Summary
Education
Skills
Hobbies and Interests
Languages
Extracurricular Activities
Projects
Timeline
Generic

Basavesh G S

Summary

I am an aspiring Data Science and AI professional with fundamentals in Machine Learning, Deep Learning, and Data science. I am passionate about solving real-world problems through data-driven solutions. Seeking an opportunity to apply my skills in a dynamic data science role to contribute to innovative projects.

Education

B.E - Electronics And Communication

Global Academy Of Technology

SSLC -

Rotary International School

KVR Maruthi PU College (Dekksha Tumkur)

Skills

  • Python
  • Git
  • GitHub
  • MySQL
  • Pandas
  • Numpy
  • TensorFlow
  • Scikit-learn

Hobbies and Interests

  • Interest in building and experimenting with automation
  • Participation in software hackathon
  • Being up-to-date on current Technologies
  • Attending tech meetups, conferences, webinars on AI

Languages

  • English, bilingual proficiency
  • Kannada, native
  • Hindi, Professional
  • Telugu

Extracurricular Activities

  • Finalist of SIH 2023 participated in smart India Hackathon 2023 where I worked on a project of identifying the individuals trapped in disaster-affected areas
  • State level chess player State level Kabaddi player

Projects

Netflix Stock Price Prediction Using Recurrent Neural Networks (RNN)

  • Developed a time-series forecasting model to predict Netflix stock prices using RNN.
  • Captured temporal dependencies in historical stock price data (open, close, high, low, volume) for accurate predictions.
  • Evaluated performance using some metrics

COVID-19 Detection From X-Rays Using Convolutional Neural Networks (CNN)

  • Built a CNN-based system for detecting COVID-19 from chest X-ray images with high accuracy.
  • Utilized advanced architecture like VGG for improved classification performance.

Malaria Detection Using Convolutional Neural Networks (CNN)

  • Developed a CNN model to automate malaria detection in blood smear images.
  • Implemented Transfer Learning with pre-trained models to improve accuracy and reduce training time.
  • Processed blood smear images for classification into malaria-positive and negative cases.

Timeline

B.E - Electronics And Communication

Global Academy Of Technology

SSLC -

Rotary International School

KVR Maruthi PU College (Dekksha Tumkur)
Basavesh G S