

- Bio
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Hi! I am a 4th year student at the University of Alberta studying Computer Science. Throughout my academic career, I have completed 4 internships at different companies, each focusing on specific technologies and frameworks. Through my experiences, I have expanded my skillset, with an emphasis on data analysis, reporting and compliance, and automation. My passions lie in using technology to find solutions to everyday real world problems. I've done multiple projects through Riipen in the past and have worked with multiple employers, always providing my best work in any project I've taken on. For the FuturePath experience, I am interested in projects focusing on PowerBI/Tableau dashboards, data entry/collection, and scripting in Python. Feel free to check out my work experience, projects, and Linkedin below!
- Portals
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Vancouver, British Columbia, Canada
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Skills
Socials
Achievements



Latest feedback

Individual endorsement
I had the pleasure of working with Dhaval Patel on our Global Herbal Database Development project for Herbopedia, and Iβm happy to endorse his contributions. Dhaval brought strong research skills, professionalism, and a proactive mindset to the team. He consistently met deadlines, communicated effectively, and showed genuine interest in the subject matter. His work helped lay the groundwork for an important initiative in the natural health and wellness space. I believe Dhaval has a bright future ahead and would be a valuable asset to any team or organization.
Learner feedback


Team feedback


Individual endorsement
Dhaval hope to work with you again, thank you for all you did. good luck in your career. Scott Dunn
Team feedback


Recent projects

Literature Research
Creating an innovative beverage requires extensive research. I have already paved the way with a great deal of research, but I am looking for some help. I would like to collaborate with students to support literature review by identifying relevant papers and documenting their basic information. Tasks include: Familiarizing themselves with the inclusion / exclusion criteria to determine which studies are relevant. Searching for relevant studies in databases using keywords and documenting the process. Screening the titles and abstracts of papers to determine their relevance to our project. Documenting relevant papers that can be included in our literature review, including information such as authors and date of publication. Reading the full texts of relevant papers and summarizing their results.

Website Redesign for Vloe
The main goal for the project is to redesign the website for Vloe, an advertising agency specializing in Google Ads, Meta Ads, Newsletters, Shopify stores, and website management. The new website should have a modern and user-friendly design that effectively showcases the company's services and portfolio, while also improving overall user experience and engagement.

Researcher and Data Storyteller (Data Scientist)
The main goal for the project is to conduct data analysis, statistical analysis, and technical reporting to research and summarize available statistics related to AI content detection. The project aims to systematize the process of gathering and updating data on various AI-related topics for publication online.

Website Optimization Project for Peqish Food Company
The main goal for the project is to improve the Peqish Food Company website by focusing on increasing the time spent on the site, improving clickthrough rates, and increasing form sign-ups. This will involve several different steps for the learners, including: Analyzing the current website traffic and user behavior data. Identifying areas of the website that need improvement in terms of user engagement. Developing strategies to increase time spent on the site, clickthrough rates, and form sign-ups. Implementing the strategies and monitoring their impact on website metrics. Testing and optimizing the website for improved user engagement.
Work experience
Data Analyst Intern
Kent
May 2025 - Current
β’ Developed an automated reporting system to submit and review compliance data, reducing manual processing time by 25%,
Automation Engineer Intern
General Dynamics Mission Systems
May 2025 - Current
β’ Designed JavaScript automation scripts for system monitoring and error handling, and created technical documentation to ensure seamless integration.
Data Analyst Intern
Super.com
January 2025 - April 2025
β’ Reduced data processing time by 30% through optimization of complex SQL queries, improving the efficiency of fraud detection and reporting processes.
β’ Performed data analysis on customer transaction histories using Snowflake, identifying anomalies that resulted in a 15% increase in fraud detection accuracy.
β’ Utilized PowerBI and Looker to create financial dashboards and reports, providing actionable insights for business decision-making and improving data accessibility.
Technology Analyst Intern
Dream
May 2024 - December 2024
β’ Developed Power Automate workflows to streamline data collection and approval processes within SharePoint, resulting in a 25% reduction in approval times.
β’ Automated user account management by implementing PowerShell scripts, saving 10 hours per week and minimizing onboarding errors.
β’ Created and updated knowledge base articles to ensure current procedures and protocols, facilitating effective issue resolution
Education
Bachelor of Science, Computing Science
University of Alberta
September 2021 - Current
Personal projects
Financial Performance Dashboard
https://github.com/Homer20/FinancialPerformanceDashboardβ’ Created an interactive Power BI dashboard that tracks financial KPIs, providing comprehensive insights and
detailed business performance monitoring.
β’ Enhanced data visualization by utilizing DAX functions to calculate accurate financial metrics, improving data
processing efficiency by 30%.
β’ Improved dashboard performance by creating efficient data models and queries, resulting in faster load times and
improved user experience
Database Management System
https://github.com/ualberta-cmput291/w24-mp2-dhavaldbβ’ Engineered Python scripts to interface with a MongoDB database, performing intricate data analysis and
implementing performance optimization strategies.
β’ Processed and analyzed over 100,000 messages from the dataset, extracting patterns and conducting in-depth
analysis for actionable insights.
β’ Enhanced query performance by optimizing the database schema, including normalization and index restructuring,
resulting in a 15% increase in query output.
Market Data Analysis
https://github.com/Homer20/Sales-Data-Analysisβ’ Developed a Python and SQL based data analysis program to automate sales data processing, reducing manual
workload by 20%.
β’ Analyzed large datasets to identify key sales trends, providing crucial insights for understanding market dynamics.
β’ Implemented an automated PDF generation system that reduced report creation time by 50% and provided
detailed insights into trends and anomalies