Pranav Vishwakarma

• As an Analytics Lead with almost six years of experience now working in the Media and Entertainment industry, I excel in leveraging data-driven insights to inform strategic decisions, optimize content performance, and drive business growth. My role involves overseeing a team of analysts, collaborating with cross-functional teams, and implementing advanced analytics solutions to maximize the impact of data on key business objectives.
• Some Key Responsibilities that I'm handling :

- Audience Segmentation and Targeting

- Content Performance Optimization

- End to end Events Designing to Track User Behaviour

- Cross-Functional Collaboration

- Advanced Analytics Implementation

- Reporting and Visualization

- Project Management

- Client Handling

- Team Management

• Tools and Languages : SQL , Clevertap , Kibana , Google Sheets , Excel , Tableau , Google Analytics , Amplitude , Few AWS Services , Python

• Core Team Member providing Business Insights and Empowering Supply, Operation and Finance Heads to take Data Driven Decisions
• Created Dynamic and Insightful Dashboards to enhance organizational visibility and efficient decision making
• Worked simultaneously with different teams and Business Stakeholders translating business needs into actionable insights
• Drove DSRNs and Churn Prevention of Asset Owners and Business Partners for Entire 13 Hub Cities via Automated Trackers , Churn Bucketing and Collaboration with Ground and Central Teams.
• Pricing Control- Analyzing Occupancy Trends, Avg Room Rate , REVPAR , Walkin Performance and accordingly setting up best price for properties to nurture Revenue , Occupancy and REVPAR
• MoM and Dod Reports and Performance Analysis - Created MoM Performance Reports for examining Performance of Supply , Operations and Transformation Verticals , Reviewing them with Heads to Identify Performers and Non Performers and planning accordingly for upcoming months
• Created a CID ( Check in Denial ) Predictor with ~ 70% accuracy . Independent variables such as Prepaid , Low ARR , Past CID % etc were weighted to predict High Alert CID Cases with the aim of Improving Customer Experience.

• Worked as a Data Analyst with a focus on the education industry, bringing 2 years of experience in harnessing data to drive informed decision-making and improve educational outcomes using Data Analysis , Python , SQL , Excel , Google Sheets , Tableau
• Demonstrated expertise in identifying trends, patterns, and anomalies to guide strategic business decisions and elevate revenue generation