Alisa M.

Ai Ml Data Scientist Mobile Dev at Cbeeapps

Based in Toronto, Canada

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Seniority

Other

Department

Other

Location

Toronto

Industry

IT Services and IT Consulting

Company size

1 to 10

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a•••••••@••••••.com

Phone

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Background

About Alisa M.

As a professional with 7+ years of expertise in Software and Data Science, I help companies bring innovative and complex projects to life through my experience in research, coding, programming skills, machine learning, AI/ML models, and advanced data science techniques. My expertise includes developing predictive modeling solutions and leveraging cloud platforms. Some examples include- Document Processing Optimization: Saved the company significant expenses by utilizing ML technologies for the prediction and conversion of versatile accounting documents to standard accounting formats. Built solutions from scratch using AWS Cloud, SageMaker, Lambda, Step Functions, S3, and other ML frameworks, resulting in reduced document processing time and decreased manual errors. Leveraged cloud platforms for deploying scalable machine learning solutions and conducting advanced statistical analysis- Fraud Detection in Attendance: Generated substantial cost savings for the company’s customers by helping to develop AI/ML solutions to detect fraudulent employee attendance. Performed EDA, and statistical analysis, and utilized machine learning algorithms and AI/ML models for supervised/unsupervised learning to detect anomalies. Gained experience in Python, Scikit-learn, Pandas, NumPy, Decision Trees, and clustering algorithms like DBScan- Hackathon Participation: Extended and tested my knowledge and experience in data science by competing in a hackathon, securing 5th place among data science professionals. This experience sharpened my competitive edge and brought innovative ideas back to my team, improving our project outcomes. We worked with real-world data (Japanese bullet train customer experience), handled missing data and outliers, and experimented with various model training and fine-tuning techniques using libraries like Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn. I get excited about opportunities where I can turn data into valuable resources to solve challenges in the world of data science, particularly in areas such as machine learning, AI/ML packages, and cloud infrastructure. I love connecting with new people. You can reach me at alisa.mak@yahoo.com

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