Darshan N

MCA student · Aspiring AI/ML and Python Intern

Channapatana, Karnataka, India

@darshan_n

GitHub

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🎓 Master of Computer Applications (MCA), AI & Machine Learning at S-VYASA Deemed to be University · Graduating 2027

About

MCA student specializing in Artificial Intelligence and Machine Learning at S-VYASA Deemed to be University. Hands-on experience in Python, data preprocessing, exploratory data analysis, and supervised machine learning, with projects built using Scikit-learn and data analysis libraries.

Experience

Academic project: Old Age Home Management System

Tested a web-based system; created manual test cases and performed regression and performance testing using HTML, CSS, PHP, MySQL, and XAMPP.

Education

Master of Computer Applications (MCA)

S-VYASA Deemed to be University

AI & Machine Learning · 2027
Bachelor of Computer Applications (BCA)

Shanthiniketan College of Science and Management Studies

2022 – 2025
Qualification

Channabika PU College

2020 – 2022
High School

St Michael’s English School

2020

Skills

<3 months

R SQL NumPy Python Pandas Seaborn Encoding Streamlit Matplotlib Regression Naive Bayes scikit-learn Data Cleaning Random Forest Classification Decision Trees Machine Learning Cross Validation Linear Regression Feature Engineering Hyperparameter Tuning Support Vector Machine KNN (K-Nearest Neighbors) Exploratory Data Analysis Logistic Regression ( in progress )

Tools / apps / platforms

<3 months

MySQL XAMPP GitHub Microsoft Office Microsoft PowerPoint

Languages

Fluent

English Speak Kannada Speak

Conversational

Hindi Speak

Projects

Titanic Survival Prediction

Naive Bayes

Built a classification model with data preprocessing, feature encoding, train-test split, and model evaluation. Resume-reported accuracy: 90% (verify this value against the final saved evaluation before applying).
AI vs Human Text Analysis

Python, Pandas, Matplotlib, Seaborn

Explored AI-generated and human-written text samples using features such as sentiment, text length, quality score, and plagiarism score. Created visualizations including bar charts, histograms, box plots, scatter plots, and word clouds.
Car Price Prediction

K-Nearest Neighbors (KNN)

Built a car price prediction model using Scikit-learn with categorical encoding, numerical feature scaling, and a train-test split. Reported an R² score of approximately 0.91.
Student Performance Prediction

Python, Pandas, Scikit-learn

Developed a regression workflow to predict student exam scores using student and learning-related factors. Performed preprocessing and model evaluation; a tuned Gradient Boosting model achieved an R² score of approximately 0.74 on the test set.

Courses & certifications

Introduction to Data Science · DataCamp
Supervised Machine Learning (Intermediate) · DataCamp
Generative AI (Basic) · Simplilearn

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