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Tamilarasan Sabapathy
,
Southampton, United Kingdom
Experience
Other titles
Skills
I'm offering
A data scientist with experience in a AI based startup, developing and deploying machine learning models to production. Specific accomplishments include custom software development with an interactive dashboard for data analytics with visualization in AWS cloud services.
Markets
United Kingdom
Links for more
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Language
English
Fluently
My experience
2020 - ?
freelance
Data Science Consultant
Aimpathy.
Collected, analyzed, and interpreted data and developed an ML model for predictive analytics
Created an interactive dashboard for data visualization and prediction
Deploying the ML model in a secure cloud environment (AWS - EC2, S3, Load balancer, AppStream)
TECHNICAL SKILLS
Programming: Python (Pandas, NumPy, Sklearn, NLTK, SciPy, Matplotlib, Seaborn)
Machine Learning: Data Exploration, Preparation, Modeling, Evaluation and Visualization,
Classification, Regression, Feature importance and Feature Engineering
Deep Learning: CNN, RNN and LSTM
Statistical methods: Data distributions, Regression Models, and Hypothesis Testing
Frameworks: TensorFlow, Keras, and Spark
Cloud Services: Amazon Web Service - EC2, S3, Loadbalancer and AppStream2.0
Database: PostgreSQL, and Microsoft Excel
Deployment: REST API and NGINX
LINKS
LinkedIn: https://www.linkedin.com/in/tamilarasan-sabapathy-0066365b/
Kaggle: https://www.kaggle.com/thamizhaiap
GitHub: https://github.com/thamizhaiap
DATA SCIENCE PROJECTS
Ames dataset for housing price prediction - Kaggle
Telecom churn classification
RESEARCH EXPERIENCE
Created an interactive dashboard for data visualization and prediction
Deploying the ML model in a secure cloud environment (AWS - EC2, S3, Load balancer, AppStream)
TECHNICAL SKILLS
Programming: Python (Pandas, NumPy, Sklearn, NLTK, SciPy, Matplotlib, Seaborn)
Machine Learning: Data Exploration, Preparation, Modeling, Evaluation and Visualization,
Classification, Regression, Feature importance and Feature Engineering
Deep Learning: CNN, RNN and LSTM
Statistical methods: Data distributions, Regression Models, and Hypothesis Testing
Frameworks: TensorFlow, Keras, and Spark
Cloud Services: Amazon Web Service - EC2, S3, Loadbalancer and AppStream2.0
Database: PostgreSQL, and Microsoft Excel
Deployment: REST API and NGINX
LINKS
LinkedIn: https://www.linkedin.com/in/tamilarasan-sabapathy-0066365b/
Kaggle: https://www.kaggle.com/thamizhaiap
GitHub: https://github.com/thamizhaiap
DATA SCIENCE PROJECTS
Ames dataset for housing price prediction - Kaggle
Telecom churn classification
RESEARCH EXPERIENCE
Github, Visualization, Feature, Web, Science, Amazon, Testing, Keras, Telecom, Predictive Analytics, Nginx, Spark, Engineering, Cloud services, Service, Tensorflow, Excel, Analytics, Linkedin, Cloud, REST, Database, Deep learning, Deployment, PostgreSQL, Research, REST API, AWS, Data Science, Machine learning, API, Python
2019 - 2020
job
Post-doctoral researcher, CNRS
Institute Fresnel.
Researcher
2015 - 2018
job
Post-doctoral researcher
Technion Israel Institute of Technology.
Researcher
2015 - 2015
job
Technical Associate
Robert Bosch Centre.
My education
2008
-
2013
Indian Institute of Science
Doctorate, Applied Physics
Doctorate, Applied Physics
2006
-
2008
Cochin University of Science and Technology
Masters, Photonics
Masters, Photonics
2004
-
2006
Bharathiar University
Masters, Physics
Masters, Physics
2001
-
2004
Bharathiar University
BSc, Probability & Statistics
BSc, Probability & Statistics
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