Komal Virk
@komalvirk1
Data analyst with expertise in visualization and machine learning.
What I'm looking for
I am a data analyst with a strong background in computer science and a passion for transforming data into actionable insights. My academic journey at the University of Windsor, where I earned my M.Sc in Computer Science, equipped me with the analytical skills necessary to excel in the field. I have honed my abilities through various internships and projects, including developing interactive dashboards that significantly improved data accessibility and decision-making processes.
During my recent internship, I successfully developed a Tableau dashboard that replaced outdated manual reports, enhancing data accessibility for leadership. My experience with SQL and Python has allowed me to analyze large datasets, uncovering key trends and insights that drive strategic decisions. I am particularly proud of my capstone project, where I automated data extraction and built visualizations that improved decision accuracy for customer targeting.
With certifications in Google Data Analytics and advanced data analysis techniques, I am committed to continuous learning and applying best practices in data visualization and machine learning. I thrive in collaborative environments and am eager to contribute to data-driven strategies that enhance business performance.
Experience
Work history, roles, and key accomplishments
Student Intern
Canada
Mar 2024 - May 2024 (2 months)
Developed an interactive Tableau dashboard that replaced outdated, manual reports, improving data accessibility and accelerating leadership’s content acquisition decisions. Optimized data processes through anomaly detection and root cause analysis, implementing visualization best practices to create intuitive, user-friendly dashboards—reducing analysis time by 30%. Analyzed Netflix content trends
Software Developer
Amdocs Canada Managed Services Ltd.
Aug 2021 - Aug 2023 (2 years)
Analyzed production system performance metrics using SQL queries to identify and troubleshoot issues, reducing system downtime and improving overall efficiency. Developed interactive dashboards and reports to monitor system health, track incident trends, and visualize performance bottlenecks, facilitating data-driven decisions to enhance system stability. Collaborated with cross-functional teams t
Data Analyst
YELP
Mar 2025 - Present (3 months)
Automated data extraction using Python & Yelp API, scraping restaurant listings with ratings, reviews, cuisine types & locations to analyze customer preferences. Processed & cleaned 500MB+ of data with Pandas & SQL, handling missing values, duplicates & outliers for accurate BI reporting. Built an interactive Tableau dashboard visualizing restaurant trends by rating & reviews, improving decision a
Graduate Research Assistant
University of Windsor
Jan 2019 - Dec 2020 (1 year 11 months)
Analyzed a large retail YOOCHOOSE dataset (~10M+ records) using Python and SQL to uncover customer behavior and sales trends, which provided actionable insights for optimized inventory management and targeted marketing strategies. Modeled a recommendation system using the PrefixSpan algorithm to mine clickstream data, generating high-utility sequential rules that improved product recommendations w
Education
Degrees, certifications, and relevant coursework
University of Windsor
Master of Science, Computer Science
Pursued a Master of Science in Computer Science, deepening knowledge in advanced computing concepts. Focused on research and complex problem-solving within the field.
RIMT - IET
Bachelor’s in Computer Science, Computer Science
Completed a Bachelor’s degree in Computer Science, building a foundational understanding of computer systems and programming. Gained essential skills in software development and data management.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
tableau.com/profile/komalvirk6Job categories
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