π BTech Computer Science Engineering student
π API Fellow at Keploy | π» Enthusiast in AI, Data Science & Software Development
- Languages: Python, Java, Kotlin, C
- Tools & Platforms: Android Studio, Jupyter Notebook, Google Colab
- Databases & APIs: MySQL, REST APIs
- ML/DL Frameworks: Scikit-learn, TensorFlow, Keras
- Development & Testing: Unit Testing, Automation Scripts, Data Cleaning, Model Evaluation
- Analyzed YouTube comments using ANN, SBM, DNN, LSTM, and more.
- Evaluated using precision, recall, F1-score, MCC, and RΒ².
- Co-authored a research paper on sentiment prediction models.
- Android app that tracks expenses and predicts future spending patterns.
- Uses machine learning to recommend smart budgeting strategies.
- Researched fare variations across platforms via surveys and data scraping.
- Identified pricing trends and consumer impacts for digital sustainability.
- Developed a real-time face detection system using CNN-based models like MTCNN and Haar Cascades, integrated with OpenCV for live video processing.
- Trained and tested on standard datasets (WIDER FACE, LFW) to ensure high accuracy and robustness across varied lighting and angles
May 2024 β June 2024
- Conducted data analysis and operational performance review.
- Evaluated ML models for classification tasks and improved accuracy with feature engineering.
- Collaborated on a sentiment analysis project with multi-model comparison.
May 2025 β June 2025
- Gained hands-on experience in building ML models for classification and prediction tasks.
- Worked on practical implementations of AI algorithms using Python, NumPy, Pandas, and Scikit-learn.
Oct 2024 β Dec 2024
- Built Android apps using Kotlin and REST APIs.
- Implemented MVVM architecture, Jetpack Compose, and explored Kotlin Multiplatform (KMM).
- π Selected for Keploy API Fellowship Program
- π€ AI/ML Summer Internship at CTTC Bhubaneswar
- πΌ Data Science Internship at Jubilant Pharmova
- π± Google Android Development Virtual Internship
- π Completed: Business Analytics for Decision Making
- π― Completed: Strategy and Game Theory for Management
- Exploring emerging technologies in software and data
- Building intelligent and user-centric applications
- Solving real-world problems through technology
- Continuous learning in AI, ML, and modern development tools
- Research-driven innovation and collaborative projects
π« Letβs Connect!
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