About the Internship
Selected intern’s day-to-day responsibilities include:1. Analyze and preprocess noisy, real-world health and sensor data using statistical and signal processing techniques
2. Design and implement signal cleaning, filtering, denoising, and feature extraction pipelines
3. Apply time-series analysis, spectral analysis, and statistical modeling to interpret complex data patterns
4. Develop and train machine learning models on preprocessed signals for prediction, classification, or anomaly detection
5. Evaluate data quality and identify artifacts, outliers, and inconsistencies in raw datasets
6. Collaborate with cross-functional teams to understand data sources, sensor behavior, and real-world constraints
7. Validate models using appropriate statistical metrics and experimental design principles
8. Optimize algorithms for performance, robustness, and scalability
9. Document assumptions, methodologies, and findings clearly for technical and non-technical stakeholders
10. Iterate rapidly on experiments, incorporating feedback from real-world data observations
11. Stay updated with advances in signal processing, applied statistics, and ML techniques relevant to healthcare data
Number of Openings
1 openingsPerks of this Internship
5 days a week
Other Requirements
1. are available for the part time job/internship
2. have relevant skills and interests
3. can start the part time job/internship between 23rd Dec'25 and 27th Jan'26
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
6. are from Kolkata and neighboring cities
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