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 بهینه‌سازی عملکرد. مسلط به ابزارهای متعدد و زبان‌های برنامه‌نویسی و توانایی بالا در حل مسائل پیچیده و ارائه راهکارهای نوآورانه.

Farshid Hossein Nejad
Farshid Hossein Nejad

تحصیلات

- لیسانس در دانشگاه مشهد
1388 - 1392 دانشگاه آزاد مشهد - لیسانس کارشناسی در رشته مهندسی کامپیوتر
- ارشد در دانشگا UPMمالزی
1392 - 1394 UPMمالزی - فوق لیسانس کارشناسی ارشد در رشته علوم داده

سوابق شغلی

- • Optimized the Vehicle Track system, elevating AI model performance by 20%, which significantly enhanced vehicle classification accuracy and ANPR efficiency, contributing to improved security and operational effectiveness. • Conducted a comprehensive resource optimization analysis, identifying and implementing efficiency improvements that culminated in a 15% reduction in operational costs, all while fully maintaining alignment with strategic business goals.
1399 - 1399 Machine Learning Consultant - Tapway Sdn Bhd
- • 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.
1396 - 1398 Senior Data Scientist - GoQuo
- • 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.
1398 - 1400 Data Science Lead - Insuradar sdn bhd
- • 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
1400 - 1402 Senior Data Scientist (MLOps Engineer) - Axiata Digital & Analytics (ADA)
- • Directed an 8-person team to develop a centralized data mart, achieving a 20% improvement in data accessibility and streamlining project workflows. • Championed a cross-functional project using AWS Redshift and SageMaker, enhancing data processes and analytics, which resulted in a 20% increase in efficiency and a 15% uptick in lead conversion rates.
1402 - 1403 Data Science Manager - Axiata Digital & Analytics (ADA)

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