Hadi Zare
Data Analyst Ra @Acis Lab
Signup · Get unlimited contacts
WORK HISTORY
Data Analyst Ra @Acis Lab
Victoria, BC, CA
Designed and implemented the Dynamic Attribute-aware (DAW) Transformer, an innovative multi-head attention model that improved next activity prediction accuracy by 3.69%.• Built an entropy-based model selection framework to dynamically recommend predictive models based on dataset complexity, achieving a 15% reduction in processing time.• Applied a range of machine learning and deep learning models—including Transformers, CNNs, LSTMs, Decision Trees, Random Forests, and XGBoost—across 6 public event log datasets for next activity prediction.• Worked as part of a 23-member interdisciplinary team, contributing strong problem-solving and critical thinking skills to address technical challenges and deliver novel solutions in business process modelling and AI.
EDUCATION
University of Tehran
Master's degree, Master of Business Administration
Sharif University of Technology
Bachelor's degree, Mechanical Engineering
University of Victoria
Master of Applied Science, Computer Engineering
ABOUT HADI ZARE
Hi, I’m Hadi — a data analyst, engineer, and lifelong learner passionate about bridging the worlds of technology, business, and data-driven decision-making. I help organizations unlock insights from complex data to fuel innovation, optimize processes, and drive impactful outcomes. My journey began with my thesis on “Predictive Business Process Monitoring Using Various Deep Learning and Machine Learning Algorithms,” where I discovered the power of data to reveal hidden patterns and opportunities. From research projects to analyzing business datasets, I have developed a strong foundation in analytical thinking and technical problem-solving. To broaden my expertise, I have pursued advanced courses in data analytics, data science, data visualization, machine learning, and business analytics, applying these skills in both academic and real-world contexts. Whether it’s building predictive models, visualizing complex trends, or optimizing workflows, I strive to turn raw data into actionable knowledge. Looking forward, I am excited to keep pushing the boundaries of engineering and analytics, creating solutions that not only solve problems but also empower people and organizations to thrive in a data-driven world. If you want to connect, collaborate, or explore how data and engineering can transform your work, feel free to reach out — I’m here to help.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.