Naman Khosla

Innovative and results-driven Data Analyst, AI/ML Engineer, and Cloud Developer with expertise in machine learning, artificial intelligence, cloud computing, and full-stack development. I am aspiring to work with data-driven, forward-thinking businesses to implement AI-powered solutions, optimize workflows, and enhance automation—driving impactful innovation, scalability, and revenue.

🔹 VulnShieldAI

📌 Description: Developed a vulnerability detection system for C/C++ code using the BigVul dataset (188,773 samples: 177,000 non-vulnerable and 11,000 vulnerable). Designed and trained machine learning models to classify vulnerable and non-vulnerable code samples.

✅ Key Achievements:

• Tokenized source code using Word2Vec and CodeBERT to generate vector embeddings.
• Implemented CNN-LSTM models with data balancing techniques like SMOTE and augmentation for enhanced accuracy.
• Achieved a balanced accuracy of 93% through advanced feature engineering and hyperparameter optimization.

🔹 Full-Stack Cloud Platform

📌 Description: Built and deployed a full-stack platform integrating video and music streaming, concert exploration, and video transcoding capabilities. Designed a microservice architecture for scalability and performance.

✅ Key Achievements:

• Developed the frontend using React and the backend with Node.js & Express.js, ensuring a user-friendly experience.
• Integrated external APIs (e.g., Ticketmaster) to provide real-time concert data and video transcoding with ffmpeg.
• Leveraged AWS services (EC2, S3, DynamoDB, RDS, Cognito) for secure and scalable cloud infrastructure.
• Implemented WebSockets for real-time updates on video transcoding progress and used Docker for containerized deployment.

🔹 User Interaction Analysis Platform

📌 Description: Designed and implemented an interactive platform to analyze and improve user behavior and decision-making using advanced human-computer interaction (HCI) principles.

✅ Key Achievements:

• Conducted usability testing and behavior analysis to enhance user experience.
• Built search and recommendation algorithms to improve information retrieval efficiency.
• Designed interactive visualizations for user feedback using Tableau and D3.js.
• Applied cognitive science principles to optimize decision-making workflows.

🔹 Predictive Modeling for Customer Retention

📌 Description: Developed a predictive machine learning model to identify factors contributing to customer churn and retention for a retail business.

✅ Key Achievements:

• Conducted feature engineering and data preprocessing on a dataset of 50,000 customer records.
• Trained classification models, including Logistic Regression, Random Forest, and Gradient Boosting, achieving an 87% accuracy in churn prediction.
• Utilized hyperparameter tuning (GridSearchCV) to optimize model performance.
• Deployed the predictive model using Flask for real-time customer retention recommendations.

🔹 Image Classification using Convolutional Neural Networks (CNNs)

📌 Description: Built a CNN-based image classification model to identify and classify objects in the CIFAR-10 dataset.

✅ Key Achievements:

• Preprocessed and augmented a dataset of 60,000 images across 10 categories to enhance model performance.
• Designed and trained a CNN architecture with multiple convolutional and pooling layers, achieving 92% accuracy.
• Optimized training using techniques like dropout, batch normalization, and learning rate scheduling.
• Visualized activation maps to interpret model predictions and highlight key features.

🎓 Queensland University of Technology (2023 – 2024)

Degree: Master of Data Analytics
Specialization: Computational Data Science, Artificial Intelligence, and Machine Learning
GPA: 6.0 / 7.0
Key Achievements:

• High Distinction in Artificial Intelligence & Machine Learning, Cloud Computing, Human Information Interaction, Object-Oriented Programming, and Databases.

🎓 University of Queensland (2022)

Degree: Graduate Certificate in Business Information Systems
Key Achievements:

• $10,000 Scholarship for Academic Excellence.
• Selected for the Future Leaders Program.

🎓 Amity University (2018 – 2021)

Degree: Bachelor of Business Administration (BBA)
Major: Business Information Systems
GPA: 8.5 / 10 (First Division)

Key Achievements:

• 100% Scholarship for Academic Excellence.
• Class Representative for all 3 years.

🎓 Lotus Valley International School (2015 – 2017)

Degree: Year 10 & Year 12
Key Achievements:

• 10/10 GPA (Year 10) and 93.5% (Year 12).
• Super Scholar Blazer Holder for 5 consecutive years.
• Cash Prize for achieving 10 CGPA in Year 10.