Armita Kharmandar
Victoria,BC
Summary
- Effectively communicate with cross-functional teams, translating complex machine learning concepts into understandable insights.
- Demonstrate adaptability by staying current with the latest advancements in machine learning and related fields.
- Exercise meticulous attention to detail during the development, testing, and implementation of machine learning models.
Overview
3
3
years of professional experience
Work History
Teaching Assistant
University Of Victoria
01.2022 - Current
- Collaborated with fellow teaching assistants to create a consistent and supportive learning environment for students.
- consistently enhanced strong analytical and problem-solving skills through proactive engagement with diverse student needs, fostering a dynamic learning environment.
- Provided one-on-one tutoring sessions for struggling students, leading to increased understanding and improved grades.
- Designed and implemented engaging classroom activities, resulting in higher student interest and motivation.
Business Data and System Analyst
Yasha Electronic Company
01.2021 - 07.2022
- Applied price prediction models to analyze historical pricing data, optimizing buying and selling strategies and enabling a 15% profit margin increase.
- Utilized sales forecasting techniques to analyze historical sales data, optimizing inventory levels, pricing strategies, and informing decisions on staffing and resource allocation.
- Implemented a sales lead prioritization system, analyzing lead data to identify high-conversion leads based on inventory, optimizing sales efforts, and resource allocation.
Education
Master of Science - Electrical And Computer Engineering
University of Victoria
Victoria, BC01.2025
Skills
- Proficient in Python and MatLab
- Experienced with TensorFlow and PyTorch
- Strong skills in data manipulation libraries (eg, Pandas), statistical analysis, and data visualization tools (eg, Matplotlib, Seaborn)
- Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep neural learning, and reinforcement learning
- Strong foundation in mathematical concepts such as linear algebra, calculus, and statistics
- Feature Engineering
- Model Evaluation and Hyperparameter Tuning
- Natural Language Processing (NLP)
- Computer Vision
Accomplishments
- Box Office Success Prediction using Self-Acquired Movie Dataset
- Implementation of Low-Light Image Enhancement via Illumination Map Estimation
- Smart Cab Driver Game with Reinforcement Learning
References
Professor Amirali Baniasadi:
Supervisor
Electrical Engineering coordinator
Contact: amiralib@uvic.ca, 250-721-8613
Professor Alex Thomo:
Supervisor
Computer Science Professor
Contact: thomo@cs.uvic.ca, 250-472-5786
Timeline
Teaching Assistant
University Of Victoria
01.2022 - Current
Business Data and System Analyst
Yasha Electronic Company
01.2021 - 07.2022
Master of Science - Electrical And Computer Engineering
University of Victoria
Similar Profiles
Alicia WardAlicia Ward
Teaching Assistant at University Of VictoriaTeaching Assistant at University Of Victoria
Breanna EllBreanna Ell
Research Assistant, Child Development Lab at University of VictoriaResearch Assistant, Child Development Lab at University of Victoria
Misty Dawn StephensMisty Dawn Stephens
Content Expert and Health Professional Instructor at University of VictoriaContent Expert and Health Professional Instructor at University of Victoria
Fuyu LiFuyu Li
Research Analyst at University of VictoriaResearch Analyst at University of Victoria
Pragati ShrivastavPragati Shrivastav
Branch Manager & Lending Specialist at EasyFinancial ServicesBranch Manager & Lending Specialist at EasyFinancial Services