درباره من
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.
تحصیلات
M
1388 - 1392
کارشناسی در رشته مهندسی کامپیوتر
دانشگاه آزاد مشهد - لیسانس
لیسانس در دانشگاه مشهد
M
1392 - 1394
کارشناسی ارشد در رشته علوم داده
UPMمالزی - فوق لیسانس
ارشد در دانشگا UPMمالزی
سوابق شغلی
M
1399 - 1399
Machine Learning Consultant
Tapway Sdn Bhd
• 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.
M
1396 - 1398
Senior Data Scientist
GoQuo
• 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.
M
1398 - 1400
Data Science Lead
Insuradar sdn bhd
• 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.
M
1400 - 1402
Senior Data Scientist (MLOps Engineer)
Axiata Digital & Analytics (ADA)
• 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
M
1402 - 1403
Data Science Manager
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.
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