MARYAM TAKHSHA
438-***-**** *.*******@*****.***
https://www.linkedin.com/in/maryamtakhsha/
** ********** **. *, ******** (QC) H2X 1C4
Languages: English, French
Profile
Junior Data Scientist / Business Intelligence Analyst with 1-year constructive experience in Data Analysis, Data Mining and Programming, team player and a quick learner.
• Data mining: Data extraction, Data cleaning, Machine learning, Explicative and Predictive Analysis
(Regression, Classification, Ensemble methods, Neural Network, Decision Trees) and Market Basket Analysis
• Data visualization and Dashboards: Present Visual reports and presentation for different audience targets to facilitate decision-making process
• Computer skills: Python, R, SAS, SQL, MATLAB, SAS EM, Linux, MS Excel, Tableau o Certification SAS: SAS Certified Statistical Business Analyst using SAS 9 – Regression and Modelling Education
M.Sc. in Business Intelligence 2018 – to present
HEC Montreal
GPA: 3.8 / 4.3 (Mention d’excellence)
Selected Courses:
• Data Mining
• Statistical Inference
• Marketing Database Analysis
• Multi-dimensional Data Analysis
Certificate in Big Data Business Analytics 2018
Concordia University
Selected Courses:
• SQL Essentials (A+)
• Big Data Visualization with Tableau (A)
M.Sc. in Atmospheric science (Physics) 2016
Université de Québec à Montréal (UQAM)
University projects in Business Intelligence
Marketing strategy optimization based on client data analysis
• Analyzed transaction data of BTLF to get insights
• Provided marketing recommendations using SAS
Customer retention analysis
• Developed predictive models (Neural Network, Decision Tree, Random forest, Gradient boosting) to predict customer churn of a telecommunication company using SAS EM
• Developed Marketing Campaigns
Pricing and market evaluation of a new product
• Developed predicting model (Logistic and linear Regression) to identify the customers who are likely to buy a new product, using R & SAS
• Created Reports and Dashboard using R, SAS and Tableau Maryam TAKHSHA - Page 2 of 2
Experience
Data Analyst 2017
Ouranos, Montréal
• Performed data extraction, manipulation and statistical analysis on climate data as large as Terabytes using Python, MATLAB, Bash and Linux
• Authored and created technical reports and presentations based on target audience Data Analyst Intern 2017
Université de Québec à Montréal (UQAM)
• Analyzed and interpreted computer modelled data to forecast arctic future climate using Python, MATLAB, Bash and Linux
• Created data visualization and diverse sets of plots, charts and graphs
• Delivered multiple projects under tight deadlines Publication
Takhsha, M., et al, “Climate simulations and projection over CORDEX Arctic domain using CRCM5: Effects of large-scale spectral nudging and empirical correction of sea-surface temperature bias”. Climate Dynamics 51,161–186, (2018).