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Data Science with 1+ years in Machine Learning & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To achieve a challenging position in Data Scientist/Data Analyst roles, where acquired skills can be utilized towards continued growth and advancement. And to give effective as well as efficient efforts towards attainment of organizational goals with exploring wide scope of knowledge and intelligence. MTech in Data Science with a strong foundation in machine learning, deep learning, and big data technologies. Proficient in Python, SQL, and data visualization tools like Excel and Power BI. Knowledge in data preprocessing, feature engineering, and model development through academic projects. Quick learner with problem-solving abilities, eager to apply knowledge in real-world applications.
Tontadarya College of Engineering, Gadag
BE
N/A – Present
Presidency University Bangalore
MTech · Data Science
N/A – June 30, 2025
Cisco Systems Private Limited
Software Engineer Trainee Apprentice
March 1, 2023 – March 1, 2024
Bengaluru, Karnataka, India
Enhancing Clinical Applicability: Interpretable Deep Learning For Cardiovascular Risk
June 23, 2026 – Present
Developed a heart disease prediction system using deep learning with SHAP and Integrated Gradients for explainability, deployed via a Streamlit web app for real-time risk assessment. Implemented end-to-end data preprocessing and feature engineering to enhance accuracy. Designed visual explanations to show how health factors impact risk, providing clear and actionable insights.
Cross Lingual Mental Health Detection using Multilingual Transformers with Explainable AI
June 23, 2026 – Present
Developed a cross-lingual mental health detection system using XLM-ROBERTa, fine-tuned on English data and applied to Bengali text using zero-shot learning. Addressed low-resource language challenges without machine translation, enabling language-independent classification with minimal preprocessing.
Cross-Lingual Mental Health Detection using Multilingual Transformers with Explainable AI
ICCET 2026 (International Conference on Contemporary Engineering and Technology)
January 1, 2026 – Present
Enhancing Clinical Applicability: Interpretable Deep Learning For Cardiovascular Risk
ICECMSN 2025 (IEEE)
January 1, 2025 – Present
A Fused Architecture for Binary Classification of Melanoma Skin Cancer Using Deep Learning Model.
Journal of Current Research in Engineering and Science
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in impactful applications of Data Science, particularly in healthcare and mental health, which aligns with problem-solving and socially conscious organizational cultures. The experience as a Software Engineer Trainee Apprentice at Cisco Systems indicates exposure to a corporate environment. The breadth of skills listed (Python, SQL, ML, DL, NLP) and project diversity suggest adaptability and a willingness to learn, contributing positively to cultural fit. However, the limited professional experience means cultural fit is primarily inferred from academic and project work.
Soft Skills & Operational Fit
The candidate highlights 'Quality of team work and Time Management Skills', 'Good analytical skill', 'Focus and Prioritization', 'Good communication skills', and 'Ability to work as individual as well as group'. These attributes suggest a good operational fit for collaborative and analytical roles. However, without specific examples or behavioral assessments, the depth of these skills cannot be fully validated.