Sai Vaishnavi Etakota
Romeoville,USA
Summary
Driven by a passion for data-driven solutions, I leveraged deep learning and collaborative skills at Exposys Labs to uncover insights, influencing strategic decisions. My tenure included pioneering research on algorithmic fairness, enhancing data analytics practices. My background is further enriched by coordinating tech events at ICDECT 2K19, showcasing my organizational prowess and commitment to ethical technology.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Science Intern
Exposys Labs
04.2022 - 06.2022
- Performed exploratory data analysis on large datasets to identify patterns and trends.
- Collaborated with stakeholders from various departments to develop business insights from data.
- Conducted research on algorithmic fairness and transparency in customer data segmentation projects
- Collaborated with team members to investigate and implement new algorithms to address bias in data analysis
- Presented findings and recommendations to senior leadership, influencing strategic decision-making processes
Tech Volunteer
ICDECT 2K19
Hyderabad, India
03.2019 - 04.2019
- Conducted research on potential grant opportunities for the organization.
- Coordinated logistics for special events, such as conferences or workshops.
- Organized outreach events to engage the community and promote awareness of ethical issues in technology
Education
Master of Science - Data Science
Lewis University
Romeoville12.2024
Bachelor of Engineering - Information Technology
Stanley College of Engineering And Technology For Women
Hyderabad01.2022
Skills
- Deep Learning
- Python Programming
- Data Analytics
- Large dataset management
- Data modeling design
- Machine Learning Integration
Certification
- Machine Learning, Coursera, University of London, Comprehensive certification demonstrating proficiency in machine learning concepts and techniques, including supervised and unsupervised learning, neural networks, and model evaluation.
- Fundamentals of Scalable Data Science, Coursera, IBM, In-depth certification covering scalable data science principles and practices, including big data technologies, data preprocessing, model building, and deployment strategies.
Projects
- E-Learning Management System: Developed to improve educational conditions in online mode, demonstrating a commitment to ethical use of technology.
- Gesture Recognition System: Implemented visual scanning technology with considerations for fairness and accountability.
Timeline
Data Science Intern
Exposys Labs
04.2022 - 06.2022
Tech Volunteer
ICDECT 2K19
03.2019 - 04.2019
- Machine Learning, Coursera, University of London, Comprehensive certification demonstrating proficiency in machine learning concepts and techniques, including supervised and unsupervised learning, neural networks, and model evaluation.
- Fundamentals of Scalable Data Science, Coursera, IBM, In-depth certification covering scalable data science principles and practices, including big data technologies, data preprocessing, model building, and deployment strategies.
Master of Science - Data Science
Lewis University
Bachelor of Engineering - Information Technology
Stanley College of Engineering And Technology For Women
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