Transforming data into impactful solutions and actionable insights for business growth.
As a Data Scientist with advanced expertise in Python, SQL, and NLP, my mission is to transform complex data into clear, actionable insights that drive innovation and deliver measurable results. I am passionate about leveraging statistical analysis, predictive modeling, and optimized data pipelines to solve real-world business challenges.
My journey into data science is fueled by a collaborative problem-solving spirit and a commitment to continuous learning. During my time as an AI Trainee at Samsung Innovation Campus, I developed predictive models and NLP solutions, including fraud detection tools, which led to a 20% improvement in data quality. I also designed Power BI dashboards that boosted stakeholder comprehension by 30%. My experience at the Digital Egyptian Pioneers Initiative involved fine-tuning GPT and BERT models, achieving 15% higher accuracy in text classification and sentiment analysis, and optimizing NLP workflows through prompt engineering for a 10% efficiency gain.
At SRTA, I collaborated in a multidisciplinary team to build a computer vision pipeline that achieved an 87% F1-score, enabling early diagnosis and reducing potential crop loss by 30% in simulation tests. My role at SMSM AI involved implementing NLP algorithms that improved processing efficiency by 20% and delivering text classification models with 90% accuracy, reducing manual effort by 15%. As a Data Analyst Intern at Technocolabs Softwares, I collected and analyzed over 10,000 data points, delivering insights that led to a 15% improvement in operational efficiency and contributed to a 10% increase in revenue growth.
My projects further highlight my capabilities: I built a Retrieval-Augmented Generation (RAG) system that improved question relevance by 30% for an interview simulation system , and I developed a style retrieval model for fashion image classification achieving 89% accuracy, alongside a recommender system integrated with Gemini, improving user satisfaction by 20%.
Proficient in TensorFlow, PyTorch, and cloud platforms like Azure and AWS , I combine strong technical skills (Python, SQL, NLP, Power BI, Git, Docker) with essential soft skills like collaborative teamwork, leadership, problem-solving, and effective communication. I am dedicated to delivering innovative, high-impact solutions that empower clients to make smarter decisions and achieve their business objectives.
Work Terms
Hours of Operation: I typically work Monday to Friday, 9:00 AM - 5:00 PM EEST. I am flexible and can accommodate urgent requests or adjust hours for global client time zones with prior arrangement.
Payment Terms:
Upfront Deposit: For all project-based work, a 30-50% upfront deposit is required before project commencement, depending on the project size.
Milestone Payments: For larger projects, payments will be structured around agreed-upon milestones.
Hourly Projects: Invoiced bi-weekly or monthly, with payment due within 7 days of invoice receipt.
Preferred Payment Methods: Bank Transfer (for local Egypt clients) and Payoneer or PayPal (for international clients). Details will be provided upon agreement.
Late Payments: A late fee of 5% per week may be applied to overdue invoices.
Preferred Communication Style:
Real-time: Google Meet, Zoom, or Microsoft Teams for scheduled meetings, project discussions, and complex problem-solving.
Quick Updates: Slack or WhatsApp for quick questions and urgent matters during working hours.
Project Management: I utilize project management tools (e.g., Trello or Asana if the client prefers) to keep all project tasks, deadlines, and communications organized and transparent.
I believe in clear, proactive communication to ensure project success and strong client relationships.