A motivated and detail-oriented professional with hands-on experience in data analysis, machine learning, and data visualization gained through internships. Proficient in Python, SQL, and Power BI, with a strong ability …
A motivated and detail-oriented professional with hands-on experience in data analysis, machine learning, and data visualization gained through internships. Proficient in Python, SQL, and Power BI, with a strong ability to clean, analyze, and visualize data to derive actionable insights. Eager to contribute to organizational success by leveraging technical skills and passion for data-driven decision-making.
Resolved customer complaints efficiently, ensuring high customer satisfaction through effective problem-solving and communication. Developed strong interpersonal and multitasking skills while managing customer queries and maintaining product knowledge.
Resolved customer complaints efficiently, ensuring high customer satisfaction through effective problem-solving and communication.
Developed strong interpersonal and multitasking skills while managing customer queries and maintaining product knowledge.
Cleaned and organized large datasets, improving data quality and enabling more accurate analysis.
Applied supervised and unsupervised learning techniques to build predictive models.
Developed SQL queries to extract and manipulate data.
Gained hands-on experience with NoSQL databases like MongoDB for managing unstructured data.
Cleaned and transformed raw data, handling missing values, duplicates, and inconsistencies.
Created interactive dashboards in Power BI to visualize key metrics, providing actionable insights.
Preprocessed and cleaned data for machine learning models, and improving model accuracy.
Implemented basic machine learning algorithms (e.g., linear regression, decision trees) to build predictive models.
Familiarized with Jupyter Notebooks for interactive coding and data analysis.
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