Fatim Zahrae Ait Hamou Aadi
Development
Casablanca, Morocco
Skills
Data Science
About
Fatima Zahrae's skills align with Programmers (Information and Communication Technology). Fatima also has skills associated with IT R&D Professionals (Information and Communication Technology). Fatima Zahrae appears to be a low-to-mid level candidate, with 5 years of experience.
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Work Experience
WINCOM
January 2023 - December 2023
Context
October 2023 - October 2023
- Led development of a fetal ultrasound solution, including weight and age detection, using advanced deep learning models. Specified and implemented key features to enhance performance. Established an evaluation pipeline for generating KPIs, communicated insights, and contributed to comprehensive solution documentation. Completed tasks: ∠ Developed a comprehensive evaluation pipeline for our instance segmentation model, employing metrics like Average Precision, recall, precision, Dice coefficient, IOU, and a confusion matrix for enhanced model assessment. ∠ Led the creation of a specialized medical study evaluation pipeline, ensuring precise measurement of biometric fetal metrics by emulating methods used by medical professionals. ∠ Colaborated in the integration of computer vision solutions, contributing to the full automation of fetal ultrasound evaluation. ∠ Assessed data requirements, including availability, quality, volume, criticality, and labels, to determine the most suitable data for analysis and modeling. ∠ Conducted code reviews. Analyzed and extracted valuable insights from state-of-the-art research to enhance model performance. ∠ Communicated key performance indicators (KPIs) with investors, ensuring transparency and alignment with project goals. ∠ Created detailed documents and communicated findings with both doctors and the management committee. ∠ Contributed to the documentation required for FDA submission, ensuring compliance and adherence to regulatory standards. ∠ Collaborated with the MLOps team for the integration of our solution, ensuring operational efficiency and system reliability. ∠ Held regular team meetings to ensure smooth task execution and collaboration. Technical Environment: Python (Jupyterlab, Vs Code), GIT, Data Management with Pandas, multiprocessing, Pytorch, Linux, Azure, Excel, Docker. Functional Environment: Drafting specifications,Generate KPIS, Functional and Technical report, Business meeting.
Senior Computer Vision
ARTEFACT
September 2023 - September 2023
Computer Vision Engineer
Context
January 2023 - January 2023
- focusing on delivering efficient and effective solutions for complex data-related challenges. Worked collaboratively with clients and team members to understand project requirements and ensure successful outcomes. Completed tasks: ∠ Conducted code reviews to provide valuable feedback and mentorship to junior team members, enhancing code quality and promoting best practices. ∠ Explored and cleaned data, ensuring high-quality datasets for analysis and modeling. ∠ Leveraged comprehensive model knowledge to identify and select appropriate models for various problem domains, demonstrating an understanding of their strengths and applications. ∠ Developed complex and high-performance models through the creation of combinatory approaches and advanced algorithm designs ∠ Optimized models by extensively testing their performance using AI/ML performance measures. ∠ Played a key role in one of the company's most impactful projects aimed at combating retail fraud, which subsequently won the first prize for innovation and effectiveness. ∠ Contributed expertise in developing cutting-edge solutions, resulting in the successful deployment of the anti-fraud system in 1500 stores, solution achieved a 95% fraud detection rate, resulting in multimillion-dollar savings for our client. ∠ Conducted in-depth analysis of large-scale marketing campaigns data, utilizing SQL queries within BigQuery to address various business requirements. Proficiently generated interactive dashboards using LookerStudio to visualize and communicate key insights ∠ Collaborated in an external project to propose innovative solutions based on generative AI algorithms. Technical Environment: Python (Jupyterlab, Vs Code), GIT, Data Management with Pandas, multiprocessing, Pytorch, Linux, GCP, GPU, Jira. Functional Environment: Drafting specifications, Functional and Technical report, Business meeting.
MARS
January 2022 - December 2022
- BY IBM ON COURSERA.
AIEYEON
January 2022 - June 2022
- BASED ASSISTING SYSTEM FOR OBSTACLE AVOIDANCE F.Z AIT HAMOU AADI, A.SADIQ, THE INTERNATIONAL WORKSHOP ON COMPUTING SCIENCES (WCOS'22) ON JUNE 20, 2022. PROPOSED REAL-TIME OBSTACLE DETECTION SYSTEM FOR VISUALLY IMPAIRED ASSISTANCE BASED ON DEEP LEARNING
Data and Software Engineer | Freelancer| Mass DM Bot
Tangier
April 2022 - April 2022
- Context: Development of a mass direct messaging (DM) bot that scrapes users on Instagram who have an interest related to the client's product, then contacts those users by sending them a direct message. And a user-friendly interface that allows two-way communication with the reboot. Completed tasks: ∠ Analysed the market and understood the business ∠ Provided the modeling of database, Designed and choose and documented the technical environment. ∠ Implemented a user-friendly interface that allows the client to communicate with the robot and monitor its performance using django. ∠ Created 2 microservices, First microservice scrapes 100K Instagram users interested in the client's product, and second is a messaging service that contacts over a 50K users per day, using 1K Instagram accounts. ∠ The solution reduces the client's monthly expense for a similar purchased solutions by 60%. ∠ Deployed the project in production and monitored the preparation of the environment. ∠ Held regular meetings with the client and ensured user training. Technical Environment: Python (JupyterHub, Vs Code), Postgresql, GIT, API, Data Management with Pandas, Api flask, Instgrapi, Graphql APIs, docker, multiprocessing, Django, SQL Query, Linux. Functional Environment: Drafting specifications, Functional and Technical report, Business meeting.
