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Curriculum Vitae

A summary of my education, skills, and project experience in AI and Data Science

Contact for Resume

Amara Pranav

Bachelor of Technology in Artificial Intelligence and Data Science × Machine Learning × Deep Learning

Bangalore, India• +91 83174 93825• prnvamara@gmail.com

PROFESSIONAL SUMMARY

Passionate B.Tech student in AI and Data Science with a strong foundation in Machine Learning and Deep Learning. Specialized in building intelligent systems and data-driven solutions that solve real-world problems. Experienced in developing ML models, neural networks, and data pipelines with a focus on practical applications. Committed to continuous learning and staying updated with the latest advancements in AI/ML technologies.

EDUCATION

Bachelor of Technology (B.Tech)

Artificial Intelligence and Data Science

Bangalore, India

CGPA: 8.69/10

2022 — Present

PROJECT EXPERIENCE

Deep Learning Image Classification System

2024

  • • Developed a CNN-based image classification model using TensorFlow and Keras
  • • Achieved 95% accuracy on multi-class dataset with data augmentation techniques
  • • Implemented transfer learning using pre-trained models (ResNet, VGG16)

Predictive Analytics Dashboard

2024

  • • Built an end-to-end predictive model using scikit-learn and pandas
  • • Created interactive visualizations using Plotly and Streamlit
  • • Deployed ML pipeline for real-time data analysis and forecasting

Natural Language Processing Chatbot

2023 – 2024

  • • Developed an intelligent chatbot using NLP techniques and transformer models
  • • Implemented intent recognition and entity extraction using spaCy
  • • Integrated with messaging platforms for seamless user interaction

Time Series Forecasting Model

2023

  • • Built ARIMA and LSTM models for time series prediction
  • • Analyzed historical data to forecast trends with 90% accuracy
  • • Automated data preprocessing and feature engineering pipeline

Recommendation Engine

2023

  • • Implemented collaborative filtering and content-based recommendation algorithms
  • • Built a hybrid model combining multiple recommendation strategies
  • • Optimized for scalability and real-time performance

CORE COMPETENCIES

Programming Proficiency: Python, Java, C++, SQL
Data Science: pandas, NumPy, Matplotlib, Seaborn, Plotly
Tools & Platforms: Git, Docker, Jupyter, Colab, VS Code
Databases: MySQL, MongoDB, PostgreSQL

AI/ML EXPERTISE

Machine Learning: scikit-learn, TensorFlow, PyTorch, Keras
Deep Learning: CNNs, RNNs, LSTMs, Transfer Learning, Neural Networks
NLP: NLTK, spaCy, Transformers, Text Processing, Sentiment Analysis
Web Technologies: HTML, CSS, JavaScript, Flask, Streamlit
Soft Skills: Problem-solving, Team Collaboration, Communication, Quick Learning

PREVIOUS EDUCATION

Higher Secondary Education (Class XII)

Science Stream with Computer Science

Bangalore, India

2022

Secondary Education (Class X)

Bangalore, India

2020