Building Soda to monitor from data to decision

I love talking about: machine learning, data quality, decision making, post deployment data science, performance estimation, and bunch of other stuff. 

Always open to have a chat 🙂

Hakim Elakhrass

Nexialog Consulting

Manager R&D Data | Lead Data Scientist 

* Spearhead R&D in AI and data science, focusing on ethical data anonymization, LLMs, and explainable AI.
* Developing NexiaSynth, a cutting-edge data anonymization platform, enhancing data security in the financial sector.
* Designed and implemented interactive AI chatbots @MaineCoon for financial clients, boosting operational efficiency.
* Responsible for allocating resources / budget, ensuring constraints meet without compromising project quality.
* Conduct technical webinars, oversee talent development, and mentor junior team members.

Senior Consultant

Societe Generale

* Built and monitored a back-testing platform for risk models (PD, LGD, CCF), integrating ECB-regulated KRIs into predictive analytics workflows.
* Developed dynamic UI modules in R-Shiny for real-time data visualization.
* Implemented unit tests and automated processes using Python in an Agile environment.
* Documented deliverables adhering to the regulatory standards of the ECB.

IT Quant | Data Analyst | External Consultant

Euroclear

* Provided data-driven support to the Risk Management Department.
* Built Python-based simulations to model settlement instructions, achieving a 98% precision rate for stress testing.
* Automated financial reporting pipelines using Hadoop and SQL, streamlining the analysis of large datasets (+100GB).
* Built and monitored Power BI dashboards for real-time tracking of settlement activities and financial sentiment analysis.

Risk Management Advisor

Leano

* Designed and deployed ML pipelines for financial automation, achieving 96% AUC in invoice categorization.
* Reduced forecasting error rates to under 4% using exponential smoothing models.
* Streamlined deployment processes by dockerizing AI services in an Agile framework.
* Developed scalable ML solutions for a startup, addressing technical challenges while enhancing operational efficiency to meet critical SME needs.

Senior Data Specialist

Paris Transplant Group

* Benchmarked ML models for graft survival prediction post-kidney transplant, achieving a c-stats improvement to 88%.
* Processed and analyzed large datasets of 4,000+ transplant cases for clinical validation studies.
* Documented and presented findings in compliance with regulatory and academic standards.

Lead Data Scientist

ORT France

* Led predictive analytics initiatives within the H2020 European project @FINSEC, fostering collaboration among international stakeholders.
* Developed anomaly detection and behavioral analytics use cases for financial clients.
* Conducted training on AI and innovation for multidisciplinary teams.
* Documented project deliverables adhering to the regulatory standards of the European Commission.

Project Manager Europe

Laboratoire de Physique Nucléaire et de Hautes Energies  ( LPNHE - UPMC / IN2P3 / CNRS)

* Conducted data-driven research on dark matter detection, optimizing Monte Carlo simulations.
* Back tests of particle collision models with experimental data.
* Published findings in high-impact journals, including Nature and Physical Review Letters.

Postdoctoral Research Scientist

SISSA

Completed a Ph.D. thesis focused on Dark Matter and Rotation Curves of spiral galaxies, involving extensive data analysis of galaxy rotation curves using astrophysical measurements. Developed and maintained the software package DMROT in Wolfram Mathematica, enabling non-linear regressions, power-law correlation searches, and high-quality plot creation for a substantial database of galaxy rotation curves. Introduced an empirical method to address the local dark matter density problem, predicting virial radius, masses of spiral galaxies, and maximum rotational velocities. Conducted in-depth analyses of astrophysical data and galaxy images to extract stellar and gaseous mass contents. Investigated modified theories of gravity's phenomenology concerning Dark Matter. Authored and published articles, presented in seminars, and contributed to progress reports. Engaged in independent research beyond ongoing projects.

Doctor Philosophiæ in Astroparticle Physics

Abdus Salam International Centre for Theoretical Physics (ICTP)

I conducted groundbreaking research in particle physics, focusing on the Neutrinoless Double Beta Decay phenomenon and Physics Beyond the Standard Model during my dissertation. My work delved into the neutrino mass generation mechanisms, exploring Seesaw Mechanisms and the Left-Right Symmetry Theory. I performed rigorous analytical and numerical calculations for cross sections and decay rates related to neutrinoless double beta decay and sterile neutrinos. Beyond assigned projects, I actively pursued independent research, contributing to the advancement of our understanding in this complex and evolving field.

High Energy Physics Diploma Student

Institute of Cybernetics Mathematics and Physics

I conducted my master's thesis on magnetized strangelets at finite temperature, delving into the realm of phenomenological models in Quantum Chromodynamics. My research spanned topics like Quark-Gluon plasmas, Quark Condensates, Color Superconductivity, Quantum Field Theory at finite temperature, and the applications of Strong Magnetic Fields in Compact Objects. Utilizing Fortran-90, I developed numerical algorithms to solve nonlinear systems of equations, both integral and differential. Additionally, I implemented Molecular Dynamics simulations for solids in C++, employing the Velocity-Verlet algorithm. Complementing my research, I shared my knowledge by teaching tutorial lessons on Ordinary Differential Equations and Calculus of Variations to second-year students at the School of Physics, University of Havana.

Junior Researcher

Accomplished Data Scientist and AI-focused Project Manager with a Ph.D. in Astroparticle Physics and over a decade of experience leading innovative data science projects across finance, healthcare, and research. Expertise in AI development, data analytics, risk management, and business intelligence, with a proven ability to deliver impactful, ethical, and sustainable solutions. Adept at fostering collaboration across diverse teams and aligning project execution with strategic goals. Multi-lingual professional with advanced technical and leadership capabilities, ready to drive innovation in AI. Currently based in Paris with French nationality, I require no visa sponsorship in the European Space.

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The Battle

Hakim Elakhrass

Ernesto López Fune, PhD

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