2nd Year BTech CSE · AI/ML
Hi, I'm Tanu Soni.
2nd year BTech CSE student specializing in AI/ML.
I build data-driven solutions using Python, C++, Java, and SQL — and I love turning complex ideas into clear, actionable insights.
2nd Year BTech CSE · AI/ML
2nd year BTech CSE student specializing in AI/ML.
I build data-driven solutions using Python, C++, Java, and SQL — and I love turning complex ideas into clear, actionable insights.
Learn more about my background and expertise
I'm a 2nd year BTech CSE student specializing in AI/ML, focused on applying machine learning techniques to solve real-world problems. I enjoy collaborating, presenting my work, and explaining technical concepts in a clear, structured way.
My passion lies in bridging the gap between complex machine learning theory and practical applications. I'm particularly interested in data extraction, preprocessing, visualization, model training, and optimization—including deep learning with CNNs—and translating business requirements into technical solutions.
Education
BTech CSE
2nd Year
Focus Area
AI/ML
Data Science
Strengths
Communication
Team Collaboration
Technologies and strengths I work with
Data processing, model building, and experimentation with TensorFlow and scikit-learn
Competitive programming and performance-critical applications
Object-oriented design and application development
Database design, optimization, and complex query execution
Creating insightful visualizations with Matplotlib, Seaborn, and Plotly
Extracting, cleaning, and preparing datasets for analysis and training
Building and training machine learning models with hyperparameter tuning
Convolutional neural networks for image classification and computer vision
Clear articulation of technical concepts to diverse audiences
Effective delivery of project demos and technical presentations
Working effectively in agile teams and cross-functional projects
Analytical approach to breaking down complex problems
Work that demonstrates my technical capabilities
Built and trained a deep neural network for image classification using Python and TensorFlow, achieving 94% accuracy on test data.
Developed an interactive dashboard for data visualization and analysis using Python and SQL, processing 1M+ records efficiently.
Created a predictive analytics system using machine learning algorithms with real-time insights and automated reporting.
Interested in my work or potential opportunities? Feel free to reach out. I'm always open to discussing new projects and ideas.