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Hire Daniel R.

Canada

USD 100 /hr

Data Scientist and Machine Learning Engineer, M.Sc. | Skilled in Python, Data Science, Machine Learning, & AI

Profile Summary

Data Scientist and Machine Learning Engineer with strong analytical skills specializing in the following: • Applying data science, data analytics and visualization, machine learning, predictive modeling, business intelligence, and artificial intelligence • Drawing upon Physics, Medicine and Finance, Business, and Statistical domain knowledge to create comprehensive predictive and insightful models • Over 4 years of experience using Python and Python's scientific stack: Numpy, Scipy, Pandas, Matplotlib, Scikit-learn, Seaborn, Tensorflow • Utilizing the following Machine Learning techniques: Linear and Logistic Regression, Decision trees, Random Forests, NLP, AdaBoost, KNN, K-Means Clustering, and SVM • Using the following AI techniques: Kalman and Particle Filters, Search, Robot Planning, A*, PID Control for robot motion, PID Control SLAM (Simultaneous Localization and Mapping), Frames, Case-Based Reasoning, and Means-Ends Analysis • Applying knowledge and experience gained from an M.Sc. in Computer Science from the top worldwide ranking Georgia Tech (#8 US News & World Report) and a B.Sc. in Physics and Physiology with a Minor in (Business) Management from top-ranking McGill University • Using the following Languages and Tools: Python, R, SQL, Spark, Java, PHP, SSIS, Jupyter, Tableau, Amazon Web Services, Excel, Github, Linux, Security Projects Conducted a full Data Science project: Data Visualization and Modeling • Performed Data Mining and A/B testing in Tableau in order to help a bank understand Customer Churn Behavior • Applied Linear Regression, using Elimination, Forward Selection, and Bidirectional Elimination methods in order to advise a company on how much to spend on R&D vs. Marketing and Administration in different locations • Created a Robust Geo-demographic Segmentation Model using Logistic Regression in order to predict whether the bank customers would leave the bank or not Data Cleaning and Preparation • Cleaned data and looked for anomalies • Handled errors during ETL Phases 1 2, and 3 • Created Conditional Splits in SSIS • Created Scripts and stored procedures in SQL Machine Learning for Stock Trading Projects • Built a Stock Market Simulator and Predictor using Python and Pandas and used it to optimize a portfolio • Developed trading strategies using Technical Analysis, and then tested them using my market simulator • Implemented and evaluated a KNN learner, Linear Regression learner, and a Bootstrap Aggregating learner and transformed my regression learner into a stock trading strategy for IBM stock for 2010 and achieved a 31% ROI. Data Science and Machine Learning Python Jupyter Notebook Projects • Analysis of Credit Card Spending Behavior • Insights and Analysis on 911 Calls • Logistic Regression Project Predicting Customer Ad Click Behavior - Predicted correctly 91% of the time • Random Forest Project to Predict Loan Payback • Used lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. - Predicted correctly with 81% accuracy • Linear Regression – Predicting Housing Prices - Predicted with an average error of $82,228 • NLP project - Classify Yelp Reviews into Star Categories - Predicted with 92% accuracy • NLP project - Classify arbitrary unlabeled emails as spam - Predicted with 98% accuracy • Using K Means Clustering to cluster Universities in to Private/Public • Using SVM to predict Iris Flower Types - Predicted with 98% accuracy • Using SVM to predict Breast Cancer - Predicted with 95% accuracy Data and Visual Analytics • Conducted in-depth data cleaning, exploration, analytics and visualization on Netflix movie data providing valuable insights such as which ratings and metrics affect revenue • Conducted Logistic Regression and Classification on breast cancer data and predicted with 97% accuracy whether the cancer was benign or malignant • Conducted in-depth data cleaning, exploration, analytics and visualization on automobile and diamond data providing valuable insights such as the influence of diamond price versus carat weight according to diamond cut AI for Robotic Cars Projects • Successfully implemented an AI Agent to chase down and catch a runaway robot car • Successfully implemented an AI Agent to predicted the future trajectory of a randomly moving robotic insect (Hexbug) Knowledge-Based AI Agent to Solve Ravens Progressive Matrix Problems • Built an AI agent which can solve Ravens Progressive Matrix problem using concepts such as Frames, Case-Based Reasoning and Means-Ends Analysis Database Emergency Response System • Designed and implemented a complex web-based Database system for Emergency Resource Management System using SQL and PHP in a team Smart University Student Course Allocation System • Designed and built a student-course pairing program (using integer linear programming using the Gurobi Optimizer) in a team • Given student course schedules, pre-requisite rules, course availability, and enrollment limits, the program attempts to accommodate the maximum possible number of students within a given time period

Subject Matter Expertise

• ☆ Predictive Modeling & Analytics
• ☆ Cluster Analysis
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Artificial Intelligence
• ☆ SQL
• ☆ Java
• ☆ Tensorflow
• ☆ Tableau
• ☆ Scikit-learn

Services

• Writing
• Data & AI

Writing Technical Writing

Data & AI Statistical Analysis, Data Visualization

Work Experience

Data Science and Machine Learning Engineer

Datatac

March 2018 - Present

Machine Learning and Artificial Intelligence Engineer

Search3w

May 2017 - February 2018

Researcher

Montreal Neurological Institute and Hospital

May 2006 - May 2017

Research Student

NewYork-Presbyterian Hospital/Weill Cornell Medical Center

June 2005 - August 2005

Researcher for MRI Data Analysis

University of British Columbia

May 2004 - August 2004

Education

Masters of Science (Computer Science)

Georgia Institute of Technology

August 2014 - December 2016

Bachelors of Science Joint Majors in Physics and Physiology with a Minor in Management (Business) (Physics)

McGill University Faculty of Science

September 2004 - May 2007

Bachelors of Science Honour's Biophysics (Physics)

University of British Columbia

September 2002 - May 2004

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Bernhardt, B.C., Rozen, D.A., Worsley, K.J., Evans, A.C., Bernasconi, N., Bernasconi, A.(2009). Thalamo-cortical network pathology in idiopathic generalized epilepsy: Insights from MRI-based morphometric correlation analysis . NeuroImage. 46. (2). p. 373-381.