ARUSHI NIGAM

In my professional experience, I have worked as a Data Analyst in various roles, where I have honed my skills in data analysis and visualization. At Mentored Minds, I successfully optimized SQL queries, leading to a 40% reduction in query time and a 25% increase in accuracy. Additionally, I designed interactive dashboards on Power BI, facilitating streamlined decision-making for executive leadership.

During my time as an Analyst Intern at Suvidha Foundation, I deployed natural language processing algorithms to analyze customer feedback, resulting in a 10% improvement in overall satisfaction ratings. I also developed machine learning models with a 95% accuracy rate for churn prediction, saving the company significant potential revenue loss.

As a Data Analyst Intern at Product Academy, I contributed to the team by creating efficient data extraction procedures using Hadoop, boosting data retrieval efficiency by 15%. Furthermore, I designed custom dashboards on Tableau, enabling senior management to analyze data 20% faster.

Currently pursuing a B.Tech in Computer Science and Engineering with a specialization in AI & ML from Vellore Institute of Technology, I have completed projects in nutrition analysis, speech technology, and diabetic retinopathy detection. My skillset encompasses Python, R, SQL, Power BI, Tableau, SAP, SPSS, Hadoop, and MongoDB, and I hold certifications in SAS Visual Analytics, AWS Cloud Practitioner Essentials, Machine Learning for Data Analysis, Google Data Analytics, and Applied Machine Learning in Python.