Data Scientist

Technical Skills: C, Python, SQL, Power BI, PyTorch, Tensorflow.

Education

• B.E. ECE

Work Experience

Data Analytics Intern @ Senchola (Dec 2023 - March 2024)

• Conducted end-to-end data collection, ensuring comprehensive datasets
• Applied fundamental data cleaning techniques to improve accuracy and reliability
• Contributed to defining and implementing KPIs

Cybersecurity Intern @ Ozone cybersecurity (May 2022 - Oct 2022)

• Gained exposure to various cybersecurity challenges and defence methodologies
• Acquired hands-on experience in amateur penetration testing activities, gaining practical insights into cybersecurity vulnerabilities.

Projects

An Efficient Spectrum Accessing Technique In Cognitive Network Using Deep Learning Algorithm

Publication

Enhancements for spectrum sharing to facilitate uninterrupted secondary user transmission across the white band. Proposed and implemented a collaborative detection method, leveraging the power of Artificial Neural Network (ANN) and Feed Forward Neural Network (FFNN) to optimize spectrum sensing efficiency. Showed good performance, especially at low Signal-to-Noise Ratio (SNR), resulting in minimized delays and significantly improved throughput

Certifications

• Data Science
• AI/ML/DL
• Embedded Systems

Talks, Lectures & Workshops

• Quantum Computing @Shaastra 2021, IIT Madras (Mar 2021)
• Quantum Computing @IITDM Kurnool with CodeTantra (Jan 2021)
• Hacking Processors: An Unconventional Hacking Methodology @Shaastra2021, IIT Madras (Mar 2021)
• Control of Robotic Arm using Inverse Kinematics @Shaastra2021, IIT Madras (Mar 2021)
• Sixth Sense Robotics @PrismCode Info Solutions (Feb 2020)
• Antenna Design & Simulation at Pantech ProEd (Feb 2020)