Sujatha Ramesh
Data And Technology Enthusiast
Friedrichshafen,BW
Summary
Data strategist with a Master’s degree in Data Science and nearly 3 years of experience in data analytics, data management, predictive modelling, AI, and machine learning. Experienced in Python, Power BI, Tableau, and SQL, with a strong track record of innovative solutions. Adept at designing and implementing dashboards to deliver critical information for strategic decision-making. Passionate about leveraging data to drive business decisions and generate positive change.
Overview
2022
2022
years of professional experience
3
3
years of post-secondary education
1
1
Language
Work History
Master Thesis
DLR (Deutsches Zentrum für Luft- und Raumfahrt)
4 2023 - 1 2024
- Developed a cutting-edge Spatio-Temporal Gaussian process model, predicting COVID-19 hotspot districts a week ahead with an accuracy of 84%.
- Enhanced preparedness and optimized resource allocation enabled real-time data-driven decision-making.
- Also, I developed an interactive visualization app using Plotly, which dynamically displays updated hotspot counties on a map every week.
Working Student Trainee
Veoneer GmbH
9 2022 - 2 2023
- Analyzed power consumption and carbon emissions across global IT sites, identifying trends and conducting data modeling to forecast future energy needs with a predictive accuracy of 79%.
- Developed dynamic reports and dashboards using Power BI and Excel, which provided stakeholders with regularly updated insights on energy consumption, carbon footprint, and opportunities for resource optimization.
- Collaborated with stakeholders to gather business requirements and ensure data solutions met operational goals, including implementing advanced data management strategies and maintaining data quality.
- Led data collection, data quality checks, and validation processes, ensuring robust datasets for reliable modeling and future analysis.
Catalogue Analyst DE
Amazon Development Centre
04.2020 - 07.2021
- Handled data-driven processes and automated them using Python and Selenium, focusing on CRM and e-commerce processes such as product categorization, incorrect product listings, product similarity analysis, and data quality. This automation reduced manual and routine work by 75%, streamlining operations and improving accuracy in DE catalog data analysis.
- Developed and managed ETL processes, driving efficiency in data integration and improving business intelligence (BI) reporting capabilities.
- Pioneered data warehouse projects for cross-functional teams, facilitating better access to performance metrics and insights.
Education
Master of Science - Data Science For Society And Business
Constructor University
Bremen, Germany 05.2021 - 01.2024
Skills
- Programming Languages: Python, R, SQL
- Data Analytics Tools: Power BI, Excel, Tableau
- Business Intelligence (BI) and Customer Relationship Management (CRM): Ad-hoc analysis, dashboard creation and reporting, process improvements
- Leadership & Team Management: Led cross-functional teams, improved collaboration and efficiency
Projects
- Predicting Future Trends of Temperature, Analyzed present temperature trends and predicted future temperature changes (2020 – 2030) in Europe using timeseries analysis, providing critical insights for climate research.
- Product Identification Using BoM Analytics, Partnered project with EY to develop a Naïve Bayes model, accurately predicting finished product types with a probability of 33%.
- Sentiment Analysis on Customer Reviews, Applied NLP, utilized Decision tree & SVM models to compare and achieve 98.6% accuracy in classifying customer reviews as positive, negative or neutral.
Timeline
Master of Science - Data Science For Society And Business
Constructor University
05.2021 - 01.2024
Catalogue Analyst DE
Amazon Development Centre
04.2020 - 07.2021
Master Thesis
DLR (Deutsches Zentrum für Luft- und Raumfahrt)
4 2023 - 1 2024
Working Student Trainee
Veoneer GmbH
9 2022 - 2 2023
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