Saifullah Rahool
FAST
· 2019
·
i19 - 1779
Email
—
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
—
CGPA
—
Year
2019
Education
—
Address
—
DOB
—
Career
Current role
—
Target role
—
Skills
Python, Streamlit, Scikit-learn, MySQL, Github, Tableau
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
DRIFT CACH Driftcach forecasts drift (change in frequency of data) in the datastream using Machine Learning to optimize ETL LAYER for near realtime data warehousing Technology Used: Python, Streamlit, Scikit-learn, MySQL, Github, Tableau Supervisor Name: Dr. M. Asif Naeem Group Members: Saifullah Rahool (i19 - 1779)
AI enrichment
Saifullah Rahool is a student who developed a machine learning project named Driftcach to forecast data drift for optimizing ETL layers in near real-time data warehousing. The project utilized Python, Scikit-learn, and Streamlit under the supervision of Dr. M. Asif Naeem.
Skills (AI)
["Python", "Streamlit", "Scikit-learn", "MySQL", "Tableau", "Machine Learning", "Data Warehousing", "ETL Optimization"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 442
Created: 1778140213