Younes Shokoohi
Winnipeg,MB
Summary
Machine Learning engineer with over 5 years of experience in building ML models and leveraging big data technologies. Skilled in Python, SQL, PySpark, and deep learning frameworks like TensorFlow and PyTorch. Experienced in developing predictive models and working with large datasets to deliver actionable insights that drive business results.
Overview
4
4
years of professional experience
Work History
Machine Learning Engineer
PART Financial Information Processing Inc.
Tehran, Iran
02.2020 - 04.2022
- Analyzed large datasets, uncovering trends and patterns to deliver actionable recommendations. Used PySpark for efficient big data processing, driving business growth and operational efficiency.
- Developed a credit scoring model using Gradient Boosting to assess creditworthiness, improving loan default prediction accuracy by 18% and strengthening risk management.
- Built predictive models to forecast sales and KPIs for omni-campaigns and eCommerce, increasing forecast accuracy by 15% and improving campaign decision-making.
- Developed an AI-powered customer support chatbot using Palm 2 (Chat-Bison) on Google Cloud Platform (GCP), NLP techniques, and LLMs, improving response times by 30% and automating inquiry handling, enhancing customer experience.
- Handled a dataset of 2 million debit card records for a major bank, using YOLO for object detection and PaddleOCR to extract card details for a mobile app, ensuring strict data security compliance.
Machine Learning Developer
Arya Fanavar Radman
Tehran, Iran
01.2019 - 01.2020
- Created an automated data pipeline to preprocess and clean large datasets, reducing data preparation time.
- Led the development of a sentiment analysis tool using NLP and deep learning techniques, improving customer sentiment classification accuracy by 11%.
- Engineered and cleaned large-scale datasets (up to 10TB) by applying data wrangling techniques, reducing data processing time by 40% and improving model accuracy by 15%.
- Designed data visualization dashboards using Power BI and Tableau to present machine learning insights, enabling data-driven decision-making and improving business planning.
Artificial Intelligence Intern
Shahab Inc.
Shahrood, Iran
03.2018 - 01.2019
- Assisted in building a predictive model to forecast customer behavior, improving model accuracy through data cleaning and feature engineering.
- Collaborated with senior data scientists to fine-tune machine learning algorithms, achieving a 5% increase in classification accuracy.
- Performed data preprocessing tasks such as data wrangling, cleaning, and normalization on datasets containing over 500,000 records, improving data quality for model training.
- Conducted exploratory data analysis (EDA) on large datasets using Python (Pandas, Matplotlib), identifying patterns and trends that supported model development.
- Worked on a small-scale NLP project, using pre-trained models to extract and summarize customer reviews, improving sentiment analysis for the business.
Education
Master of Science - Electrical And Computer Engineering
University of Manitoba
Winnipeg, MB07.2024
Bachelor of Science - Biomedical Engineering
Shahrood University of Technology
Iran03.2019
Skills
- Python
- SQL
- PySaprk
- Tensorflow
- PyTorch
- Big Data
- Predictive Modeling
- Deep Learning
- Machine Learning
- Natural Language Processing
- Feature Engineering
- Model Development
- Data Analytics
- Data Visualization
- Multitasking Abilities
- Problem-solving aptitude
Timeline
Machine Learning Engineer
PART Financial Information Processing Inc.
02.2020 - 04.2022
Machine Learning Developer
Arya Fanavar Radman
01.2019 - 01.2020
Artificial Intelligence Intern
Shahab Inc.
03.2018 - 01.2019
Master of Science - Electrical And Computer Engineering
University of Manitoba
Bachelor of Science - Biomedical Engineering
Shahrood University of Technology