Pravin Kumar

Data Analyst

Urban Company

08.2021 - Current

Data-Driven Quality Enhancement: Implemented active learning to identify errors and optimize feedback tagging costs, effectively enhancing data quality
Mitigated data skewness through keyword-driven data augmentation
Cross-Functional Collaboration: Led cross-functional collaboration with front-end developers to design a user-friendly dashboard UI
The dashboard accommodates 400 key performance indicators, serving as a pivotal tool for stakeholders
Efficiency Enhancement: Improved dashboard efficiency through MongoDB integration, resulting in swift data retrieval and automated addition of new metrics
This optimization reduced computational workload by 35% and eliminated manual efforts
Automation of A/B Experiment Analysis: Developed a user-friendly dashboard to automate the analysis of A/B experiment outcomes
Integrated key metrics from test and control groups, reducing the time required to conclude results to just one day after experiment completion
Disintermediation Reduction: Built a classification model to identify partner disintermediation with customers, reducing disintermediation by 14%
Increased cross-sales and repeat business by 15%
Refund Analysis, Budgeting, and Cost Reduction: Developed a Power BI dashboard to perform root cause analysis (RCA) for uncovering refund triggers and conducting time series analysis
This facilitated accurate refund predictions, enabling proactive budgeting and mitigation efforts
As a result, the dashboard empowered stakeholders to reduce monthly refund costs by 10 lakhs
Inventory Management: Contributed to adoption improvement and cost-effective inventory management by predicting stockouts and losses.

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