Business Analytics & Business Intelligence Professional Turning Data Into Better Decisions and Measurable ROI.
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SHUBH NAINANI
Business Intelligence Analyst
Phone:
+1 (415) 917-8501
Email: info@shubhnainani.com
Address:
San Francisco, CA, USA
Date of Birth:
September 20th, 2002
A Bit About Me
I am a Business Analytics and Business Intelligence professional with hands-on experience applying data to real business problems across operations, marketing, and strategy.
My background combines a strong foundation in business with practical analytical skills, allowing me to work comfortably between raw data and decision-makers. I focus on understanding how businesses operate, identifying performance gaps, and translating insights into actions that improve efficiency, clarity, and outcomes.
I have worked with SQL, Python, R, dashboards, and reporting systems to support forecasting, KPI tracking, and performance analysis. Across my roles, my work has consistently centered on accuracy, structure, and measurable impact rather than surface-level insights.
I am particularly interested in roles where analytics is used to guide decisions, optimize processes, and support long-term growth. I value clear communication, thoughtful analysis, and using data as a tool to enable better decisions across teams.
Work Experience
Credence Innovations
June 2025 – April 2026
Urbethh
December 2023 – Present
University of San Francisco
January 2023 - June 2024
Satguru Skoda Pvt. Ltd.
May 2024 – August 2024
San Francisco Small Business Development Center (SBDC)
January 2024 – May 2024
Designed and supported internal business intelligence systems to centralize scheduling, compliance, communication, and performance tracking. Built real-time dashboards that provided leadership with visibility into recruitment, training, and employee performance metrics. Contributed to website redesign and analytics-driven improvements that enhanced user clarity, reduced bounce rates, and improved engagement from applicants and partners.
Led end-to-end development of a consumer brand using customer research, competitive benchmarking, and performance analysis. Analyzed engagement, acquisition, and lifetime value metrics to guide marketing and growth decisions. Collaborated with technical teams to conceptualize an AI-driven recommendation experience aimed at improving conversion and customer satisfaction while maintaining operational efficiency.
This is a Job Description. Briefly describe your specific position, including details about important achievements and milestones. Make sure to include relevant skills and highlights, and don't forget to adjust the timeframe in the subtitle.
Developed and managed a centralized SQL database to track KPIs such as sales velocity, inventory turnover, and customer acquisition cost. Built predictive sales models using Python with approximately 90 percent accuracy, reducing inventory excess and improving planning efficiency. Created executive-ready dashboards and reports to support strategic decision-making.
Conducted market research and performance analysis to identify service gaps affecting small businesses and startups. Designed dashboards and reporting frameworks to evaluate engagement and outreach effectiveness. Supported data-backed initiatives that contributed to increased online engagement and improved resource allocation.
