About Me
Proficient in the technical implementation involving Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing & proficient in ETL processes usin…
Proficient in the technical implementation involving Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing & proficient in ETL processes using Azure Data Factory. Collaborative attitude and experience working in a cross-functional team. Ability to effectively communicate complex models to both technical teams and non-technical stakeholders.
Experience
Data Analyst Intern
Assisted in the implementation and optimization of data processing pipelines using Azure Data Factory (ADF) to facilitate efficient ETL processes.
Collaborated with cross-functional teams to identify data requirements and translate business needs into ADF workflows.
Conducted data validation and quality checks to ensure accuracy and reliability of processed data.
Contributed to the documentation and maintenance of ADF pipelines, providing support for troubleshooting and enhancements.
Contributed in real-time projects by setting up data processes in Azure Data Factory.
Handled parameters.
Performed incremental loading.
Organized JSON data.
Worked on client-specific conditions.
Used Power BI for visualizing insights.
Collaborated with teams to align data workflows with business needs.
Ensured accuracy through validation.
Maintained pipeline documentation.
Data Science Intern
Created models using advanced algorithms like CNNs to detect leaf diseases.
Explored data to find key patterns for training models.
Prepared and enhanced image datasets for better model training to improve dataset quality and balance.
Tested and fine-tuned models for accurate disease classification.
Adjusted settings to improve model performance and prevent overfitting.