Data Science with less than a year in Machine Learning, Deep Learning & Cybersecurity
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Data Scientist skilled in Python, SQL, Machine Learning, and Deep Learning with hands-on experience in CNN-based image classification, topological data analysis, steganography, and smart contract development. Published researcher with two conference papers (Springer Nature & INFUS 2026). Seeking full-time or internship roles in Data Science, AI, and Analytics.
MS Ramaiah University
B.Sc. Data Science & Analytics (Hons.) · Data Science & Analytics
N/A – June 30, 2026
VOIS (Vodafone Idea Foundation) & AICTE
Blockchain Intern
January 1, 2025 – February 1, 2025
India
Edunet Foundation & IBM SkillsBuild (AICTE)
Cybersecurity Intern
January 1, 2025 – February 1, 2025
India
AI Image Classification via Topological Data Analysis
July 1, 2025 – Present
Applied Persistent Homology & Persistent Entropy on Canvas, MidJourney, DALL-E 3, and Llama datasets; implemented SVM, RF, KNN, Decision Tree. Published in Springer Nature.
Sign Language Digit Detection (Deep Learning)
March 1, 2025 – Present
CNN on 64×64 grayscale images with augmentation, dropout & batch norm; 96-98% accuracy. Tools: TensorFlow, Keras, OpenCV.
Smart Contract for Land Registry
March 1, 2025 – Present
Solidity contract with ownership transfer, document verification & fraud prevention. Tested on Remix, MetaMask, Ganache.
Image Steganography
March 1, 2025 – Present
LSB-based data embedding/extraction in Python with a GUI for encode/decode operations.
Detecting Imminent Crowd Stampedes Using Topological Deep Learning in Visual Surveillance
8th Intl. Conference on Intelligent & Fuzzy Systems
July 1, 2026 – Present
Decoding AI-Generated Images: A Topological Approach to Source Classification with Noise
Springer Nature
July 1, 2025 – Present
IBM Cybersecurity Fundamentals certification
IBM SkillsBuild
February 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong academic drive and a passion for cutting-edge research, evidenced by publications and advanced project topics. Their interest spans multiple domains (AI, Blockchain, Cybersecurity), which could indicate adaptability and a willingness to learn new areas. However, the lack of diverse professional experience or team-based projects makes it difficult to fully assess cultural fit for a senior role requiring extensive collaboration and leadership.
Soft Skills & Operational Fit
The candidate's academic achievements and publications suggest strong analytical and problem-solving skills. The project descriptions indicate an ability to work independently on complex technical tasks. However, the limited professional experience (internships) means operational fit in a fast-paced, senior-level environment is yet to be fully demonstrated. Collaboration skills are not explicitly highlighted beyond academic projects.