رزومه من
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Farshid Hossein Nejad
امتیاز 0 (بسیار خوب) پروژه های موفق به عنوان فریلنسر: 3 پروژه های موفق به عنوان کارفرما: 0گزارش عملکرد:
عملکرد به عنوان : مجری
- تعداد پروژه های انجام داده : 3
- مجموع امتیاز خام : 0
- تاریخ آخرین ورود : 1/1/0001 12:00:00 AM
- تاریخ عضویت : 1403/8/16
متخصص توسعه وب، تحلیل داده و یادگیری ماشین با بیش از هشت سال تجربه در شرکتهای معتبر بینالمللی. دارای تجربه گسترده در پروژههای مختلف از توسعه سیستمهای وب و تحلیل دادهها گرفته تا پیادهسازی مدلهای یادگیری عمیق و بهین
Senior Data Scientist
Senior Data Scientist
• Launched an automated hotel recommendation system, generating a $150k revenue increase for Southeast Asian airlines. • Developed a Room Mapping API for AirArabia, improving room classification accuracy from 64.5% to 85%, and enhancing the customer booking journey. • Introduced a semantic-based tag extraction system, increasing daily online hotel bookings by 40%, and significantly boosting e-commerce growth. • Designed a Bot Detection system with 82% precision for Asian airline booking engines, reducing response times to under 2 seconds and improving user experience and security.
مشاهدهData Science Lead
Data Science Lead
• Designed an AI-powered OCR framework, enhancing document processing with 87% accuracy and achieving a 30% improvement in processing efficiency for key industry players. • Developed deep learning features for an OCR platform to detect the object and documents classification, achieving 92% data precision and a 35% increase in document management efficiency. • Infused the OCR system with an NLP post-processing workflow, utilizing advanced layout parsing and entity recognition, which boosted data processing accuracy by 90% and user operability by 30%. • Created a Decision-Making System using 12 Classifier Models, which enhanced decision accuracy by 50% and reduced time by 35%, boosting strategic operations. • Led the rollout of a Model Lifecycle Management System, optimizing machine learning workflows to reduce runtime by 37%, resulting in significant cost savings.
مشاهدهSenior Data Scientist (MLOps Engineer)
Senior Data Scientist (MLOps Engineer)
• Engineered and deployed scalable MLOps pipelines, achieving a 40% reduction in processing times and a 30% cut in resource use, elevating operational efficiency. • Developed a Demographic Model for telco customer data across 9 countries, improving data accuracy by 15% and aiding strategic decisions. • Crafted a predictive model for customer churn, achieving a 13.5% reduction over 6 months, thereby increasing customer retention and revenue. • Drove a cross-disciplinary project merging Telco and Credit Bank data, creating a Credit Score Model with a 0.6 Gini coefficient, advancing credit risk analysis and decision-making.
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