DEEKSHITH GOWDA

Deekshith Gowda N
Email: [email protected] | Phone: 9380508721 | Location: Tumkur, Karnataka

Professional Summary
Energetic and motivated individual driven by the challenges of a dynamic work environment, committed to teamwork, and dedicated to achieving organizational goals.

Education

BE, Computer Science & Engineering, Siddaganga Institute of Technology, Tumkur (VTU, Belgaum) – 2026
Diploma, Computer Science & Engineering, Govt. Polytechnic, Chitradurga (DTE, Bengaluru) – 2023, CGPA: 9.15
SSLC, Govt. High School, Hosuru (KSEEB, Karnataka) – 2020, Percentage: 81.1%
Projects

Depression Detection in Social Media: Built a Python and NLP-based sentiment analysis tool using Random Forest Classifier to identify depression indicators in tweets.
AI-Enhanced Pneumonia Detection: Developed a CNN model with transfer learning for chest X-ray classification, with a user-friendly interface for real-time image analysis.
AI-Driven Plant Health Detection: Utilized MobileNetV2 and transfer learning for plant disease detection, integrating a custom data generator to handle incomplete datasets.
Plant Species Classification: Leveraged Random Forest to classify plants based on care requirements.
Ongoing: Smart Grid Anomaly Detection & Interactive DSA Visualizer.
Technical Skills
Proficient in C, C++, Python, Flask, OOP, DSA, Android development with Kotlin, MySQL, AI/ML, NLP, Linux, and Web3 blockchain.

Internship
KNOWX Private Ltd., Bengaluru – 4 months

Personal Skills
Problem-solving, effective listening, communication, teamwork, and time management.

Languages
Kannada, English, Hindi, Telugu.