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Data Science with less than a year in Python, Machine Learning, and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A dedicated M.Sc. Data Science (Second Year) student at Bharathiar University, Coimbatore, with a strong interest in data-driven technologies. I possess solid skills in Python, R programming, SQL, Machine Learning, Deep Learning, and strong mathematical foundations. With a passion for solving real-world problems through data analysis and programming, I aim to grow in the fields of Data Science, Data Analysis, and Software Development. I am eager to contribute to impactful projects while continuously expanding my technical expertise.
Bharathiar University
M.Sc.Data Science · Data Science
August 1, 2024 – June 30, 2026
Ramakrishna Mission Vivekananda College
B.Sc.Mathematics · Mathematics
August 1, 2021 – June 30, 2024
Audio Speech Sentiment Analysis using Deep Learning
June 28, 2026 – Present
Developed a deep learning-based Speech Sentiment Analysis system using CNNs and MFCC features to classify audio recordings with high accuracy. Deployed the model as a real-time Flask web application supporting audio uploads, using TensorFlow and Joblib for efficient training, saving, and inference. The project demonstrates practical applications in emotional AI and customer feedback analysis.
RootFinder using YOLOv8
June 28, 2026 – Present
Developed an automated weed detection system using YOLOv8 to accurately identify weeds in crop fields. Prepared and converted the MH-Weed16 dataset to YOLO format and trained the model for real-time detection with bounding boxes and confidence scores. Integrated Darknet for dataset preprocessing, resulting in a scalable solution supporting precision agriculture and reducing herbicide usage.
Python certification
Guvi
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Mathematics and ongoing Master's in Data Science, coupled with projects in precision agriculture and emotional AI, indicates a strong interest in diverse applications of data science. This breadth of interest suggests adaptability and a willingness to explore different problem domains. The academic nature of all projects and lack of professional experience means cultural fit in a corporate setting is largely unproven, but the foundational skills align with a data-driven culture.
Soft Skills & Operational Fit
The candidate's resume indicates participation in a mathematics training program, suggesting an aptitude for problem-solving and analytical thinking. The project descriptions are clear, indicating good technical communication. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.