Lavanya Joshi

Business Analyst with over five years of experience in sales, marketing, and entrepreneurship, leveraging expertise in CRM software, project management,

and digital marketing to drive strategic growth. Skilled in developing data-driven strategies and enhancing customer relationships, consistently achieving

ambitious targets. Passionate about leading diverse teams and implementing innovative initiatives to foster community and business success.

I have successfully led cross-platform marketing campaigns that increased brand awareness by over 45% and contributed to significant revenue growth. At AT&T, I consistently ranked among the top-performing sales specialists, driving a 15% monthly revenue increase through upselling strategies. As a Co-Founder & Marketing Lead at ReLyfe, I spearheaded initiatives that grew active user engagement by 40%, designed user-friendly interfaces, and implemented customer feedback to improve retention.

Beyond marketing, I am an analytical problem-solver, skilled in SQL, Python, and Power BI, using data to inform high-impact business decisions. I thrive in fast-paced, innovative environments, collaborating with AI-driven teams to create content that simplifies complex concepts—leading to an industry-leading 20% increase in engagement.

I am graduating this winter (December 2025) from San Jose State University with a Bachelor of Science in Management Information Systems, specializing in data analytics, business strategy, and IT project management. My coursework has given me hands-on experience in systems analysis, database management, and market research, preparing me to bridge the gap between technology and business solutions.

Throughout my academic journey, I have worked on several innovative projects, including:

SpendWise AI: Developed an AI-driven personal finance assistant that tracks expenses, predicts spending habits, and offers real-time budgeting tips.

 ShopSmart Dashboard:  Designed an interactive dashboard using Power BI and SQL to help small business owners analyze customer behavior and optimize inventory.

 Mental Health Engagement Model:  Created a predictive model that identifies mental health trends based on social media sentiment analysis.