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Data Science with less than a year in Machine Learning, Deep Learning & Cybersecurity
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
Edunet Foundation & IBM SkillsBuild (AICTE)
Cybersecurity Intern
January 1, 2025 – February 1, 2025
India
VOIS (Vodafone Idea Foundation) & AICTE
Blockchain 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.