F.Z AIT HAMOU AADI, A.SADIQ, INTERNATIONAL JOURNAL OF ADVANCED TRENDS IN COMPUTER SCIENCE AND ENGINE
January 2021 - December 2021
- A PROPOSED IOT APPROACH BASED VISION FOR VISUALLY IMPAIRED PEOPLE ASSISTANCE F.Z AIT HAMOU AADI, A.SADIQ, F.Z. CHAFI, INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DE- VELOPMENT APPLIED TO AGRICULTURE, ENERGY, HEALTH, ENVIRONMENT, INDUSTRY AND ECONOMY, AI2SD'2020 INTRODUCTION TO INTERNET OF THINGS' COMMUNICATION PROTOCOLS F.Z. CHAFI, Y. FAKHRI, F.Z. AIT HAMOU AADI, INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT APPLIED TO AGRICULTURE, ENERGY, HEALTH, ENVIRONMENT, INDUSTRY AND ECONOMY, AI2SD'2020 INTRODUCTION TO THE ENVIRONMENT UNDERSTANDING FOR THE VISUALLY IMPAIRED ASSISTANCE: OBJECT DETECTION AND IMAGE SEGMENTATION F.Z AIT HAMOU AADI, A.SADIQ, A. SOUHAR, 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES, ICDS
AT THE THIRD INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS
January 2021 - January 2021
- FOR SUSTAINABLE DEVELOPMENT TANGIER - MOROCCO
BY DEEPLEARNING.AI ON COURSERA
May 2020 - May 2020
- IMPROVING DEEP NEURAL NETWORKS: HYPERPARAMETER TUNING, REGULARIZATION AND OPTIMIZATION. DECEMBER 2019
Lead Data Department| Data Engineer
3WMEDIA
December 2019 - December 2019
- Context: Construct systems that collect, manage, and convert unprocessed data into usable information, as well as preprocess, index, and store this data from various Data Sources. Moreover, the creation of microservices, data pipelines, and API interfaces. Providing daily statistical reports and alerts to subscribers of Imperium. Completed tasks: ∠ Designed, built and mnitored ETL/ELT piplines with native python and Airflow. ∠ Fostered excellent partnerships and provided proactive thought leadership in the conception of services that enable our clients to defend their brand reputation and oversee all social listening. ∠ Eliminated redundant Steps in its Data analysis processes by creating services, boosting the time of data collection by 30% rate. ∠ Re-designed and optimized a critical ingestion piplines which increased the volume of processed data by 40%. ∠ Collected, cleansed, and provided modeling and analyses of structured and unstructured data used for business projects. ∠ Led, designed, and developed advanced predictive machine learning projects from beginning to end visualinzing, preprocessing, analyzing complexe data, data cleaning and aggregation, deploying machine learning models using python with docker. ∠ Analyzed, visualized and created reports from statistical data to be delevered to custumers. ∠ Delivered analytical reports to customers with up-to-date data. Technical Environment: Python (Jupyter, Vs Code), Anaconda, Pytorch, GIT, Airflow, Requests, Selenium, Graphql, API, Postgresql, SQL Request, Redis MySQL, MongoDb, Matplotlib, Excel, Docker, Kubernetes, pyspark. Functional Environment: Management of customer issues, Verification and validation of data collection pipelines, Writing reports, Supervising trainees.
Master Computer Science
January 2017 - December 2017
- Final Project: The arabic handwriting recognition using Freeman approach (Matlab)
Data scientist, 3WMEDIA
Casablanaca
February 2017 - February 2017
- Context: Developing computer vision, NLP, and audio analysis based solutions. Additionally responsible for the analysis, exploitation, and compilation of data in accordance with customer specifications and requirements. And the development of predictive models to ease decision-making. Completed Tasks: ∠ Met business managers, marketing to discuss product ideas. ∠ Identified valuable data sources and automate collection processes. ∠ Built, tested, maintained and optimized database architectures. ∠ A facial recognition system for Moroccan celebrities in newspapers was developed, resulting in a 30% improvement in identification speed and accuracy. ∠ A Moroccan brand recognition model was created for analyzing campaigns and accurately classifying them in video feeds. ∠ A visual search engine was developed using deep learning that accurately finds related images in a large dataset. ∠ Used deep learning to compress photos without compromising quality. ∠ Collaborated with the Engineering and Marketing department on product feasibility. ∠ Redesigned of existing products to improve functionality or reduce cost. ∠ Presented product designs to management. ∠ Troubleshooted product issues and supervised the production process. Technical Environment: Python (Jupyter, Vs Code), Anaconda, Pytorch, Pyspark, GIT, Apache Airflow, Requests, Selenium, Postgresql, MongoDB, SQL Request, Matplotlib, Excel, Docker, Kubernites, Redis, windows server, Linux. Functional Environment: Management of customer issues, Verification and validation of data collection pipelines, Writing reports, Supervising trainees, Code reviewing. ƃ EDUCATION
Faculty of science the MISC laboratory
January 2024 - Present
- Ph.D. Thesis in Computer vision, Faculty of science the MISC laboratory, Kenitra, Morocco Project name: "Environment analysis and Obstacle detection for the visually impaired assisting systems"
Lead Data science
DEEPECHO
May 2024 - Present
Education
COURSERA
