GEMA Data Analysis & Pattern
Srishti Jain
GEMA Data Analysis & Pattern Recognition Pipeline
Processed, cleaned, and analyzed complex structured datasets within the GEMA project framework to uncover key underlying patterns.
Key Contributions:
Exploratory Data Analysis (EDA): Executed data profiling to inspect feature distributions, missing values, and record anomalies.
Data Transformation: Standardized variables and applied data cleaning logic to prepare raw inputs for analytical evaluation.
Insight Extraction: Generated metric summaries and visualizations to interpret dataset behaviors effectively.
Tools Used: Data Analysis, Data Cleaning, Pattern Evaluation, Excel/Python
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Posted Sep 15, 2026
GEMA Data Analysis & Pattern Recognition Pipeline Processed, cleaned, and analyzed complex structured datasets within the GEMA project framework to uncover k...
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