Sonali Thakur

A detail-oriented individual with a strong foundation in software development and problem-solving. Proficient in Java, Python, and SQL, with a strong problem-solving mindset and a collaborative approach to delivering impactful solutions. Eager to contribute to innovative IT projects and deepen expertise in a dynamic role.

• SQL Advanced, HackerRank, 11/24
• Introduction to Cybersecurity, Cisco, 10/24
• Python Essentials 1, Cisco, 10/24
• AWS Technical Essentials, AWS, 08/24

• Portfolio Website with CMS

Developed a responsive and customizable portfolio website that integrates with a Content Management System (CMS) to maintain and dynamically present personal projects, abilities, and achievements. The CMS enables simple content modifications without the need for technical expertise, hence improving usability and efficiency. 

Tools Used: HTML,CSS,JavaScript,Strapi,React.js

Inventory Management System with Real-Time Analytics

• Email/SMS Spam Classifier

Developed a machine learning model to categorise emails and SMS messages as spam or not spam. Text data is preprocessed using techniques such as tokenisation and TF-IDF vectorisation. Naive Bayes and Logistic Regression models were trained and assessed, and they detected spam messages with good accuracy.

Tools Used: Python, Pandas, NumPy, Scikit-learn, NLTK, Matplotlib, Seaborn.

• Brain Tumor Classification Using Neural Networks

Designed and implemented a deep learning-based system for the classification of brain tumors using MRI scans. Leveraged convolutional neural networks (CNNs) to accurately detect and classify tumors into categories. The project focused on preprocessing medical imaging data, developing an effective neural network architecture, and optimizing the model for high accuracy and low false-positive rates.

Tools Used: Python, TensorFlow, NumPy, Pandas, Matplotlib, scikit-learn, OpenCV