Chemical Engineering Energy Systems
Resume:
Mahsa Aghaie
******.*****@*****.**
SUMMARY
Results-oriented, well-presented, and self-motivated engineer, software developer, data scientist who has +6 years of coding experiences using Python, Matlab, JavaScript, SQL programming languages and has solid background in the AI/ML field.
SELECTED HIGHLIGHTS
Strong knowledge of programming gained with working on the Maters and PhD projects as well as work environment.
Solid knowledge of Artificial Intelligence/Machine Learning gained from AI/ML researches during Master and PhD studies.
Professional in both object oriented and procedural programming gained from six month full time participating in software developer bootcamp.
Strong cloud computing and High Performance Computing (HPC) skills – simulation & scripting - gained from working in Hibernia EOR research group
Strong critical and analytical thinking as well as problem solving skills- gained from doing complicated research projects
Technical Skills
Programming and Web: Python, Matlab, HTML, CSS, Java Script, JQuery, React, Node.js
Machine Learning: Pandas, Scikit-learn, Numpy, and Scipy
Deep Learning: ANN, CNN, RNN, TensorFLow, Keras, PyTorch
Databases: SQL Server, noSQL, and Firebase
Applications: Microsoft Power Apps, Git Version Control
Data Visualization: Matplotlib, Seaborn, Plotly
Data Analysis Tools – Power BI, Tableau, Google Studio, Microsoft Excel
Physics-based computational Tools : Gromacs, COMSOL, Gaussian
WORK EXPERIENCES
Data Scientist
Hibernia EOR Group, Canada 2020-current
Mathematical modeling and python script development to predict the nanoparticles behaviour in the complex solutions (Python)
Data driven approach to predict the effect of nanoparticles on fluid-fluid interactions using Artificial Intelligence Methods and comparison of the results with Mathematical models (Feature engineering, feature selection. decision tree regression, random forest regression, deep learning approach, XGBoost algorithm)
Predicting CO2 corrosion in pipeline using time-series pressure and temperature data using deep learning methods like LSTM and RNN
Mentoring junior researchers to use Compute Canada cloud computing facilities
Software Developer
Sharif Process Development 2012- 2013
Developing a process engineering software to compute the status and composition of fluid inside pipeline.
EDUCATION
Ph.D. in Process Engineering
Process Simulation, Artificial Intelligence/Machine Learning
Memorial University, Canada
2016-2020
Thesis: Comparison of mathematical and artificial intelligence models in accurate predicting of CO2 solubility in Ionic Liquids.
Mathematical modeling of CO2 solubility in Ionic Liquids and develop a python code to solve the equations (Python)
Developing models to predict solubility based on Quantitative Structure−Property Relationships (QSPR), feature engineering, and feature selection
Estimation of CO2 solubility using machine learning techniques (LinearRegression, DecisionTree, RandomForest, Support Vector Machines, and Artificial Neural Networks)
Molecular dynamics simulation to determine the diffusivity of CO2 in solvents – Cloud computing using gromacs.
M.Sc. in Energy Systems Engineering
Artificial Intelligence and Optimization Algorithms
University of Tehran, Tehran
2013-2015
Thesis : Solar radiation prediction based on ICA (Independent Component Analysis) and HGAPSO (Hybrid Particle Swarm Optimization) algorithms (Matlab).
B.Sc. in Chemical Engineering
Sharif University of Technology, Tehran
2007-2012
Awards, Certificates, and Scholarships
Front-end and Back-end Development Certificate: Codcademy, 2022
Complete Python Bootcamp: Udemy, Dec. 2020
Machine Learning A-Z™: Hands-On Python & R in Data Science: Udemy, Dec. 2020
Mitacs Globalink Scholarship, Canada, 2018
Full Ph.D Scholarship from Memorial University, St. John’s, NL
University of Tehran Academic Excellence Award: The award is given to a master student who had an excellent academic performance based on the GPA and research works
Sharif University Academic Excellence Award for Bachelor Students
Fellow of the School of Graduate Studies at Memorial University: Fellow of the School of Graduate Studies is awarding in recognition of outstanding academic achievement throughout a graduate program.
Other Information
Permanent Resident of Canada
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