👩‍💻 Projects

📄 Open-Source Contribution Link to heading

Co-authored pull request (#4648) with the Cypress team to correct an incorrect command in the official Cypress documentation, improving usability and reducing confusion for developers.

🕵 Exploring Career Preparedness and Marketable Skills Among University Graduates Link to heading

This research project explores the career readiness and perception of marketable skills among graduating students at East Texas A&M University, aligning with the university’s strategic planning goals for 2024–2029.

Highlights:

  • Utilized Python and Pandas to process and analyze Graduate Exit Survey data (Fall 2024 & Spring 2025), performing data cleaning, transformation, and statistical analysis.
  • Computed mean, weighted mean self-assessment scores for each skill using Pandas, allowing for an objective assessment of student confidence in key skills.
  • Visualized trends in skill rankings and confidence levels through Matplotlib and Seaborn, producing bar charts and heatmaps to illustrate the frequency and distribution of skill ratings.
  • Applied descriptive statistics to explore the relationship between skill ratings and demographic variables, such as education level and gender, to identify key areas for curriculum enhancement.
  • Performed the Mann-Whitney U test (non-parametric) to compare the distribution of self-assessment scores between independent groups (e.g., gender, education level), assessing whether there were statistically significant differences in skill perceptions between these groups.

Approach: Survey data was cleaned and structured using Pandas and NumPy, followed by the application of statistical measures, including mean, standard deviation, and frequency distributions. The analysis focused on identifying the core marketable skills prioritized by students and assessing their self-reported proficiency across demographic segments.

Skills: Python, Pandas, NumPy, scipy.stats, Matplotlib, Seaborn, Mann-Whitney U Test, Descriptive Statistics, Data Visualization, Data Cleaning

🔨Skill Portal Link to heading

Skill Portal is a Resume/CV Selection and Evaluation System developed in Python to streamline the hiring process. It was built as a fulfillment of major project during undergraduate studies.

Highlights:

  • Ranks resumes and matches them with job descriptions using Cosine Similarity and NLP
  • Platform for uploading CVs and showcasing skills
  • Enhances hiring efficiency and candidate evaluation
  • Helps unemployed individuals present qualifications to potential employers

Approach:
Skills, education, and experience from CVs are vectorized based on job descriptions and compared using cosine similarity to rank candidates effectively.

Skills:
Python, Django, SQLite, NLP, Cosine Similarity, Data Processing, Resume Parsing

📚Hamro Pustakalaya 🔗 Link to heading

Hamro Pustakalaya is a web-based virtual library management system built in Java as a minor project during undergraduate studies.

Highlights:

  • Online book search, availability checks, and reservation system
  • Admin features like book inventory, user management, and fine tracking
  • Content-based recommendation system
  • User login and registration functionality

Skills:
Java, T-SQL, mongoDB, JDBC, Spring Boot, Library Management System, Recommendation System

🧘‍♀️+ve or -ve? Link to heading

+ve or -ve? is a desktop sentiment analysis application built with Java Swing and basic NLP techniques as a project to showcase in LITE Technical Exhibition 2019 hosted by Kantipur Engineering College.

Highlights:

  • Real-time analysis of sentences for positive or negative sentiment
  • Intuitive Java Swing UI with extensibility for future enhancements
  • Designed as a standalone application for feedback analysis

Skills:
Java, Swing, NLP, Sentiment Analysis, Text Classification