Hello there,
I will start by gaining insights into the datasets you have, including the structure and key attributes of the IT metrics and logs. Utilizing AWS Glue, I will clean and preprocess the data to ensure it is ready for analysis. This will involve handling missing values, normalizing data, and preparing it for clustering. I will apply clustering algorithms such as K-means or DBSCAN, alongside classification and predictive algorithms, to extract meaningful patterns from the data. If necessary, I can create synthetic data to augment the analysis using Python libraries like Faker or Numpy. Finally, I will evaluate the models' effectiveness using various metrics and provide actionable insights based on the clustered data.
Relevant Experience:
Project 1: Data Center BI Project
Description: Building data warehouse, Power BI analytics, monitoring KPI such as investment to
help clients making business decision.
Responsibilities:
Live Engagement Projects: Handled several client queries which involves collection & define analytics requirement, analyzation of dataset, identification of KPIs, and deliver of insights via reports or presentation.
Research: Utilize publicly available data and perform secondary research to offer reports on market analysis, market
segmentation, estimation and budgeting.
I hope my skills are matching for your requirements and profile, please ping me at your convenience time so that we can go for further discussion.
Regards,
Navina