Nizar MALKIYA

Intervention, as Tutor, on several iterations of a Data Science MSc: - Provided online support to students of several modules, such as BigData Analysis, Statistics and Statistical Data Mining, and Artificial Intelligence. - Participated in webinars to answer questions from students - Graded the students' coursework and exams. Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP Algos: K-means, Reinforcement learning, Genetic Algorithms, Bayesian networks Sector: Education

DataScience Bootcamp Teacher - Lectures and exercises work on all the topics of the bootcamp - Supervision of groups during project weeks (Timeseries, Image Recognition,Recommendations..) - Trained more than 500 students, and mentored more than 50 final projects. Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP Algos: Linear Models, Random Forests, K-means, PCA, Neural Networks, RNN, CNN Sector: Education

Development of a GenAI enterprise solution Development of a GenAI app to check document compliance with company guidelines: - Development of a Python app using agents and an RAG approach. - A/B testing to optimize prompts. Tools: Python, LangChain, LangGraph, GCP, RAG, AI Agents Sector: Consulting

Development of Predictive Maintenance Models Development of a model to predict the risk of failure in industrial processes: - Processing of time series from several sensors, and feature engineering - Training of RNN prediction models Tools: Python, Pandas, Scikit-learn, TensorFlow, AWS, Snowflake Algos: RNN Sector: Pharma

Development of a house pricing model. Development of a model to predict house prices for a real estate company: - Aggregation of data from different sources - Training and evaluation of several price prediction models Tools: Python, Pandas, Scikit-learn, SQL Algos: KNN Sector: Real Estate

Development of a context based road risk model. Development of a model to predict the risk of road accidents according to geographical and temporal parameters: - Aggregation of accident data with meteorological and road traffic data, - Development of Bayesian risk models Tools: Dataiku, Python, Pandas, Scikit-learn, SQL, MongoDB,, AWS Algos: Naive Bayes Sector: Insurance

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

Creation of advertising campaigns with ML Creation of user segments for prospection campaigns, based on user on-line behavior: - Development of data storage pipelines - Development of user classification routines - Development of a data collection web API Tools: Java, Spark, Hbase, Jupyter, Python, C# Algos: Naive Bayes Sector: Advertising

Development of data quality tools Development and maintenance of tools to monitor the quality of the traffic information data produced by the content team: - Implementation of quality metrics - Design of visual interfaces for quality metrics - Evaluation of alternative data storage solutions Tools: C#, JavaScript, D3.js, Cassandra Sector: Transportation

Engineer for the Science Ground Segment (SGS) System Team, of the Euclid Project Design of the infrastructure to store and process the data collected by a scientific satellite: - Development of tools to visualize the Data Model - Development of a ‘testbed’ to assess the performance of Berkley DB, and comparison with other storage solutions Tools: XSD, Python, D3.js, C, Berkley DB, Oracle, HBase. Sector: Aerospace

Design of the infrastructure to store and process the data collected by a scientific satellite: - Maintenance of the “BUS”, a Java middleware responsible for provisioning within the MVNO aggregation platform of Sisteer. - Development, testing, and integration of new components, based on different protocols and technologies . Tools: Java, HTTP, FTP, XML, Webservices, SQL, Swing. Sector: Telecommunications

Design and development of innovative applications: - Design of a search engine using Latent Semantic Analysis (LSA). - Design of algorithms to perform clustering on a large dataset (1 year) of bank frauds . Tools: Java, Matlab. Algos: Latent Semantic Analysis, K-Means, Hierarchical Clustering Sector: Research

Deployment and maintenance of Winsure software solution: - Integration and delivery of new Wynsure versions; - Maintenance of the “mapping” between Wynsure and the Oracle DB. Tools: Wynsure, Oracle DB, Shell. Sector: Insurance

Statistical analysis and modeling of the channel for BAN networks: - Measurement of the transmission coefficients of the channel with a VNA. - Statistical modeling of the channel’s time response, as a function of different parameters (antenna type, antenna position, etc.). Tools: Matlab. Sector: Research

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. Tools: C. Sector: Medical

RF and Satellite Communications, Signal Processing, Image processing, Medical Applications

Digital Communications, Coding, RF Electronics, Computer Science, Real Time Systems, Signal Processing, Networks, Security.

Mathematics, Physics, Computer Science, Electronics, Communications, Signal Processing, Automatics, Networks, Databases, Robotics