PRATEEK SARAOGI

Business Development Executive

Bengaluru, Karnataka, India8 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

8+ years of experience in analytics and data strategy.
Led high-performing teams to drive business growth.
Expert in optimizing ad spends and enhancing ROI.

Stackforce AI infers this person is a data-driven analytics professional specializing in E-commerce and Fintech sectors.

Contact

Skills

Core Skills

Data StrategiesTeam ManagementProblem SolvingSql

Other Skills

PythonSAS ProgrammingStatistical ModelingAnalyticsCross-functional Team LeadershipProduct AnalyticsStatistical Data AnalysisData ScienceBusiness AnalyticsA/B TestingCustomer InsightInsight GenerationCommunicationData-driven Decision MakingStakeholder Management

About

Results-driven analytics professional with 8+ years of experience in delivering data-backed insights to solve business problems, primarily in the e-commerce and banking sectors. Proven track record in building and managing high-performing teams, building long term data strategies with business goals, and driving growth through data-informed decision-making coupled with technical expertise in SQL, Python, SAS , BI tools of Tableau and superset . Have led teams of 6 - 10 analysts across different 0 to 1 orgs of Monetization and Content Commerce in Meesho to shape the data strategy ,initiatives to improve data discoverability ,data visibility ,development of self serve capability and levers leading to cost efficiency. Drove sponsored ads revenue by different business initiatives thus improving demand and supply parameters of seller's acquisition ,sales enablement ,ROI ,variety and quality of business across categories . In the Content Commerce domain, I have led data-driven initiatives across the end to end user lifecycle — from acquisition and activation to retention, habit formation, power-user cultivation, and churn reduction. By combining user segmentation, persona-based analysis, and recommendation strategies, I’ve helped scale growth, enhance engagement, and unlock long-term business impact. Prior to Meesho , have been associated with Axis Bank as Manager in Data science team driving the credit card profitability of retail customers and analytics for the sales RM channel of OCC.

Experience

8 yrs 9 mos

Total Experience

4 yrs 4 mos

Average Tenure

4 yrs 9 mos

Current Experience

Meesho

2 roles

Lead Business and Product Analyst

Promoted

Jul 2023 – Present · 2 yrs 10 mos · On-site

Led a 10-member analytics team focused on content commerce, including affiliate marketing, in-app video and live commerce initiatives.
Change Management and Organisation strategy :- Driven the data strategy for Content commerce and Sponsored Ads team to being an insight driven environment from a data driven environment by creation of central data pipelines leading to cost efficiency improvement of around 60%, development and adoption of self-serve analytics across cross functional teams leading in increase in productivity and quality of work by around 30%.
Built MCC business strategy by optimizing the growth in user's(creator) journey which involved growth in end to end points of user's journey in driving acquisition, adoption and developing activation and habit formation for content creators, incentive programs for early-stage creators and power user formation and creator churn modelling.
Led the strategy for development of different assurance products resulting in around significant proportion of the entire Sponsored Ads Budget and Ads investment by merchants (sellers).
Led the entire Ads revenue allocation strategy for monthly and yearly sales driving optimized ROI and incremental revenue on the app.
Optimized and Automated various operational and manual processes freeing up of 20% of analyst’s bandwidth .
Driving the sales strategy of Managed Ads programs by developing a lead-list of sellers for calling (acquisition and deployment), prioritization of sellers, sales pitch strategical dashboard and performance evaluation for Key Account Managers .
Driving A/B Experimentation of key incentives, credits initiatives and on app-products for users (creators) and merchants .

Data StrategiesTeam Management

Senior Business Analyst

Jul 2021 – Jun 2023 · 1 yr 11 mos · On-site

As Senior analyst in sponsored ads org in Meesho ,drove initiatives across demand and supply to optimize the ads spends with ROI and mentored junior analysts to scale in a new role.
Budget Recommendation:- Developed Budget recommendation for users (sellers) on the panel to optimize the ads spends and sellers propensity to allocate funds on different products resulting an increase in NSM by 5%.
Development of a structure to compute Base CPC for different categories based on demand and supply parameters to optimize for sellers' ROI and investment.
Creation of a propensity model to identify the features leading to an increase in participation of different products on ads campaign and thus driving adoption and resulting in increase in ads investment.
Strategized and designed A/B experiments for multiple credit programs to define incrementality of investment and drive seller acquisition, retention and boosting engagement.
Development of prediction of Weekly spends limit of various sellers to reduce under-recovery and boost net spends .

Problem SolvingPython

Axis bank

Manager,Business Analyst

Jul 2017 – Jul 2021 · 4 yrs · Bengaluru Area, India · On-site

1. Corporate Customer Profitability Score
Development of Profit Score for corporate customers factoring in the risk factors based on parameters of revenue, cost, fees for fund and non-fund based products.
2. Credit card profitability
Factoring in various revenue, cost, loss parameters to develop credit card profit score for retail customers.Risk adjusted metrics for various card variants were devised based on NCL and expected credit cost.
3. Customer Contactability process
Charting the loopholes in computation of customers contactability based on dialer and CRM system and its regularization as a process for utilization as a raw metric in incentive computation.
4.Lead funelling for Retail Assets and Retail Liabilities
Building a dashboard depicting journey of leads from inception to fulfilment as to track leakage of credit allocation for
the products sold to the customers by incorporating the data from different source systems.
5. Complete Reporting Dashboard
Developed and automated a comprehensive dashboard in tableau depicting all of the business parameters(Retail Liablities ,Cards,IPG ,Retail Assets,Balance growth) related to all the segments of OCC channel with detailed productivity points for each level of leadership hierarchy.
6. KRA Performance Enablers
Development of the KRA structure for RMs and tracker to account employee performance throughout the year. Managing data from different source systems with enablers on an automated basis for the senior leadership team played a key role.
7.Campaigns Development for calling on balance growth
Basis on customer segmentation ,geography and different portfolio parameters developed a calling strategy for RMs to call up specific customers.
8.Productivity Analysis to formulate KRA budgets
Productivity of various resources based on vintage, geographical location, customer segmentation on CASA accounts and cards acquisition, balance buildup, cross sell and using it as a parameter in budgeting KRA for resources.