About Me/CV

I’m a recent graduate with a Bachelor’s degree in Statistics, aspiring to become a proficient data analyst. My experience includes collaborating within data teams to address various data-related challenges. I’m eager to advance my career and take on exciting projects.

TECHNICAL SKILLS

Programming Languages

R Programming, Shiny, ggplot2, Python, SQL, Power Bi, LaTeX, Github, SAS, MATLAB, C++, Excel

Data Skills

Data Visualization, Data Cleaning, Database Management, Dashboarding, Mapping, Data Exploration

Statistical Skills

Modelling and Inference, Hypothesis Testing, Experimental Design, A/B Testing, Sample Surveys, Statistical Learning, Bayesian Analysis, Discrete Analysis, Time Series Analysis, Vector Calculus, Linear Algebra

WORK HISTORY

Junior Data Analyst

Global Affairs Canada – Ottawa, ON (May 2021 – Dec 2021)

During my 8-month co-op at Global Affairs Canada, I had the opportunity to work as a junior data analyst, contributing to the organization’s data-driven decision-making processes. I gained valuable experience in collecting, analyzing, and interpreting complex datasets to generate insights and support evidence-based strategies. I worked on a small data team and we worked on a variety of different projects both independently and as a team.

  • Developed an interactive map of China to visualize sister-city relationships.

  • Identified unlikely daily word counts in a collection of tweets using a Poisson Process model to uncover trending topics.

  • Visualized small datasets as stacked bar charts, density plots, and choropleth maps on short notice as requested by other teams.

  • Cleaned a historical dataset by combining multiple years of information using a star schema format for easy integration into Power BI.

  • Conducted a factor analysis to create an index to rank countries on classified metrics.

  • Developed a logistic regression model to test significance of employee survey results.

Technical Analyst

Centre of Operation Excellence, UBC Sauder – Vancouver, BC (May 2020 – Aug 2020)

As a Technical Analyst at the Centre of Operation Excellence, UBC Sauder, I designed and implemented advanced logic for ship simulations using Python, optimized code for faster run time, and merged tables using manual string detection techniques using R Code.

  • Designed advanced logic for a discrete simulation of ship movements using Python.

  • Simulated ship movements in Python using advanced logic.

  • Summarized simulation improvements and thoroughly documented code changes.

  • Optimized simulation code and cut down run time by over 50%.

  • Merged large tables that did not contain a common id using manual string detection.

EDUCATION

Bachelor of Science, Statistics Major

Simon Fraser University, Burnaby, BC (Sept 2017 - June 2023)

  • Bachelor of Science, Major: Statistics.

PERSONAL PROJECTS

Board Game Dice Distribution Visualizer

RStudio/R Shiny (June 2023)

https://sway.shinyapps.io/Cthulhu-Death-May-Die-Dice-Distributions

  • Developed an optimized algorithm to simulate non-standard dice rolls for the popular board game Cthulhu: Death May Die, resulting in an improved gameplay experience.

  • Created an engaging and visually appealing Shiny App utilizing custom themes and fonts.

  • Implemented interactive features that enable users to effortlessly modify parameters and access information.

GRANTS AND AWARDS

NSERC Undergraduate Student Research Award (June 2020 - Aug 2020)

  • Research award valued at $4,500 awarded.

CERTIFICATIONS

Massachusetts Institute of Technology (June 2019 - July 2019)

  • Online Course: Introduction to Computer Science and Programming using Python.

PORTFOLIO & MISCELLANEOUS PROJECTS

A Selection of smaller-scale portfolio items and miscellaneous projects.

Marvel Movies Data Exploration

RStudio (Feb 2020)

https://rjutha.github.io/MCU-Movie-Project

  • Scraped movie revenue, profits, and ratings from Wikipedia.

  • Brainstormed research questions like whether the gross profit margins have increased.

  • Cleaned the data and created plots to visualize trends to answer project questions.

  • Visualized metrics like historical profitability, production costs, and movie ratings.

International Tourism Dashboard

RStudio (June 2023)

https://rjutha.github.io/International-Tourism-Data-Project

  • Cleaned Excel sheets from World Bank using Tidyverse R functions.

  • Created interactive choropleth maps incorporating tooltips and zoom functionality.

  • Summarized visualizations using Flexdashboard to enhance accessibility and sharing.

Comparing Parametric and Non-parametric Tests

LaTeX (March 2020)

https://github.com/rjutha/Comparing-Parametric-and-Non-Parametric-Tests

The goals of this project was to practice technical writing, learn LaTex, and introduce myself to reading statistic papers. This was originally a short paper I wrote as a final project to one of my classes. I chose a simple topic that I had interest in and had a lot of fun writing the paper. I also was able to learn how to cite other papers in LaTex using Overleaf as an IDE.