I co-founded BinatnaData to redefine learning in Data Science and Python. As a Trainer, I specialize in simplifying complex data concepts, delivering courses in Darija to ensure accessibility for all learners. Thrilled to lead a dynamic community at BinatnaData, fostering collaboration and demystifying the world of data. Join me in transforming data apprehension into expertise.

--> Manage, Review And AnalyzeCustomer Requirements.--> Design And Develop Al Solutions.--> Manipulate And Visualize Data.--> Extract Knowledge From Raw Data.--> Transforming Data Into Insights.--> Sequence-to-Sequence Project:• Gathered time series data from various sources.• Developed a Python script pipeline to extract relevant data from raw files and store the processed data efficiently.• Performed data preprocessing, including interpolation, normalization, and mapping of input-output pairs.• Defined and implemented the model architecture for sequence-to-sequence learning.--> Technologies: Databricks, Snowflake,Datalab, Python, Pandas, Jupyter Notebok,JSON, Git, Excel, Power BI.

--> Project Management and Analysis: • Successfully managed, reviewed, and analyzed diverse customer requirements, ensuring precise understanding and alignment.--> Automotive Automation Projects: • Led multiple projects focused on automating automotive systems evaluation using a variety of technologies. • Implemented deep learning models for real-time analysis of driving video, enhancing decision evaluation for CAN systems. • Developed and applied advanced deep learning models to extract insights from CAN and video data. • Transformed data outputs into valuable time-series information, facilitating informed decision making processes.--> Natural Language Processing (NLP) and Efficiency Improvement: • Implemented a highly effective deep learning solution for automatic verbatim classification. • Significantly reduced manual classification time, leading to a 30% increase in team productivity.--> Computer Vision: • Developed a robust deep learning model for accurate object detection, specifically targeting license plates and faces.--> Analytics Studies and Optimization: • Conducted impactful sensitivity studies to optimize field of vision parameters and blurring thresholds.--> Data Science Development and Visualization: • Developed Jupyter notebooks for efficient calculation of Key Performance Indicators (KPIs). • Utilized PySpark and Pandas for effective data manipulation and created visually appealing Power BI reports.--> Collaboration and Innovative Solutions: • Designed and deployed innovative applications, enhancing data collection processes and team collaboration.--> Tools and Technologies: • Python, Jupyter, Pandas, PySpark, OpenCV, JSON, GitHub, Hadoop, Oracle SQL Developer, Power BI, Excel, Pytorch, Tensorflow, Airflow, PowerApps, SharePoint, Power Automate.

• Taking responsibility for testing upcoming software versions, such as GlyphWorks and identifyingissues.• Creating and managing JIRA tickets for each issue, collaborating with other team members to trackprogress and promote resolutions.

--> Construction of a web application for the management of mission orders:• Creation - Validation - Printing• Technologies: Spring boot, Spring security, Java, Angular.--> Development of an employee time and attendance application:• Establish connection with an external API.• Find employee transactions (date and time stamp by fingerprint or by face).• Calculate working hours for each employee per day, for a selected period.• Download the generated Excel file.• Technologies: Python, Pandas, Streamlit.--> Realization of a web application for the publication of news:• Creation, modification and consultation.• Management of the users of the application.• Upload / download files.• Technologies: Spring boot, Spring security, Websocket, Java, Angular.--> Creation of a static website using Wordpress with Divi builder.

--> Built a deep learning solution that is capable of detecting and extracting the handwritten amount in letters from scanned bank checks. • Detect handwritten words in the amount section. • Crop each word. • Recognize and extract the word in the cropped image. • Group the words to get the exact amount. • Execution time is 0.2 seconds for each bank check.--> Designed a deep learning model for anti-spoofing detection, using multiple approaches: • Deep one class learning. • Binary classification.

• Designed the conception of the application• Defined the classes• Linked the backend with the frontend

• Designed and developed a responsive web application for maintenance management, like materials managing.• Deployed in free domain as well as a free hosting, which are offered by Heroku.• You can find below a link to this app: Try logging with this user account:username: testpwd : test