Bannusha Shaik

Data Engineer intern at SKF · Bengaluru

From analysis to the visual.

Coursework in artificial intelligence and machine learning, specialising in data modeling and warehouse design across SQL, Python, Power BI, Snowflake, Databricks, and Microsoft Fabric.

Resume LinkedIn GitHub

Coursera Machine Learning · IBM Generative AI Prompt Engineering · Tata GenAI Data Analytics, Forage

Selected work

01

Project lead time

Power BI · one row per activity

An industrial queue was living in lists. I modeled each activity with family, category, priority, owner, and dates, then put average next to P90 so one long job cannot hide inside the mean.

Useful because a review can see which category is late, and which owner is carrying the wait, without opening the source list.

Lead time by category · illustrative
86closed this quarter
12dmedian lead time
19daverage, P90 at 41d
71%closed on time

02

Scrap value

SharePoint workbook · one posting line

Finance had a raw dump and a summary file. I bound the model to the dump only, set the grain at one posting, and dropped any chart the file could not support.

Useful because a card can be traced to a line: reason, material, item, and day. A summary workbook cannot hide a posting.

Scrap value by week · illustrative
4.2scrap value, sample units
3.6of that, production
140items in the mix
900posting lines

03

5S audits

Power Apps · SharePoint · scorecards

Paper checklists became one row per audit, across five pillars, with photos and actions. Write-back is limited to the zones an identity may touch. Drafts stay out of the trend.

Useful because a lead sees the weakest pillar against a qualifying bar, instead of a folder of scanned sheets.

Pillar scores · illustrative
11screens in the app
5pillars on every row
Bannusha Shaik

About

Coursework in artificial intelligence and machine learning, specialising in data modeling and warehouse design. The SKF systems are project lead time, scrap value, and 5S audits.

B.Tech, Artificial Intelligence and Machine Learning, PES College of Engineering. Expected 2027.

Coursera Machine Learning · IBM Generative AI Prompt Engineering · Tata GenAI Data Analytics, Forage.