I specialize in DataOps and building scalable solutions using AWS and other cloud technologies. With a focus on efficiency and automation, I'm passionate about optimizing data flows and enhancing data infrastructure to support advanced analytics and operational excellence.
Highlights
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Answers-Challenges
Answers-Challenges PublicThis repo is my answer to multiple challenges from different sites.
TSQL 2
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Sensor_data_ETL
Sensor_data_ETL PublicData engineering project demonstrate ETL for sensor data. Includes airflow for automation, dbt for templating and doumentation
Python 1
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Pharmaceutical-Sales-Prediction
Pharmaceutical-Sales-Prediction PublicTime series analysis for phrmacutical sales analysis and forecast of sales across several cities in 6 weeks using three years of consumer and sales data in multiple stores
Jupyter Notebook 1
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Casualty-Challenge/Breast_Cancer_Causality_Inference
Casualty-Challenge/Breast_Cancer_Causality_Inference PublicA causal graph is a central object in the framework, but it is often unknown, subject to personal knowledge and bias, or loosely connected to the available data. The main objective of the task is t…
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Equb
Equb PublicM-application that demonstrates pixel-perfect UI replication, efficient state management using Provider, and advanced Git techniques. The project integrates with mock APIs for dynamic financial tra…
Dart
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