Sethu S account profile
Personal details
Sethu S
He/Him
Lives in Bangalore, Karnataka, India
Highlights
Machine Learning Specialization (DeepLearning.AI)
Highlights
Machine Learning Specialization (DeepLearning.AI)
Work preferences
Desired roles
Statistician
Data Scientist
Machine Learning Engineer
Marketing Analyst
Location preferences
Open to remote work
Willing to relocate
Additional info
Links & Resume
Resolute Data Scientist and Analyst with a strong record of extracting actionable insights from complex data. Proficient in Statistical Analysis, Hypothesis Testing, and Data Modelling, utilizing Python, SQL and R. Demonstrated leadership through project delivery and a commitment to innovation. Pursuing further expertise in data-driven solutions to contribute to team success.
Experience
Projects
Applied Data Science Capstone
•5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)•Completed December 2023
Work history
Statistician at Evoscien UK
(May 2023 - Present)
In Evoscien Uk , I joined as a Statistician role in May 16, 2023. Where my work mostly dealing with the data given by the Entomology team to validate the given data by Data Preprocessing, Statistical Data Analysis(Hypothesis testing, Statistical modelling, Design of Experiments, Data Visualization ) and reporting the effective hidden insights to the Entomology team for better decision making of their respective projects. Tools: Python, Excel, Word, Jupyter Notebook, R, R studio.
Education
Credentials
Bharathiar University
Master's degree in Mathematics and Statistics, graduated May 2023
September 2021 - May 2023
Arignar Anna Government Arts College, Villupuram – 605602 (Second Cycle)
Bachelor's degree in Other, graduated May 2021
June 2018 - May 2021
Machine Learning Specialization (DeepLearning.AI)
Completed October 2023
Courses
DeepLearning.AI · Course
Sequence Models
Completed November 2025
DeepLearning.AI · Course
Sequences, Time Series and Prediction
Completed November 2023
DeepLearning.AI · Course
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed October 2023
