About
Highly analytical Data Analyst with over 4 years of academic and research experience, specializing in leveraging machine learning and biomedical engineering principles to extract actionable insights. Proven ability to transform complex datasets into clear, impactful visualizations and predictive models using Python, SQL, Power BI, and Tableau. Eager to apply advanced problem-solving skills to drive data-driven decision-making in a dynamic industry role, particularly in healthcare analytics.
Work
Coimbatore, Tamil Nadu, India
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Summary
As Assistant Professor, led student teams in end-to-end data analysis projects and developed data analytics curriculum, fostering practical application of machine learning concepts.
Highlights
Mentored and guided 5+ student teams through end-to-end data analysis projects for national hackathons, encompassing data cleaning, exploratory analysis, and predictive model development in Python.
Designed and delivered a comprehensive curriculum on data analytics and soft computing, integrating real-world datasets and project-based learning to enhance student skill acquisition and practical application.
Coimbatore, Tamil Nadu, India
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Summary
As Assistant Professor, conducted applied research utilizing Machine Learning and Deep Learning for medical image processing, resulting in significant academic publications in Scopus-indexed journals.
Highlights
Pioneered applied research utilizing Machine Learning and Deep Learning for medical image processing, leading to 2 publications in prestigious Scopus-indexed journals (Bentham Science, Springer).
Engineered robust features from raw image data and meticulously optimized model hyperparameters, significantly improving diagnostic prediction accuracy in medical imaging applications.
Cultivated critical thinking and problem-solving skills among students by creating an engaging learning environment that promoted open-mindedness, curiosity, and intellectual exploration.
Publications
Languages
English
Hindi
Telugu
Tamil
Skills
Programming Languages
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL, R.
Data Visualization
Power BI, Tableau, Excel (Pivot Tables, Charts, Power Query).
Tools & Platforms
GitHub, Jupyter Notebook, MATLAB, LabVIEW, Simulink.
Machine Learning
Predictive Modeling, Classification, Statistical Analysis, Image Processing (OpenCV), Deep Learning.
Domain Knowledge
Healthcare Analytics, Medical Data Processing, ETL, Dashboarding.