
Haridas Vishal
@haridasvishal
I build machine learning solutions for real-world health and food challenges.
What I'm looking for
I've built machine learning solutions for food adulteration analysis and abnormal respiratory sound detection, applying classifiers including Gradient Boosting, KNN, SVM, Decision Tree, Logistic Regression, and LGBM.
For food adulteration analysis, I designed preprocessing workflows for cleaning, encoding, scaling, and SMOTE class balancing, supported by exploratory data analysis and visualizations. For pulmonary disease detection, I used MFCCs to classify COPD, asthma, and pneumonia sounds for potential real-time telemedicine and wearable applications.
I bring hands-on skills in Python, Java, SQL, data analytics, visualization, and data structures.
Experience
Work history, roles, and key accomplishments
Computer Science Enthusiast
St. Martin's Engineering College
Jan 2021 - Jan 2025 (4 years)
Pursuing a Bachelor of Technology in Electronics and Communication Engineering, with a focus on applying machine learning to real-world problems.
Education
Degrees, certifications, and relevant coursework
St. Martin's Engineering College
Bachelor of Technology, Electronics and Communication Engineering
2021 - 2025
Grade: 7.60 CGPA
Pursued a Bachelor of Technology in Electronics and Communication Engineering, achieving a CGPA of 7.60.
Akash Junior College
Intermediate, PCM
2019 - 2021
Grade: 92.2%
Completed Intermediate (PCM) with a score of 92.2%.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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