Pranav Sonar

Business Development Executive

Bengaluru, Karnataka, India2 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led initiatives generating ₹6M in incremental revenue.
Spearheaded a team increasing card acquisitions from 80 to 450+.
Achieved 87% accuracy in predicting housing prices using ML.

Stackforce AI infers this person is a Business Analyst with expertise in Fintech and SaaS industries.

Contact

Skills

Core Skills

Business AnalyticsData VisualizationBusiness DevelopmentData EngineeringCustomer ExperienceSalesforce AdministrationData Science

Other Skills

AI toolsAdvanced ExcelAnalytical SkillsAnalytical SolutionsAnalyticsArtificial Intelligence (AI)Attention to DetailAutomationBigQueryBusiness InsightsBusiness IntelligenceBusiness ManagementBusiness RequirementsC (Programming Language)Classification and Regression Algorithms

About

Experienced Business Analyst with a dynamic and outcome-driven approach, adept at leading automation projects to streamline processes and achieve notable enhancements. Skilled in managing entire work processes from start to finish. Demonstrated capacity to deliver valuable insights and stimulate business expansion through analytics-driven decision-making.

Experience

Leap

2 roles

Senior Business Analyst

Promoted

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · On-site

Business Analyst

Jun 2024 – Oct 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

1. Created visibility into 20+ key metrics and 50+ sub-metrics across Marketing, Sales, Calling, ChatBot and Funnel Health (ToFU & BoFU) using dynamic dashboarding, driving better funnel analysis and performance tracking.
2. Developed NoSQL one-click metric dashboards for business stakeholders, reducing analytics dependency and ad-hoc requests by 90%.
3. Launched OC and IS churn step-up initiatives to mitigate MOP and AOP risks, resulting in 20–25 additional Visa conversions and generating ₹6M in incremental revenue.
4. Optimized BigQuery usage through scalable raw data modeling, reducing monthly query costs from ₹2L+ to ₹30K.
5. Led data migration from Zoho Analytics to Metabase with 100% accuracy, saving ₹2M annually and improving access control, and overall ease of use.
6.Utilized CleverTap, Mixpanel, and AI tools for user behavior analysis, segmentation, and personalized engagement, boosting funnel performance and campaign effectiveness.

Dynamic dashboardingNoSQLBigQueryCleverTapMixpanelAI tools+2

Rupeek

2 roles

Business Analyst

Jan 2024 – Jun 2024 · 5 mos

1. Spearheaded a remarkable increase in monthly card acquisitions from 80 to 450+, through business
intelligence surpassing targets and driving substantial business growth, Managed end-to-end offline
acquisition charter for Cards team.
2. Managed a 400+ member team, fostering collaboration and achieving collective success in offline acquisition,
rewards, and risk management.
3. Led the rewards program for 3000+ customers, ensuring precision, high satisfaction levels, and initiated
automation that eliminated errors completely, thus optimizing program effectiveness.
4. Revamped NPA work flow with efficient documentation and proactive risk management, leading to
substantial risk reduction. Coordinated seamlessly with diverse teams for NPA cases and auctions, ensuring
effective mitigation of financial risks.

Business Analyst Intern

Jun 2023 – Jan 2024 · 7 mos

1. Established a robust visibility framework for offline acquisition performance metrics, enabling real-time
tracking and strategic decision-making.
2. Executed dynamic Go-To-Market (GTM) experiments, delivering an impressive additional 8% Lead-To-
Transaction (LTT) for the organization.
3. Automated the source attribution operation, slashing team efforts by 60 minutes per day and enhancing
operational efficiency and process improvement.

Smartinternz

Salesforce Administrator

Apr 2022 – Jul 2022 · 3 mos · Remote

1.Earned 3 Superbadges in Security, Business Administration, Reports & Dashboards, demonstrating strong platform proficiency.
2.Completed 100+ hours of Salesforce training; gained hands-on expertise in Sales Cloud, Flows, Reports, & Data Management.

SalesforceReports & DashboardsSalesforce Administration

Ybi foundation

Machine Learning Intern

Dec 2021 – Jan 2022 · 1 mo · India

Implemented Machine Learning prediction module using Machine Learning Regression Algorithm and
Classification Algorithm.
Developed a predicting model using Random Forest Regression Algorithm to calculate the median value of the Boston Housing Dataset with 87% accuracy

Machine LearningRegression AlgorithmsData Science