Data Scientist/ Data Analyst

SHIMA AGHTAR

647-***-**** *****.******@*****.*** www.linkedin.com/in/shimaaghtar

Professional Experience

Business Intelligence & Data Analyst [03/2013 – 09/2016]

PointClickCare

● Performed ad-hoc analysis for key issues and opportunities, such as enhancing company operation, reducing support desk cases, expanding new market opportunities

● Defined and created dashboards and reports to assist management in making operational decisions

● Lead BI developers to implement my dashboard design and the statistical calculations

Software Developer [01/2009 - 09/2009]

NCM Software Inc.

● Designed, constructed, modified and maintained SQL Server 2005 database to meet the requirements

● Developed tracking software for reporting the website’s visitors activities using C#, asp.net

● Developed desktop software for promoting company products using C#

Research Assistant [05/2008 – 08/2008]

University of Waterloo

● Researched on probabilistic database, uncertain data concepts, and different uncertain data models and data cleaning concepts

● Developed a project in probabilistic database subject, fined the possible world with maximum probability

● Presented reviewed papers and discussed new ideas with the research group

Education

Masters in Computer Science [09/2009 – 11/2012]

McMaster University, Hamilton, ON

Research Area: Data Mining, Machine Learning, Decision Support System, eHealth

Bachelor in Honours Computer Science [09/2004 – 08/2008]

University of Waterloo, Waterloo, ON

Bachelor in Applied Mathematics [09/1998 – 04/2002]

Isfahan University of Technology

Professional Development

Data Visualization with Seaborn 2018

DataCamp

Gained Skills: Data visualization, Seaborn

Pre-processing Data for Machine Learning with Python 2018

DataCamp

Gained Skills: Pre-procession data (Cleaning Data, Scaling, Feature Engineering and Feature Selection), Sklearn, Pandas

Big Data Basics: Hadoop, MapReduce, Hive, Pig & Spark 2018

Sundog Education (Udemy)

Gained Skills: Hadoop, MapReduce, Hive, Pig & Spark

Machine Learning 2018

Stanford University (Coursera)

Gained Skills: Logistic Regression, Regularization, Neural Networks, Support Vector Machine (SVM), K-Means, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large Scale Machine Learning

Statistical Inference 2018

Johns Hopkins University (Coursera)

Gained Skills: Statistics (distributions, limits, and confidence interval), Statistical Hypothesis Testing (p-values, confidence intervals, and permutation tests)

Machine Learning: Regression 2016

University of Washington (Coursera)

Gained Skills: Linear Regression, Ridge Regression, Feature Selection & Lasso, Nearest Neighbours & Kernel Regression, Accessing Performance, Python

Projects

Customer Utilization of PCC software

PointClickCare

● Applied statistical data modeling on the customer utilization data and defined customers who are relatively struggling using PCC software components

● Collaborated with the Customer Experience team to determine the underline customer's challenges with the software

● Decreased the customer attrition and increased revenue for the company

Heart Risk Estimator Decision Support Tool

Masters Theses

● Proposed machine learning classification algorithm for predicting the risk of developing heart disease

● Proved that the algorithm has higher accuracy compared to other classification algorithms such as C4.5 Decision Tree, MLP Neural Network, KNN, etc.

● Implemented the proposed algorithm in Java using WEKA open-source software API

Additional Skills

● Strong knowledge of Machine Learning models including: Regression, Bayesian, Decision Tree, Artificial Neural Networks, SVM, KNN, K-means, etc.

● Expertise in data analytics using Python, Excel, R, Weka

● Analytical Experience using programming languages: SQL, Python (Pandas, Numpy, SciPy, Scikit-Learn, Matplotlib, Seaborn), R (dplyr, ggplot2)

● Proficient in Microsoft BI tools (SQL Server and SSRS) for Data Warehousing & BI

● Knowledge of big data analytics tools (Hives, Hadoop MapReduce, Spark)

● Quick learner, flexible team player and hard working

● Highly motivated individual with excellent organizational and interpersonal skills

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