• Improved existing customer segmentation using k-means clustering and recommended an optimized sales capacity plan to a leading American hospitality services client, potentially increasing $250M in revenue over 5 years• Built sales forecasting model using ARIMA with 92% accuracy and delivered insights using 15+ Tableau dashboards to inform optimal resource allocation and marketing spends

Led and mentored a team of 4 analysts to develop analytics and reporting capabilities for marketing, sales, and product teams for Tata’s newest venture in B2B products and services• Collaborated with cross-functional leaders to define Key Performance Indicators (KPI) and developed key reporting and dashboard systems from the ground up using Tableau, SQL, and Snowflake to create visibility around acquisition, retention, churn, and product usage metricsDevised a lead scoring algorithm for 6.3 million SMBs using SQL and Python on demographics and buying propensity data (~1TB multidimensional data), resulting in 29% increase in conversion rate• Achieved a 17% decrease in Customer Acquisition Cost (CAC) by conducting A/B testing on landing pages, campaigns, and timing strategies, leading to optimized marketing efforts and improved campaign engagement• Analyzed customer clickstream data by using Google Analytics, Mixpanel and Tableau, increasing website engagement and product usage by 20-25%• Extracted data from 30+ sources and converted them into one unified source for reporting purposes using Extract Transform Load (ETL) and SQL• Developed ad-hoc reports, visualizations, and analyses to identify trends, patterns, and opportunities for process improvement and business growth

Led a team of 3 analysts to deliver support on analytics, business operations, and system implementation to India’s leading SaaS and Fin-Tech unicorn• Designed and presented dashboards to leadership using Tableau, MySQL, Salesforce, and Excel, and created self-serving reports for 400+ users across 8 verticals, resulting in a 17%-26% increase in productivity, revenue, and SLA• Developed a customer churn prediction model using logistic regression on Python with product usage and customer behavior data for 4k+ key customers, resulting in a 45% decrease in 3 quarters• Developed automated reporting scripts using Python and SQL, saving approximately 10 hours per week on manual reporting tasks• Designed, built, and maintained highly scalable data pipelines, ETL processes, and data integration workflows, resulting in accurate and timely data availability for analysis and reporting•Implemented and owned Salesforce CRM, consolidating legacy systems across 8 business units, streamlining processes, and achieving 35% reduction in man-hours over 6 months. Primary Business Point of Contact; defined the Product Vision and workflows for the sales operation’s lifecycle; gathered 250+ requirements for customization, integration, and data migration enabling delivery of 90+ new functionalities

• Founded an internet company, leading product development, go-to-market strategy, and social media marketing plan resulting in a successful launch and growth of the company providing printing services to university students and teachers.