Muhammad Zeeshan · imagine-talent

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Academic

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Year

2019

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Career

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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:
Muhammad Zeeshan (i19 - 1711)

AI enrichment

Muhammad Zeeshan is a student who developed a machine learning project named Drift Cach 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", "GitHub", "Tableau", "Machine Learning", "Data Warehousing"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 442
Created: 1778170171