Data Scientist

Mehrdad Aghabozorgi

T: 647-***-**** E: ************@*****.*** W: linkedin.com/in/mehrdad-aghabozorgi-7a635116b/ Toronto

Professional Summary

Data Scientist with 3+ years of experience executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems with strong ability to work well as a team member and leader with an exceptional work ethic.

Skills and Proficiencies

Machine Learning:

Linear regression, hierarchical linear model, logistic regression, random forest, boosted decision trees, naive Bayes, SVM, k-means clustering, Gaussian mixture model, KNN, Gradient Boosting algorithms

Programming languages:

Python, SQL, R, MATLAB and C++

Big Data Frameworks :

Hadoop, HIVE

BI Softwares :

Tableau, Power BI, IBM Watson Analytics

Experience with mathematical and statistical Python libraries such as pandas, scikitlearn, NumPy, SciPy, TensorFlow, Keras, Matplotlib

Career History

Data Analyst 2018–Present

CogecoPeer 1, Toronto Canada

Responsible for migrating data from legacy systems to an entirely new fully capable sales management system, provisioning and billing application built on Salesforce platform

Perform analysis and data profiling using database tools such as SQL, SSIS and Microsoft Excel

Interpret data from primary and secondary sources using statistical techniques and provide analytical reports to senior management.

Execute statistical models for hypothesis testing to validate data and interpretations

Develop an innovative fully functional set of Python codes to extract, transform and load data (ETL) into the newly integrated application

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Mehrdad Aghabozorgi

T: 647-***-**** E: ************@*****.*** W: linkedin.com/in/mehrdad-aghabozorgi-7a635116b/ Toronto

Junior Data Scientist 2015 – 2016 PALMIS LTD, Tehran Iran

Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy

Use NLP algorithms for text recognition and classification by using NLTK and Spacy

Train a neural network using tools such as TensorFlow, Keras, and SciPy for detecting abnormalities based on radiology images.

Conduct advanced statistical analysis and create reports and visualization tools to illustrate statistical significance of experimental results and identify trends

Junior Data Analyst 2013 – 2015

TAHA LTD, Tehran Iran

Assisted senior management with data collection and analytics for identifying opportunities to streamline and improve processes

Programmed SQL script to aid data interrogation and investigations

Developed presentation materials for complex data visualizations and business reports

Provided insight analysis, data mining and information performance reviews based on client’s big data for decision making improvement

Academic Qualifications

Post-Graduate Certificate - Big Data Analytics Georgian College

Bachelor of Mechanical Engineering University of Tehran

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