Mar 2025 – Jun 2025 · 3 mos · Arizona, United States · Remote

• 1. Analyzed over 90,000 consumer reviews using Python, Pandas, and NLTK, performing sentiment analysis and exploratory data
• analysis (EDA) to uncover trends, leading to a 7% increase in customer satisfaction ratings.
• 2. Leveraged Gemini AI to generate consumer insights, optimizing marketing strategies and improving brand perception by 22%.
• 3. Developed 35+ Power BI and Excel dashboards to visualize sentiment trends and competitive analysis, enabling data-driven decisions.
• 4. Identified product issues using AI-driven text analysis, leading to enhancements and improved market positioning.

Nov 2023 – May 2025 · 1 yr 6 mos · Tempe, Arizona, United States · On-site

• 1. Led the analysis of recruitment and retention trends using SQL and Python, uncovering key patterns that helped implement strategies to reduce turnover by 15%. This involved deep dives into employee data to identify and address factors influencing staff retention.
• 2. Developed dynamic HR dashboards using Tableau and Excel, integrating advanced functionalities such as VLOOKUP and pivot tables. These dashboards now enable real-time monitoring of critical HR metrics like turnover and recruitment, which has increased the efficiency of our reporting processes by 30% and improved decision-making speed by 20%.
• 3. Enhanced the accuracy and functionality of our Workday HRIS system by resolving over 100 data integrity issues and conducting comprehensive compliance audits, which effectively doubled our data accuracy and reduced manual tasks by 25%.
• 4. Collaborated with HR and business leaders to implement significant enhancements in our Workday system. This project focused on improving user experience and operational workflows, which enhanced overall efficiency by 20%.
• 5. Created customized ad-hoc reports and interactive visualizations using Tableau to enhance transparency across departments. This initiative enabled more informed decision-making by providing clear, actionable insights into workforce analytics.
• 6. Automated key HR processes within the Workday system to enhance compliance and efficiency. This strategic automation not only secured data accuracy but also minimized manual tasks by 25%, allowing the team to focus on higher-value strategic initiatives.

Jul 2022 – Jun 2023 · 11 mos · Mumbai, Maharashtra, India · On-site

• 1. Spearheaded a detailed analysis of over 100,000 JioMeet users using Python and Pandas. This allowed us to uncover critical usage trends. Our findings directly contributed to implementing strategic changes. These improvements led to a notable 15% increase in user retention.
• 2. Utilized SQL for data extraction and Python libraries such as Seaborn and Matplotlib for data visualization. My analysis focused on understanding behavior patterns across different user demographics. The insights gained informed feature enhancements, successfully boosting app adoption by 20%.
• 3. Employed Scikit-learn to developed models to predict future app usage patterns. This predictive capability enabled proactive resource allocation. As a result, we reduced server downtime by 25%, ensuring a more reliable user experience.
• 4. Designed and maintained comprehensive dashboards in Power BI. These dashboards tracked critical metrics such as user growth and meeting durations. The actionable insights provided through these dashboards helped stakeholders make informed decisions to enhance platform engagement.

May 2021 – Aug 2021 · 3 mos · Pune, Maharashtra, India · On-site

• 1. Assisted in collecting, cleaning, and analyzing data from datasets to identify trends and insights, contributing to business decisions.
• 2. Supported the development of dashboards and reports using Power BI to track KPIs and visualize portfolio performance, enabling
• stakeholders to effectively monitor progress.
• 3. Collaborated with the team to design data models and optimize reporting processes, ensuring accuracy and improving efficiency.