Aspiring AI/ML Developer with Python Proficiency

NANDHINI S

*******************@*****.*** +91-701******* linkedin.com/in/nandhini-s11

github.com/Nandhinisundarraj

SUMMARY

Aspiring AI/ML Developer with a strong foundation in machine learning and deep learning concepts. Skilled in Python, data analysis, and model evaluation with the ability to apply knowledge to real-world problems. Seeking an opportunity to apply technical knowledge and contribute to real-world AI solutions while continuously improving my technical expertise.

EDUCATION

PSG College of Arts and Science, Coimbatore Aug 2021 - May 2024

• Bachelor of Computer Applications, CGPA: 8.9

EXPERIENCE

Artificial Intelligence Intern, Codemore (AICTE) Feb 2026 – Present

• Learned and implemented concepts of Artificial Intelligence, Machine Learning, and Deep Learning.

• Worked on real-world datasets and performed data preprocessing and visualization. Built and evaluated models using Python.

PROJECTS

Stock Price Spike Detection - Python

• Collected historical stock data using yfinance API. Performed data cleaning, EDA, and feature engineering.

• Built classification model to detect unusual stock price spikes. Evaluated model using Accuracy, Precision, and Recall.

Recipe Generator using Food Image - Python

• Developed a CNN-based deep learning model to classify food images. Preprocessed the dataset using resizing and normalization, and trained the model to accurately predict the food category from input images.

• Based on the predicted food label, the system automatically generated the recipe title, ingredients list, and cooking process.

Workshop Finder and Booking System - JSP, MySQL

• Developed a system to help users find nearby workshops and book available slots.

• Implemented user registration, login, and booking features. Used a database to store user details and workshop information.

TECHNICAL STRENGTHS

• Programming : Python, Java (Basic)

• Libraries : NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Tensorflow

• Machine Learning : Classification, Regression, Clustering

• Tools : Google Colab, Jupyter Notebook, Excel

• Concepts : Data Preprocessing, Feature Engineering, EDA, Model Building, Model Evaluation

• Database : SQL

CERTIFICATIONS

Introduction to C programmimnd, NPTEL Feb 2022 – Apr 2022 Graphic Design and Multimedia, PSG College of Arts and Science Oct 2022 – Feb 2023 Artificial Intelligence Programmer (Course), Cultus Education Aug 2025 – Jan 2026

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