Sajil C. K.

Sajil C. K.

ABOUT ME
Data Scientist|Computational Biologist
Data Scientist|Computational Biologist

Data Scientist with more than 2 years of experience in Python, Scikit-learn, Keras, Numpy and Pandas

● Total experience of 2+ years as Data Scientist and Ph.D in Computational Biology
● Excellent skills in trouble shooting, communication and presentation skills
● Experience in academic & industrial research and scientific computation
● Excellent technical blog writing skills

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Joined December 2017
EXPERTISE
2 years experience | 1 endorsement
3 years experience
4 years experience | 1 endorsement
HTML/CSSBashR
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5 years experience | 1 endorsement
3 years experience
1 year experience
2 years experience
SOCIAL PRESENCE
GitHub
AcousticsLab
A Python Module for Simulating Active Noise Control Experiments
Python
24
1
ancram
Effect of Transducer Positioning in Active Noise Control, Sajil C. K., Biji C. L. and Achuthsankar S. Nair, 5th International Conference on Signal Processing and Integrated Networks(SPIN 2018). Source Code and Supporting Files for a Paper Presented at SPIN 2018.
Python
15
2
EMPLOYMENTS
Data Scientist
GenterpretR
2022-06-01-2023-01-01
  • Researched and implemented machine learning solutions for precision oncology
  • Developed bioinformatics pipelines and wrote...
  • Researched and implemented machine learning solutions for precision oncology
  • Developed bioinformatics pipelines and wrote production level Python code
  • Worked with multi-omics data (TCGA,CCLE,GENIE)
Python
R
Keras
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Python
R
Keras
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PROJECTS
Breast Cancer Survival Prediction with Clinical and Gene Expression DataView Project
2022
Predicted survivability of breast cancer patients using classical machine learning techniques Deployed XGB model with a validation accura...
Predicted survivability of breast cancer patients using classical machine learning techniques Deployed XGB model with a validation accuracy of 81% andan AUC score of 0.76
Python
Machine learning
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Python
Machine learning
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Segmenting Dash Cam VideoView Project
2023
Employed UNET and CANET models to segment dash cam videos from Indian roads Obtained a validation IOU score of 0.4886 (UNET) and 0.42977 ...
Employed UNET and CANET models to segment dash cam videos from Indian roads Obtained a validation IOU score of 0.4886 (UNET) and 0.42977 (CANET) respectively
Python
Keras
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Python
Keras
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