
Dalvi Saee
@dalvisaee
Data Analyst at Quantum Learning who developed customer segmentation and retention analysis methodology.
What I'm looking for
At Quantum Learning, I developed a data analysis methodology to improve customer segmentation and retention analysis. I analyzed datasets for trends, outliers, and insights, then used SQL and Excel to create reports and visualizations about customer behavior.
During my Email Spam Detection Using ML internship, I worked on a hybrid approach combining Random Forest and Gradient Boosting for mail spam detection. My projects also include a web vulnerability scanner for detecting issues such as SQL injection and XSS.
Experience
Work history, roles, and key accomplishments
Data Analytics Intern
Quantum Learning
Nov 2024 - Feb 2025 (3 months)
Developed a data analysis methodology to improve customer segmentation and retention analysis. Conducted data analysis to identify trends, outliers, and insights from large datasets, and utilized SQL and Excel to create reports and visualizations.
Email Spam Detection Intern
Email Spam Detection Using ML
Implemented a hybrid approach combining Random Forest and Gradient Boosting algorithms for mail spam detection. Completed a one-month internship.
Education
Degrees, certifications, and relevant coursework
Usha Mittal Institute of Technology, SNDT University
B.Tech, Computer Science and Technology
2020 - 2024
Pursued a Bachelor of Technology in Computer Science and Technology from 2020 to 2024.
A.J.M. College of Science Karjat
HSC, General Studies
Completed HSC from Maharashtra Board in 2020.
K.E.S. English Medium School
SSC, General Studies
Completed SSC from Maharashtra Board in 2018.
Future Skills Prime
Gold Certificate, Data Science and Analytics
Earned a Gold Certificate in Data Science and Analytics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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