I'm a Tampa based Data Scientist, currently working and studying at University of South Florida helping build a report for the city of Tampa under Professors of USF.
In my free time, you can catch me reading Fictional Books, cooking Indian Food, or exploring beautiful city of Tampa and St. Petersburg.
I am a data scientist with a passion for exploring and finding insights from complex and diverse datasets. I have experience in using Python, SQL, R and Power BI to perform data analysis, visualization and machine learning tasks. I enjoy learning new skills and tools to enhance my data science capabilities. I also have a never give up attitude that helps me overcome challenges and deliver high-quality results.
One of the most valuable skills I acquired at USF was data mining. I learned how to extract, transform and analyze large and complex datasets using various tools and techniques. I also gained proficiency in R, a powerful programming language for statistical computing and graphics. Additionally, I studied advanced database management systems, such as SQL, and cloud-based solutions, and how to design, implement and optimize them for different applications and scenarios.
DIEMS provided me with a comprehensive education in various aspects of computer science, such as data structures, operating systems, data science, and cloud computing. I gained valuable skills and knowledge that prepared me for the challenges and opportunities in the field.
• Leveraged the advanced capabilities of Power BI to create interactive dashboards and reports that effectively convey complex data insights to stakeholders of Eversource Energy. Employed data collection and analysis techniques from a variety of sources to identify trends and patterns.
• Exhibited expertise in data cleaning and preprocessing techniques to ensure accuracy and consistency of data. Employed advanced data analysis tools to identify and correct data inconsistencies.
• Maintained data privacy and security by implementing measures such as data encryption and access control. Demonstrated expertise in data privacy and security best practices.
• Enhanced the efficiency of a “Storm Health Check” process by developing and automating it from scratch using Python libraries. This automation has resulted in a daily time-saving of approximately 10 minutes.
• Spearheaded the design, development, testing, and maintenance of data warehouses using cutting-edge ETL tools such as AbInitio and AWS Snowflake.
• Displayed expertise in designing and executing data models that are optimized for performance and scalability.
• Managed databases by creating and maintaining database schemas, optimizing database performance, and ensuring data security.
• Communicated effectively and collaborated with stakeholders, including business users, data analysts, and other members of the development team of Discover Financial Services. Translated complex technical concepts into clear and concise language.
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