×
Roxana Nick

Roxana Nick

Data Scientist

Toronto, Ontario, CA

Background


About

About

Results-driven data scientist with a Master’s in Applied Modeling and Quantitative Methods and expertise in time series analysis, machine learning, and statistical modeling. Proficient in Python, R, SQL, and data visualization. Experienced in turning complex data into strategic insights to support business decision-making. Skilled at delivering scalable, data-driven solutions with a strong track record of research, analytics, and project execution.

Work Experience

Work Experience

  • Statistics Research Assistant, Trent University

    Sep, 2022 - Oct, 20242 years 1 month

    Responsible for designing statistical experiments and developing time series interpolation models to recover missing data and support statistical reporting.

    • Designed statistical experiments and time series models to identify anomalies and reconstruct missing data.

    • Developed and evaluated multiple interpolation models (KAF, EWMA, HWI) to recover incomplete data under various SNRs.

    • Supported statistical reporting with reproducible documentation, simulations, and visual summaries.

  • R Shiny App Developer – Awards Analytics Project, Trent University

    May, 2023 - Aug, 20233 months

    Responsible for automating eligibility analysis for scholarship applicants using statistical logic in an R Shiny dashboard and delivering tabulated summaries and visualizations to support audit-compliant decision-making.

    • Automated eligibility analysis for scholarship applicants using statistical logic and an R Shiny dashboard.

    • Created tabulated summary outputs and graphical visualizations in alignment with reporting best practices.

    • Reduced manual review time by 60% and supported transparent decision-making through audit-compliant documentation.

    • Collaborated with cross-departmental stakeholders to ensure alignment with academic governance standards.

Projects Experience

Projects Experience

  • JOS

    Aug, 2021 - Present

    Implemented a 64-bit UNIX like operating system from scratch

  • Gandalf

    Jun, 2021 - Present

    Gandolf is an implemention of Raft algorithm which can be used to bring consensus over any database.

    • Cosnsisted of a redis like key-value store and a consensus module

    • Used Event-Driven Architecture for desinging system

    • Can bring consensu to any database

  • Oira

    Sep, 2020 - Present

    Oira is a flask like dispatcher with the mindset to keep everything simple and avoiding third parties as much as we can.

    • A simple dispatcher writen in python from scratch

    • Built to develope microservices with

  • Phobia

    Jun, 2022 - Present

    Phobia is a asynchronous multi-threaded scenario-based load-generator implemented in Rust for stress testing services.

Skills

Skills

  • Programming & Tools

    Python (Pandas, NumPy, Matplotlib, Seaborn, SciPy, Streamlit)

    R

    SQL

    Git

    GitHub

    MLflow

    LaTeX

    GitHub Copilot

  • Statistical & Machine Learning Methods

    Statistical Modeling

    Hypothesis Testing

    Linear Regression

    Non-linear Analysis

    Regression Analysis

    Time Series Analysis

  • Data Handling & Visualization

    Data Cleaning

    Data Manipulation

    Data Validation

    Data Analysis

    Data Visualization

    Dashboards (Plotly, Dash, Tableau)

  • Soft Skills

    Adaptability

    Problem-Solving

    Self-Motivation & Discipline

    Strong Analytical Skills

    Interpersonal Skills

Education

Education

  • Applied Modelling & Quantitative Methods, Master of Science, Trent University

    Sep, 2022 - Oct, 2024

    Deep Learning

    Computational Statistics

    Advanced Statistics

    Sampling & Design of Experiments

  • Statistics, Bachelor of Science, University of Guilan

    Sep, 2018 - May, 2002

    Statistical Quality Control

    Discrete Multivariate Methods

    Continuous Multivariate Methods

    Regression I-II

    Linear Algebra

    Data Mining

    Statistical computations

    Design of Expermiments I,II

    Time Series Analysis

    Samplimg Methods I,II

    Probability and Fuzzy Statistics

    Fundamentals of Combinatories

    Mathematical Statistics I,II

    Introduction to Information Theory

    Random Processes

    Nonparametric Methods

    Numerical Methods and Simulation

    Mathematical Analysis

    Differential Equations

    Issues in Applied Statistics

    Statistical Methods

    Probability I,II

    Fundamentals of Mathematics

    Fundamentals of Computers and Programming

    Calculus I,II

  • Math & Physics, Diploma, Professor Reza High School

    Sep, 2013 - Jun, 2018

Awards

Awards

  • Research Fellowship at Trent University

    Awarded on: Invalid date

    $30,449

  • Graduate Teaching Assistantship at Trent University

    Awarded on: Invalid date

    $12,000

  • Dean’s International Award

    Awarded on: Jan 01, 2024

    $1,182

  • Graduate International Bursary

    Awarded on: Invalid date

    $1,400

  • National Entrance exam Scholarship

    Awarded on: Invalid date

    Full-ride B.Sc. in Statistics

Volunteer Work

Volunteer Work

  • Event Data Analyst and Communications Support, Sabzkaran NGO

    Jan, 2013 - Jan, 2020

    Created newsletters and reports communicating data-driven insights to a broad audience. Managed social media accounts, analyzing Instagram engagement metrics to optimize posting schedules and content strategies. Collected, validated, and reported event participation and audience interaction data. Designed dashboards and visual content to present findings and improve outreach effectiveness. Used engagement analytics to inform communication strategies and increase event visibility.

  • Project Manager, Scientific Association of Statistics and Data Science, University of Guilan

    Sep, 2019 - May, 2022

    Planned and helped run data science and statistics projects for students. Organized workshops, seminars, and training sessions to teach technical skills. Worked with students, professors, and industry guests to support learning and research. Led small student teams and made sure projects were completed on time.

  • Work shop cordinator, Introduction to R, Guilan University

    Sep, 2021 - May, 2022

    Organized and coordinated an Introduction to R programming workshop for undergraduate students. Assisted in preparing materials, managing workshop logistics, and supporting participants during hands-on sessions. Helped students understand basic R concepts, data handling, and simple statistical analysis through guided exercises.