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Ayushibehera/README.md

πŸ‘‹ Hi, I'm Ayushi!

πŸŽ“ BTech Computer Science Engineering student
πŸš€ API Fellow at Keploy | πŸ’» Enthusiast in AI, Data Science & Software Development


πŸ› οΈ Technical Skills

  • 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

πŸš€ Notable Projects

πŸ’¬ Sentiment Analysis using ML & DL

  • 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.

πŸ’Έ Expense Tracker App with Predictive Analysis

  • Android app that tracks expenses and predicts future spending patterns.
  • Uses machine learning to recommend smart budgeting strategies.

πŸ“Š Price Disparity Between Ola & Uber on Android vs iOS

  • Researched fare variations across platforms via surveys and data scraping.
  • Identified pricing trends and consumer impacts for digital sustainability.

πŸ‘οΈ Face Detection using Deep Learning

  • 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

πŸ’Ό Experience

πŸ§ͺ Data Science Intern β€” Jubilant Pharmova Ltd.

May 2024 – 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.

πŸ€– AI/ML Summer Intern β€” CTTC Bhubaneswar

May 2025 – 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.

πŸ“± Android Development Intern β€” Google Android Virtual Internship

Oct 2024 – Dec 2024

  • Built Android apps using Kotlin and REST APIs.
  • Implemented MVVM architecture, Jetpack Compose, and explored Kotlin Multiplatform (KMM).

πŸ† Achievements

  • πŸš€ Selected for Keploy API Fellowship Program
  • πŸ€– AI/ML Summer Internship at CTTC Bhubaneswar
  • πŸ’Ό Data Science Internship at Jubilant Pharmova
  • πŸ“± Google Android Development Virtual Internship
  • πŸ“Š Completed: Business Analytics for Decision Making
  • 🎯 Completed: Strategy and Game Theory for Management

🎯 Interests

  • 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

πŸ“« Let’s Connect!
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