Machine Learning Data Scientist
Resume:
NARJES AMOUSOLTANI
https://www.linkedin.com/in/narjes-amousoltani
https://github.com/Narjes840
https://www.researchgate.net/profile/Narjes-Amousoltani Toronto, Ontario
******.*********************@***.***
SUMMARY OF QUALIFICATION:
• Experience in end-to-end delivery of business needs in an agile team.
• Detail-oriented and deadline-driven with ability to multi-task and manage time effectively.
• Experience building automation tools using Python, Selenium, FastAPI and front-end technologies.
• Certified Tableau Desktop Specialist with strong knowledge of Tableau development.
• Working knowledge of docker containers.
• Experience designing REST APIs using FastAPI
• Academic experience in analyzing and visualizing large structured and unstructured data using Python and SQL.
• Strongly experienced in working and developing descriptive and predictive machine learning models such as supervised and unsupervised learning, regression and classification, clustering, time-series analysis, and NLP.
• Experienced in using statistical methods and models, hypothesis testing, regression analysis, and data mining techniques.
• Strong team player with excellent communication and collaboration skills, able to work in a team environment and collaborate with other analysts.
SKILLS:
• Programming and Database Query Languages: Python, R, SQL
• Database: PostgreSQL, Microsoft SQL server
• Data science and Machine learning: Machine learning Models, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), OpenCV
• Deep Learning Frameworks: Flask, Keras, Tensorflow, PyTorch
• Data Visualization and Analytics Tools: Tableau, Tableau prep builder, Seaborn, Matplotlib, Excel.
• Data Modeling and Database management tools: Lucidchart, MySQL workbench, pgAdmin, DBeaver, Microsoft SQL Server management Studio
• Big data tools and techniques: Pyspark, Mongo DB, Hadoop, Hive, Alteryx, SQLServer Analysis Services (SSAS), SQLServer Integration Services (SSIS)
• API Development: FastAPI
• Cloud: AWS services
• Other: GitHub, Agile Methodology, Jira, Docker
JOB EXPERIENCE:
Data and Reporting Analyst
RBC, Toronto, ON
Jan 2024- Present
Activities & Achievements:
• Developed more than sixty “Technology Infrastructure Compliance (TIC)” and “Monthly Risk Profile Review” tableau dashboards and published them on IS IT tableau server.
• Developed RBC Automation web app PoC using Python, FastAPI, Selenium, React and TailwindCSS.
• Developed IS IT Risk QA chat bot using NLP techniques, Python, FastAPI, React and TailwindCSS.
• Experienced in working with Service Now, Archer, IIPM, and TIC Portal.
• As a part of RBC Investor Services IT Hackaton planning team, hosted both the winter and summer coop Hackaton competition and selected as a T&O performance award recipient for Q3 2024 in recognition of our outstanding team achievement and our commitment to RBC!
Data Analyst (Co-op student)
RBC, Toronto, ON
Sep 2023- Dec 2023
Activities & Achievements:
• Worked with Risk and Reporting team to create and enhance of dashboards using Tableau and Tableau Prep Builder for stakeholders.
• Streamlined the process of updating dashboards by implementing Python and Selenium scripts for automation.
• Proficient in crafting SQL queries to retrieve data from databases using PgAdmin and DBeaver.
• Provided essential support to project teams in identification and documentation of risk and audit-related vulnerabilities.
• Performed Tableau site administration duties to ensure the effective management and maintenance of Tableau resources.
• Proficient in IT risk knowledge, risk findings, incident, and change management.
• As the primary developer, created an automated Monthly IT Risk Profile deck using Tableau, SQL and python.
• Worked in agile methodology.
• 3rd place winner of Case Competition within T&O students and presenting innovating solution for a real-world RBC challenge.
