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
<p>Assisted in the implementation and optimization of data processing pipelines using Azure Data Factory (ADF) to facilitate efficient ETL processes.<br>
Collaborated with cross-functional teams to identify data requirements and translate business needs into ADF workflows.<br>
Conducted data validation and quality checks to ensure accuracy and reliability of processed data.<br>
Contributed to the documentation and maintenance of ADF pipelines, providing support for troubleshooting and enhancements.<br>
Contributed in real-time projects by setting up data processes in Azure Data Factory.<br>
Handled parameters.<br>
Performed incremental loading.<br>
Organized JSON data.<br>
Worked on client-specific conditions.<br>
Used Power BI for visualizing insights.<br>
Collaborated with teams to align data workflows with business needs.<br>
Ensured accuracy through validation.<br>
Maintained pipeline documentation.</p>
Data Science Intern
<p>Created models using advanced algorithms like CNNs to detect leaf diseases.<br>
Explored data to find key patterns for training models.<br>
Prepared and enhanced image datasets for better model training to improve dataset quality and balance.<br>
Tested and fine-tuned models for accurate disease classification.<br>
Adjusted settings to improve model performance and prevent overfitting.</p>