Chemseddine Menakbi, Ph.D.

Chemseddine Menakbi, Ph.D.

Scientist - Computational Chemistry

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  • Timeline

  • About me

    Senior Data Scientist

  • Education

    • National Institute of Applied Science and Technology

      2007 - 2013
      Engineer's degree Industrial Chemistry
    • Ecole Nationale Supérieure de Chimie de Montpellier

      2014 - 2017
      Ph.D. Computational Chemistry
  • Experience

    • Ecole Nationale Supérieure de Chimie de Montpellier

      Mar 2014 - May 2017
      Scientist - Computational Chemistry

      Development of a multi-scale approach to study bio-polymers (Ph.D. Thesis)- Optimized/ Simulated quantum/classical models of alginate biopolymers in collaboration with experts experimentalists team- Automated input creation and output analysis- Analyzed geometrical properties, electric charges, and molecular orbitals composition- Refactored and implemented Monte Carlo modules for conformational study- Mentored two Master's trainees

    • Devoteam

      Jan 2018 - Aug 2020
      Data Science R&D Project Supervisor

      - Built a consultants career prediction model - Supervised three cross-functional project teams to build a Data Science/DevOps platform- Conducted daily meetings and follow-ups with project teams, managers and partners facilitating collaboration and communication between teams- Managed project deliverables quality- Administrated devops cloud platform: debugging python codes, Openstack platform, Jenkins pipeline- Wrote R&D progress reports generating 160K€ research tax credit

    • Selfcity

      Aug 2020 - Sept 2021
      Data Scientist (Computer Vision)

      - Built a model for one-shot learning and detection of heaters and plumbing materials- Built a plumbing malfunction description diagnosis model- Built a clients requests frequency prediction model- Containerized and deployed models on AWS and Clevercloud- Developed API to enable easy access to AI solutions- Built key business metrics Dashboards for management/support and finance teams

    • Renault Group

      Sept 2021 - Aug 2023

      Warranty claims classification- Implemented a state-of-the-art text classification framework leveraging BERT transformers to automatically classify car warranty claims based on their textual descriptions, enhancing the efficiency and accuracy of the quality team's classification process- Partnered with Hugging Face to access 'preview'/beta models and fine-tune them on domain-specific car warranty claims data- Conducted comprehensive data preprocessing and quality checking procedures- Conducted extensive benchmarking of multiple models and GPUs optimizing computational efficiency- Designed and developed a dynamic dashboard using Streamlit Show less

      • Senior Data Scientist / Data Engineering (Pipelines, Dashboards)

        Jul 2022 - Aug 2023
      • Senior Data Scientist (NLP)

        Sept 2021 - Jul 2022
    • MENAPS

      Sept 2021 - Sept 2023
      Lead Data Scientist (NLP, Computer Vision, Time Series)

      Team Lead- Supervised data science team : defining projects roadmaps, attributing tasks, animating meetings and ensuring deliveries quality- Collaborated closely with product managers, engineers, clients and business leaders, to translate business requirements into analytical solutions - Designed and implemented innovative data science solutions, including text classification, Information extraction, OCR, Time series Anomaly detection algorithms to solve challenging business problems- Animated technical interviews for recruitment Show less

    • SKourcing by MENAPS

      Sept 2021 - Feb 2022
      Lead Data Scientist (NLP, Computer vision, OCR)

      CV informations extraction- Implemented end-to-end codes to extract structured information from unstructured CVs, including parsing, tokenization, named entity recognition (NER), and entity linking, enabling automated processing of CVs- Developed algorithms to parse and extract relevant text sections from CV documents, (personal information, education history, work experience, skills, certifications) using regular expressions and rule-based parsing and Q&A Transformers models- Implemented an API to integrate the information extraction system with HR management system Show less

    • Stellantis

      Oct 2021 - Apr 2022
      Senior Data Scientist (Knowledge graphs)

      Knowledge Graph for information retrieval- Integrated heterogeneous data sources to create a unified knowledge representation of multiple BoMs and Modelling tools.- Applied graph analytics algorithms to analyze the structure and topology of the knowledge graph- Conducted thorough data cleaning and preprocessing tasks (missing value imputation, outlier detection)- Deployed a graph database (Neo4j) as the underlying storage infrastructure

    • Stellantis

      Jan 2023 - Aug 2023

      Vehicle Sensors Signals Analysis & Anomaly Detection for car usage description- Conducted in-depth statistical analysis of car sensors times series to build mission profiles helping engineering team dimensionning vehicle parts- Implemented data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of car sensors signals- Deployed anomaly detection algorithms (stats + ML)- Created dynamic and interactive dashboards on PowerBI- Conducted analysis of driver behaviors (clustering) Show less

      • Lead Data Scientist (pipelines, dashboards)

        Apr 2023 - Aug 2023
      • Senior Data Scientist (Time Series, Clustering, Anomaly detection)

        Jan 2023 - Jul 2023
    • Ravity Software Solutions Pvt. Ltd.

      Jan 2023 - Jun 2023
      Lead Data Scientist (Time Series, Clustering, anomaly detection, dashboarding)

      Car predictive maintenance- Integrated data from multiple car sensors to capture comprehensive insights concerning health of the vehicles- Implemented anomaly detection algorithms to identify deviations from normal operating conditions- Conducted extensive feature engineering and selection to extract relevant patterns and indicators of impending failures from the sensor time signals- Developed predictive maintenance models using machine learning algorithms

    • Replick

      Nov 2023 - May 2024
      Senior Data Scientist (NLP, LLM, RAG)

      Legal Advisor Chatbot Development- Implemented state of the art R.A.G. system and leveraging LLM to build a legal advisor chatbot- Engineered information retrieval pipelines using semantic search on vector database- Incorporated knowledge graph metainformation to enrich prompts context- Engineered context-aware prompts to synthetize informations and return grounded answers to lawyers

    • Rhozeta

      Apr 2024 - now
      CEO
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Chemseddine Menakbi, Ph.D.
      3 years Ph.D. Scholarship TOTAL / National Graduate School of Chemistry of Montpellier Mar 2014