02/16/2023 updated
100 % available
MACHINE LEARNING ENGINEER
Salaberry, Canada BSc, Computer Science
- Experienced in python data manipulation for loading and extraction as well as with python libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations.
- Proficient in machine learning and deep learning skills for multiple applications including Computer Vision, Recommendation Systems and Natural Language Processing.
- Strong coding ability both in producing clean and efficient code as well as debugging and understanding large code bases.
- Extensive hands-on experience and high proficiency with structures, semi-structured and unstructured data, using a broad range of data science programming languages and big data tools including R, Python, Spark, SQL, Hadoop Map Reduce.
- Highly skilled in using pandas, NumPy, Seaborn, SciPy, matplotlib, NLTK in python for developing various machine learning algorithms.
- Proficient in machine learning and deep learning skills for multiple applications including Computer Vision, Recommendation Systems and Natural Language Processing.
- Strong coding ability both in producing clean and efficient code as well as debugging and understanding large code bases.
- Extensive hands-on experience and high proficiency with structures, semi-structured and unstructured data, using a broad range of data science programming languages and big data tools including R, Python, Spark, SQL, Hadoop Map Reduce.
- Highly skilled in using pandas, NumPy, Seaborn, SciPy, matplotlib, NLTK in python for developing various machine learning algorithms.
Languages
EnglishGood
Project history
* Reduced website responding time from 7s to 500ms by switching the raw SQL to stored procedure and trigger.
* Involved in Physical/Logical plan of database, creating and dealing with the database and all the database objects.
* Processed a lot of images and pdfs using OCR and data sciences.
* Implemented a lot of algorithms(GA, GP, Kalman filter, MVO, GWO, PSO, etc) in several engineering application.
* Implemented bot in Snapchat, Tiktok, discord and telegram
* Upgraded the pre-processing of the image to remove noise by the adaptive median filtering algorithm, which improves screening accuracy by 2%. Achieved breast cancer detection by building Faster R-CNN object detection model and adjusted the hyper-parameter to increase the accuracy from 85% to 93%.
* Consulted with managers to determine and refine machine learning objectives and developed ML algorithms to analyze huge volumes of historical data to make predictions.
* Involved in Physical/Logical plan of database, creating and dealing with the database and all the database objects.
* Processed a lot of images and pdfs using OCR and data sciences.
* Implemented a lot of algorithms(GA, GP, Kalman filter, MVO, GWO, PSO, etc) in several engineering application.
* Implemented bot in Snapchat, Tiktok, discord and telegram
* Upgraded the pre-processing of the image to remove noise by the adaptive median filtering algorithm, which improves screening accuracy by 2%. Achieved breast cancer detection by building Faster R-CNN object detection model and adjusted the hyper-parameter to increase the accuracy from 85% to 93%.
* Consulted with managers to determine and refine machine learning objectives and developed ML algorithms to analyze huge volumes of historical data to make predictions.
* Converted any scanned pdf or image to xlsx or csv.
* Implemented web scraping(crawling) from e-commerce sites(amazon, bestbuy, neweggs, etc)
* Generated/predicted gene based on experiment data using SVM and CNN.
* Visualized over 40 datasets with Matplotlib
* Implemented web scraping(crawling) from e-commerce sites(amazon, bestbuy, neweggs, etc)
* Generated/predicted gene based on experiment data using SVM and CNN.
* Visualized over 40 datasets with Matplotlib
* Worked with tables from MySQL/ PostgreSQL database with Python.
* Created software that helps you increase your rate of experimentation and make better decisions on what to explore next.
* Collaborated with multi-disciplinary product development teams to find possibilities for performance improvement and incorporate trained models.
* Performed cleansing operation on data generated from web logs with automated scripts in Python.
* Expertise in using PyTorch, TensorFlow, and Keras to train and deploy CNN, LSTM, and other Sequence models on Azure and AWS.
* Created software that helps you increase your rate of experimentation and make better decisions on what to explore next.
* Collaborated with multi-disciplinary product development teams to find possibilities for performance improvement and incorporate trained models.
* Performed cleansing operation on data generated from web logs with automated scripts in Python.
* Expertise in using PyTorch, TensorFlow, and Keras to train and deploy CNN, LSTM, and other Sequence models on Azure and AWS.