• Designed and trained a Neural Network achieving over 95% accuracy in data classification
• Conducted data augmentation to increase dataset size by 50% improving robustness
• Implemented software testing techniques to ensure high-quality data processing
• Produced 6 data visualizations to communicate insights and model performance

• Developed data processing and drone management features, with 98% recognition accuracy
• Conducted image annotation and labeling for training data to enhance accuracy
• Co-Authored a paper by assisting other researchers in journal submissions and presentations

• Created a stock dashboard to provide real-time quotes, financial metrics, and data visualizations
• Integrated Finnhub API to deliver accurate stock information and customizable chart data
• Designed a responsive user interface with light/dark themes using React Context and TailwindCSS

• Designed a logistic regression model to predict loan approvals using customer behavioral data
• Preprocessed datasets, optimized feature selection, and encoded variables for robust analysis
• Assessed model effectiveness with confusion matrices, accuracy scores, and ROC curve plots

• Developed a Review Analysis Tool to derive actionable insights into customer satisfaction
• Applied NLP techniques for precise sentiment classification, enhancing review analysis accuracy
• Explored data trends, distribution patterns, and key phrases to inform business strategies

• Extracted, transformed, and loaded Adidas sales data to create a dynamic, data-driven dashboard
• Designed engaging, interactive visuals using Power BI to support strategic decision-making
• Leveraged Python and R scripts to process and visualize data with custom analytics

• Built a VPN server to ensure secure client communications via encryption and session isolation
• Configured MySQL for dynamic user authentication and session lifecycle management
• Implemented multi-threading for scalable client handling, improving connection reliability