Jashandeep Singh

Software Engineer Intern
Waterloo, Ontario 437-929-6465 sing8282@mylaurier.ca jashandeep.co.uk

Summary

Results-driven Computer Science student specializing in Big Data Systems with hands-on experience in building scalable data solutions, automating workflows, and delivering actionable insights. Adept in Python, SQL, AWS, and modern data frameworks, with a proven track record of streamlining operations and increasing process efficiency. Passionate about leveraging data to drive business value and committed to continuous learning.


Projects & Experience

Data Analysis | Canadian Census Dashboard
Technologies: Python, Dash, Plotly, Pandas, Gunicorn

  • Built an interactive dashboard with Dash and Plotly to visualize 2021 Canadian Census employment data by region, occupation, education, and gender.
  • Cleaned and structured a dataset of 100K+ records using Pandas to boost data quality and analysis speed.
  • Designed the app using MVC architecture with reusable modules for data processing, charts, and UI, improving scalability and maintainability.

Automated Data Processing & Reporting System
Technologies: Python, Django, Pandas, VBA, REST APIs

  • Built a scalable system to automate data collection and reporting from JobBoss E2 ERP, cutting manual work by 90% and boosting accuracy.
  • Developed a Django backend to handle RESTful APIs, process real-time production data, and generate reports.
  • Designed a responsive front end with HTML, CSS, JavaScript, and Tailwind for smooth access across all devices.

Clip Genius – Automated Video Highlight Generator
Technologies: Python, OpenCV, Tesseract OCR, FFmpeg, Multi-Threading, NumPy

  • Developed an automated sports highlight generator using Python, OpenCV, and OCR; achieved 90% scoreboard detection accuracy.
  • Implemented multi-threaded video analysis to speed up processing by 40% and improve large file handling.
  • Improved OCR score extraction accuracy by 15% through image optimization with Gaussian blur and thresholding.

Personal Portfolio Website
Technologies: Django, AWS EC2, Route 53, SSL, Google Analytics

  • Built and deployed a responsive personal portfolio website on AWS EC2 using Django and MySQL, leveraging cloud scalability and performance.
  • Integrated Google Analytics to track user engagement and monitor site metrics.
  • Configured domain with AWS Route 53 and secured the site using Let's Encrypt SSL on Apache, earning an 'A' rating from Qualys SSL Labs with zero reported vulnerabilities.

Education

Bachelor of Science in Computer Science
Wilfrid Laurier University — Waterloo, ON

Sept 2022 - Dec 2025

Concentration: Big Data Systems

  • Coursework: Data Structures & Algorithms, Database Management, Big Data Analytics (Spark, Hadoop), Machine Learning, Image Processing & Pattern Recognition and Operating Systems

Certifications

  • Coursera Python for Data Science

    July 2024

Skills

  • Programming Languages: Python, SQL, JavaScript, C++, VBA
  • Data Analysis & Visualization:Power BI, Power Query, Pandas, Plotly, Dash, Excel
  • Frameworks: Django, Flask, FastAPI, Angular
  • Database & Data Handling: MySQL, MongoDB, Redis, MS Fabric
  • Automation & RPA: MS Power Automate, VBA Macros, UiPath (familiar)
  • Cloud & Version Control: AWS (EC2, S3, Lambda), Docker, Nginx, Git, GitHub Actions
  • Testing & Debugging: Postman, Pytest, Chrome DevTools
  • Project & Task Management: MS SharePoint, MS Project, JIRA
  • Software Engineering Concepts: RPA, Data Structures & Algorithms, OOP, Design Patterns, API Integration, Microservices, Agile Methodologies
  • Soft Skills: Problem-solving, Collaboration, Adaptability, Attention to Detail, Eagerness to Learn