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.
<p>Resolved customer complaints efficiently, ensuring high customer satisfaction through effective problem-solving and communication.<br>
Developed strong interpersonal and multitasking skills while managing customer queries and maintaining product knowledge.</p>
<p>Cleaned and organized large datasets, improving data quality and enabling more accurate analysis.<br>
Applied supervised and unsupervised learning techniques to build predictive models.<br>
Developed SQL queries to extract and manipulate data.<br>
Gained hands-on experience with NoSQL databases like MongoDB for managing unstructured data.</p>
<p>Cleaned and transformed raw data, handling missing values, duplicates, and inconsistencies.<br>
Created interactive dashboards in Power BI to visualize key metrics, providing actionable insights.</p>
<p>Preprocessed and cleaned data for machine learning models, and improving model accuracy.<br>
Implemented basic machine learning algorithms (e.g., linear regression, decision trees) to build predictive models.<br>
Familiarized with Jupyter Notebooks for interactive coding and data analysis.</p>
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