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Data Science with less than a year in Machine Learning & Statistical Analysis
Aspiring Data Scientist with strong knowledge in Machine Learning, Statistical Analysis, SQL, Python, and Data Visualization. Experienced in developing data-driven solutions, preprocessing large datasets, performing exploratory data analysis (EDA), and building analytical workflows using Python and SQL. Skilled in predictive modeling, dashboard development, anomaly detection, and generating actionable business insights through data analytics and visualization techniques. Passionate about leveraging AI and data science methodologies to solve real-world problems.
Sacred Heart College, Thevara
Integrated M.Sc. · Computer Science (Data Science)
September 1, 2021 – April 1, 2026
Mary Matha H.S.S Thrikkakara
Higher Secondary Education
June 1, 2019 – May 1, 2021
Indian Institute of Science Education and Research
Research Intern
December 1, 2025 – March 1, 2026
India
Null Class
Data Science Intern
May 1, 2024 – June 1, 2024
India
Time Table Generator Using Optimization Algorithms
June 12, 2026 – Present
Developed an intelligent scheduling system using Genetic Algorithms and Constraint Satisfaction techniques for optimization and resource allocation.
Road Traffic Monitoring System
June 12, 2026 – Present
Built a computer vision-based traffic monitoring system for real-time vehicle and pedestrian analysis using image processing and data analytics techniques.
Adaptive Edge Security for 6G
June 12, 2026 – Present
Designed AI-driven analytical monitoring workflows for anomaly detection and adaptive threat analysis in distributed 6G network environments.
View ProjectAnimal Disease Detection Using BioBERT
June 12, 2026 – Present
Developed a deep learning and NLP-based disease prediction model using BioBERT for animal healthcare analytics and classification tasks.
Machine Learning Pipelines (Azure)
Unknown
June 12, 2026 – Present
Generative AI
Unknown
June 12, 2026 – Present
Cyber Forensics
Unknown
June 12, 2026 – Present
UI/UX Designing
Unknown
June 12, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in diverse applications of data science, from optimization and computer vision to network security and bioinformatics. This breadth of interest suggests adaptability and a willingness to explore different problem domains. However, the experience is primarily academic and internship-based, which might require a period of adjustment to a fast-paced, senior-level industry environment. The focus on research and academic publications aligns with a culture that values innovation and continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', and 'Team Collaboration' as soft skills. Project descriptions and internship roles suggest an ability to work on data-driven solutions and contribute to analytical workflows. The academic nature of projects and internships indicates a foundational understanding of operational processes in data science, but real-world, production-level operational experience is limited.