ARUSHI NIGAM

I am a skilled Data Analyst with a strong background in data analysis and visualization. With experience at Mentored Minds, where I  optimized SQL queries, reduced query time by 40%, and created Power BI dashboards for executive leadership, enhancing decision-making efficiency. As an Analyst Intern at Suvidha Foundation, I deployed NLP algorithms for customer feedback analysis, increasing satisfaction ratings by 10%, At Product Academy, I improved data retrieval efficiency by 15% using Hadoop and decreased data analysis time by 20% through Tableau dashboards. I am Pursuing a B.Tech in CSE (AI & ML), and undertook projects in nutrition analysis, speech technology, and diabetic retinopathy detection. My diverse skillset includes Python, R, SQL, Power BI, Tableau, SAP, SPSS, Hadoop, and MongoDB, complemented by certifications in SAS Visual Analytics, AWS Cloud Practitioner Essentials, Machine Learning for Data Analysis, and Google Data Analysis.

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.