Aiswariya Ramachandran
@aiswariyaramachandran
Data scientist skilled in Python, SQL, and Power BI.
What I'm looking for
I am a data-focused professional with hands-on experience in Python, SQL, and Power BI, combining statistical training with practical data engineering and visualization skills.
During my MSc, I completed internships and projects that included automating data workflows, building interactive dashboards, and developing ML/DL models for real-world problems such as mental illness detection from social media.
At Caterpillar, I led exploratory data analysis, ETL tasks, and Power BI dashboard development to surface shipment and regional performance insights; at The Federal Bank, I gained operational experience and collaborated to streamline reporting processes.
I am driven to apply rigorous data preparation, feature engineering, and model evaluation to deliver actionable insights that improve business and operational outcomes.
Experience
Work history, roles, and key accomplishments
Probationary Officer
The Federal Bank Ltd.
Sep 2024 - Jan 2025 (4 months)
Managed branch operations including account services, deposits, and loan processing while promoting deposit products and ensuring policy compliance, improving customer satisfaction and streamlining routine reporting.
Data Science Intern
Caterpillar Inc.
Aug 2023 - Jun 2024 (10 months)
Performed EDA on large datasets, automated data processing workflows with Python to reduce manual effort, and built interactive Power BI dashboards to visualize shipment metrics and regional performance.
Education
Degrees, certifications, and relevant coursework
Amrita School of Arts and Sciences, Kochi
Master of Science, Applied Statistics and Data Analytics
2022 - 2024
Grade: 9.73 CGPA
Activities and societies: Gold Medalist
Completed MSc in Applied Statistics and Data Analytics with strong academic performance and a focus on statistical methods, machine learning, and data visualization.
University of Calicut (Mercy College, Palakkad)
Bachelor of Science, Mathematics
2019 - 2022
Grade: 9.583 CGPA
Activities and societies: University 3rd Rank
Completed BSc in Mathematics with high academic standing, covering core mathematical concepts and quantitative problem solving.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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