MBAbout Melek
I help businesses streamline their processes and boost efficiency with AI-driven solutions, automation, and data analysis. With hands-on experience in building and deploying machine learning models, developing smart chatbots, and designing user-friendly web platforms, I bring both technical expertise and problem-solving skills to every project. I’ve worked on projects ranging from predictive SMS campaign platforms to adaptive learning paths and CRM workflow automation.
I can support you with:
- AI & Data Science: model training, evaluation, deployment (Python, scikit-learn, FastAPI)
- Automation: API integrations, chatbot development, workflow optimization
- Web Development: responsive UI/UX (HTML, CSS, JS), cloud deployment (Azure, Docker, Supabase)
- Data Analysis: data collection, cleaning, visualization, and actionable insights
Multilingual (English, French, Arabic, German, Spanish) and highly adaptable, I thrive in collaborative environments and ensure deliverables are both effective and easy to use.
Arabic
Native or bilingual
English
Fluent
French
Native or bilingual
German
Conversational
Spanish
Basic
Remote only
Primarily works remotely
Experience
- WellpackAutomation & AI project managerCONSULTING AND AUDITSApril 2025 - July 2025 (3 months)Paris, France
- Developed and deployed a Smart SMS Campaign Platform integrating ML models for message scoring, orientation classification, and optimal send-time prediction.
- Built and tested automated data pipelines using Python (pandas, BeautifulSoup) for SMS scraping, cleaning, and feature engineering.
- Trained and evaluated RandomForest models to predict campaign success.
- Designed and implemented a responsive web interface (HTML/JS) for campaign creation and message generation, with user-friendly validation and navigation.
- Deployed ML models in a browser-accessible internal platform for Wellpack employees, including login/authentication system for secure access.
- Participated in developing AI-powered chatbots to automate CRM (Pipedrive) operations and email workflows, improving internal efficiency.
- Containerized applications using Docker and stored model artifacts and metadata in a Supabase-powered database for reproducibility and scalability.
- Deployed web apps to Microsoft Azure App Services, enabling company-wide access to ML predictions, dashboards, and automation tools.
- Collaborated with a cross-functional team on data visualization, demo preparation, and project soutenance, receiving executive approval for further development.
- SH A PRODUCTIONSData Analyst InternEDUCATION AND E-LEARNINGApril 2024 - May 2024 (1 month)Paris, France
- Collecting and Analyzing Data on Governance Risk and Compliance in AI.
- Developing Recommendations for an Adaptive Learning Path tailored to each user’s profile.
- Applied advanced text-processing algorithms for data categorization.
- AI Clinic of AivancityAivancity Student Admissions ProjectEDUCATION AND E-LEARNINGSeptember 2023 - December 2023 (3 months)Paris, France
- Led a team of five in managing the school's applicant database.
- Analyzed admission data, and helped develop an AI model to predict acceptance at Aivancity.
- Set objectives, divided tasks, and collaborated on a Python program.
- Compiled team efforts into a power point presentation.
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Education
- -Master enAivancity, La Grande Ecole De L'intelligence Artificielle Et De La Data2029-Master en