Pravin Kumar

Business Development Executive

Bengaluru, Karnataka, India5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

4+ years of experience in data-driven solutions.
Expertise in automating dashboard metrics.
Proven track record in enhancing business strategies.

Stackforce AI infers this person is a Data Analytics professional with a focus on E-commerce and Service industries.

Contact

Skills

Core Skills

Business Intelligence (bi)Data Analytics

Other Skills

Data StrategiesDashboard MetricsCost Reduction AnalysisRoot Cause AnalysisMetrics AnalysisData-driven Decision MakingA/B TestingProduct AnalysisStatistical Data AnalysisAutomated DashboardsPredictive ModelsFraud DetectionKerasExtract, Transform, Load (ETL)Data Entry

About

Analytics professional with about 4+years of experience in solving business problems through data driven solutions. This involves analytical solutions, building key performance metrics, building derived metrics(useful insights) for end user from raw data, RCAs . Expertise in solving disintermediation problems with end to end ownership.Automating the process of adding new metrics to dashboard.

Experience

5 yrs 2 mos

Total Experience

3 yrs

Average Tenure

5 yrs 2 mos

Current Experience

Meesho

Senior Business Analyst

Jul 2025 – Present · 11 mos · Hybrid

Collaborated with cross-functional teams to optimize first-order discount strategies, enhancing activation and ROI.
Developed a cohort-based analytical model validated through A/B testing, leading to significant performance improvements.
Partnered with stakeholders to enhance push notification strategies, resulting in increased app engagement and GMV.

Data StrategiesDashboard MetricsCost Reduction AnalysisRoot Cause AnalysisBusiness Intelligence (BI)Metrics Analysis+2

Urban company

2 roles

Senior Data Analyst

Promoted

Jan 2024 – Present · 2 yrs 5 mos

Conducted A/B testing and root cause analysis to optimize business strategies, enhancing decision-making processes.
Developed automated dashboards and predictive models that improved reporting efficiency by 30%.
Implemented fraud detection mechanisms that reduced financial discrepancies by 25%.

Product AnalysisStatistical Data AnalysisA/B TestingRoot Cause AnalysisAutomated DashboardsPredictive Models+2