Motivated Data Analyst Intern with hands-on experience in cleaning, transforming, and validating large datasets to improve accuracy and usability. Skilled in Excel, Python, MySQL, and data visualization, with a strong un…
Motivated Data Analyst Intern with hands-on experience in cleaning, transforming, and validating large datasets to improve accuracy and usability. Skilled in Excel, Python, MySQL, and data visualization, with a strong understanding of analytical thinking and problem-solving. Experienced in identifying patterns, preparing reports, and supporting data-driven decision-making during my internship. Eager to apply analytical skills, learn advanced tools, and contribute to impactful insights in a professional data analytics environment.
Cleaned, transformed, and validated raw datasets to improve data quality and consistency for further analysis., Performed EDA (Exploitary Data Analysis) to identify trends, patterns, and anomalies in datasets., Designed and built interactive dashboards in Power BI to visualize KPIs and performance metrics., Utilized MySQL and Excel for data extraction and preprocessing., Delivered structured analytical reports summarizing insights, key findings, and recommendations., Worked collaboratively in a remote environment and coordinating tasks. Documented workflows, analysis steps, and dashboard processes for reusability.
Cleaned, transformed, and validated raw datasets to improve data quality and consistency for further analysis.
Performed EDA (Expliotary Data Analysis) to identify trends, patterns, and anomalies in datasets.
Designed and built interactive dashboards in Power BI to visualize KPIs and performance metrics.
Utilized MySQL and Excel for data extraction and preprocessing.
Delivered structured analytical reports summarizing insights, key findings, and recommendations.
Worked collaboratively in a remote environment and coordinating tasks.
Documented workflows, analysis steps, and dashboard processes for reusability.
Developed an AI-driven system to detect anomalies in network traffic for enhanced cyber security. Implemented MLtechniques (AdaBoost) to identify unusual patterns and reduce potential threats, obtaining high performance metricscompared to traditional methods in real time.
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