine Learning model for predictive maintenance of industrial equipments (Python, Tensorflow). - Development of several web apps to analyze, and visualize, the available sensors data (Python, Streamlit).

Development of a road risk model based on environmental conditions. (Python, Pandas, Scikit-learn, SQL, MongoDB, Dataiku)

- Development of data analysis routines (Jupyter, Python, Scikit-learn, Keras): o Machine Learning (Explanation, Prediction, Clustering); o Natural Language Processing (Sentiments, and Topics extraction); o Geographical data analysis. - Development of data visualization applications (JavaScript, Leaflet, Vue.js). - Development of web scraping scripts (Python).

- Development of data storage pipelines (Java, Spark, HBase). - Development of Machine Learning routines for users profiling (Jupyter, Python, Spark). - Development of data collection web APIs (C#).

Development and maintenance of data quality assessment tools: o Implementation of quality metrics (C#); o Implementation of visual interfaces for quality metrics (JavaScript, D3.js); o Evaluation of alternative data storage solutions (Cassandra); o Support, and bug fixes.

Euclid Project (System Team, Science Ground Segment (SGS)) - Development of the “Data Model” for the Science Ground Segment: o Maintenance of the Data Model (XSD), its grammar, and its documentation; o Development of tools (Python) to check the Data Model. o Development of tools (JavaScript, D3.js) to visualize the Data Model. - Architecture et Performance of the SGS infrastructure: o Development (in C) of a ‘testbed’ to assess the performances of Berkley DB as a storage solution, and comparison with other solutions (Oracle, HBase) o Writing of technical documents.

- Maintenance of the “BUS”, a Java middleware responsible of provisioning within the MVNO aggregation platform of Sisteer. - Development, testing, and integration of new “BUS” components, based on different protocols and technologies (HTTP, FTP, XML, Webservices, SQL, Swing, etc.). - Bugs Correction.

- LSA Project: o Maintenance of a Java library dedicated to Latent Semantic Analysis (LSA); o Maintenance of a J2EE web application, performing LSA, and based on the web services paradigm. - Bank frauds Project: o Statistical analysis (MATLAB) on a collection (1 year) of bank frauds; o Design of algorithms to perform clustering on a large dataset of bank frauds (Matlab, Java).

Deployment and maintenance of Winsure software solution (insurance) - Integration and delivery of new Wynsure versions. - Maintenance of the “ mapping” between Wynsure and the Oracle database. - Coding of scripts to perform automatically the integration procedures.

Statistical analysis and modeling of the channel for BAN networks: - Measurement of the transmission coefficients of the communication channel with a VNA. - Processing of the acquired data under MATLAB. - Statistical modeling of the channel’s time response, as a function of different parameters (antennas type, antennas position, etc.).

Enhancement of fluoroscopic images in angioplasty procedures: - Design of algorithms for the extraction of blood vessels from high contrast fluoroscopic images. - Design of algorithms performing registration of fluoroscopic images having different contrast levels. - Realization, in C, of a prototype implementing these functions.