Hi,

I'm Sri Nandan

I'm a Computer Information Systems student at Mount Royal University with a passion for web development, data analysis, and AI. I love solving problems, building interactive projects, and working with others to create user-friendly applications!

Chat with me!

About Me

Tech Enthusiast

I believe in the power of technology to make life easier and more exciting. From working with SQL databases to exploring machine learning, I'm constantly pushing myself to learn and grow. What really drives me is the opportunity to blend technical skills with creative problem-solving.

When I'm not coding, you can usually find me gaming! I'm a huge fan of epic RPGs like Final Fantasy and Souls-like games!

Education

Computer Information Systems | Mount Royal University

September 2021 - Present | Calgary, AB

Relevant Coursework: Operating Systems, Software Engineering, Web Development, Database Modeling and Query Languages, Machine Learning (in progress).
Grade: 3.4

Experience

Mobile Sales Associate | Best Buy Canada

May 2023 - May 2024 | Calgary, AB

Achieved 120% of monthly sales targets through in-depth product knowledge and excellent customer service, contributing to a 15% increase in store revenue.
Resolved complex customer issues by collaborating with carrier reps from providers like Telus, Rogers, Freedom, and Bell.
Maintained a calm demeanor under high-stress situations, improving customer satisfaction by 20%.
Team Leadership During Peak Hours: Led and supported a team of 15-20 associates during high-traffic periods like Black Friday.
Quickly adapted to diverse customer needs, ensuring seamless solutions and 100% transaction accuracy.

Projects

Apartment Booking System Database | SQL

Designed and implemented a normalized relational database (3NF) using MySQL.
Created structured tables for buildings, apartments, guests, and bookings, ensuring data integrity with primary and foreign keys.
Developed complex SQL queries to analyze booking and apartment availability trends.
Collaborated with a team of four developers using version control and best practices.

AI-Powered Movie Recommender | Python, Streamlit, OpenAI API

Developed an AI-driven movie recommendation system using machine learning and NLP.
Integrated TMDB API to fetch real-time movie data and display trending movies.
Built an interactive UI with Streamlit, featuring personalized recommendations.
Deployed using Hugging Face Spaces. Live app can be seen here.

Tourism Data Analysis | Python, SQL, Tableau

Processed and cleaned international tourism and GDP datasets using Pandas.
Merged datasets and transformed them into structured formats for visualization in Tableau.
Developed interactive dashboards to analyze tourism growth and GDP correlation.
Conducted exploratory data analysis (EDA) to extract key insights.

Hi,