Sancharee Das
Associate Director - AI@Lilly
- Role
- Eli Lilly and Company at Eli Lilly and Company
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Sancharee Das
With 16+ years of software engineering experience and 6 years of machine learning expertise, I am a Machine Learning enthusiast, keen on ML model building and deployment. I have a Master of Science in Artificial Intelligence and Machine Learning from Liverpool John Moores University and a Post Graduate Diploma in Machine Learning and AI from International Institute of Information Technology Bangalore. I also hold several certifications in software testing, financial markets, and Azure fundamentals.My passion is to design and develop ML solutions that address real-world business problems and create value for customers. I have proficiency in various ML algorithms and deep learning models, such as classification, regression, random forest, naive Bayes, XGBoost, CNN, LSTM, and bi-LSTM. I have also worked on computer vision based fatigue detection systems using low-light image enhancement, Multi-Task Cascaded Convolutional Neural Network, and LSTM. I have published a paper on this topic in the 2023 International Conference on Developments in eSystems Engineering. I am always eager to learn new technologies and explore new domains in ML.
Experience
Eli Lilly and Company
Present
Education
National Gems H.S. School
ISC(XI-XII), Biological and Physical Sciences
2002 — 2004
Liverpool John Moores University
Master of Science - MS, Artificial Intelligence and Machine Learning
University of Calcutta
B.Sc, Statistics,Economics,Mathematics
2004 — 2007
Sikkim Manipal Institute of Technology - SMU
Master of Computer Applications (MCA)
2010 — 2013
National Gems H.S.School
ICSE(Class X)
1992 — 2002
International Institute of Information Technology Bangalore
PG Diploma in Machine Learning and AI, Machine Learning
2020 — 2021
Skills
- Sdlc
- Hp Quality Center
- Hp Qtp
- Selenium Webdriver
- Requirements Analysis
- Regression Testing
- Test Planning
- Jenkins
- Devops
- Nightwatch
- Test Cases
- Node.js
- Manual Testing
- Testing
- User Acceptance Testing
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