• Recognized as a top 5 student within T&O students in coop term CERTIFICATES:
• Tableau Desktop Specialist - Tableau
• Power BI Essential Training - LinkedIn Learning
• SQL for Data Analysis SQL for Data Analysis - Udacity
• Machine Learning Specialization - DeepLearning.AI & Stanford University (Coursera)
• AWS Certified Data Analytics Specialty 2023 - Hands On! - Udemy
• Enterprise Design Thinking Practitioner - IBM
• AWS Certified Cloud Practitioner - Amazon
• Machine Learning A-Z™: Hands-On Python & R in Data Science - Udemy May 2024
May 2023
April 2023
April, 2023
March 2023
February 2023
December 2022
April 2021
EDUCATION:
George Brown College - Applied A.I. Solutions Development, GPA - 3.84/4 Toronto, ON, CA
Jan 2023 - Dec 2023
Shiraz University
M.Sc. in Electrical Engineering (minor in Micro and Nano Electronic Devices) GPA: 3.86/4 - 17.46/20 (1st rank)
Thesis: Design and Simulation of Plasmonic Label-Free Refractive Index Sensors Thesis score: 20/20 Shiraz, Iran
2017-2020
SELECTED COURSES:
• Machine Learning, I & II (A+)
• Foundations of Data Management (A)
• Ethics and Law for Data Science (A+)
• Data Visualization Techniques (A+)
• Design Thinking for AI Solutions (A)
• Advanced Applied Mathematical Concepts (A+)
SELECTED COURSE PROJECTS:
Exploring Brazilian E-Commerce Sales Trends and Insights Using Tableau and Tableau Prep Builder Project Type: Data Visualization, Storytelling with Data Techniques and Tools: Employed Python, SQL, Tableau, and Tableau Prep Builder for data cleaning, preprocessing, and exploratory data analysis (EDA). Utilized statistical and data analysis techniques such as regression analysis, clustering, and segmentation to uncover trends and insights in the Brazilian E-Commerce Sales data. Created interactive visualizations, worksheets, and dashboards in Tableau to effectively communicate findings and tell a compelling data-driven story. Exploring Superstore Dataset: Tables, Flowcharts, and ERD Diagrams Project Type: Data Extraction, Cleansing, Database Design Techniques and Tools: Utilized MySQL Workbench and Lucidchart for building tables, flowcharts, and Entity-Relationship Diagrams (ERDs) to analyze and represent the data structure and relationships within the dataset. Conducted data exploration and performed database design to gain insights into the Superstore sales trends and patterns. Kaggle Online Hotel Reservation Prediction using Python Project Type: Supervised Multi-class Classification, Optimization, Feature Selection Techniques: Employed Pearson Correlation, Chi-Squared, Recursive Feature Elimination, Lasso Regularization (L1), LightGBM, Stochastic Gradient Descent (SGD), Random Forest (RF), Grid searchCV, Decision Tree (DT), Support Vector Machine (SVM), and Logistic Regression (LR) for optimal prediction performance.
Doctor Prescription Parser using CRF using Python
Project Type: Natural Language Processing (NLP), Sequence Prediction Techniques: Developed a Conditional Random Field (CRF)-based parser with features extracted using Part-of-Speech (POS) tagging for accurate labeling of words in a prescription.
Movie Recommender using Python
Project Type: Hybrid Recommender System
Techniques: Implemented Content Filtering, TF-IDF Vectorizer, Collaborative Filtering using Turicreate and Surprise libraries, and Matrix Factorization Recommender for accurate movie recommendations. Sentiment Analysis and Classification of Financial News Headlines using Python Project Type: NLP and Classification
Techniques: Explored data, employed Bag-of-Words (BoW) model, TF-IDF model, and performed classification analysis using Decision Trees
(DT), Logistic Regression (LR), Multinomial Naive Bayes (MNB), and Support Vector Classifier (SVC) for sentiment analysis of financial news headlines.
Thief Detector using Live Video Feed using Python
Project Type: Motion Detection, Video & Image Processing Techniques: Implemented image thresholding, edge and shape detection, and utilized OpenCV library for finding contours and detecting motion in a live video feed from a surveillance camera.
APPENDIX:
Samples of Tableau dashboards built for IS IT, Risk and Report Team at RBC:
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