Akash Vedpathak

Business Development Executive

Bengaluru, Karnataka, India4 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Expert in data-driven strategies for revenue growth.
Proven track record in enhancing operational efficiency.
Skilled in cross-functional collaboration and project management.

Stackforce AI infers this person is a data-driven growth strategist in the B2C sector.

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Skills

Core Skills

Strategic PlanningProject ManagementData AnalysisData Visualization

Other Skills

SQLMatplotlibPythonStatistical AnalysisStatistical ModelingP&L ManagementBusiness Analysis Planning & MonitoringCritical ThinkingWorkable SolutionsProblem SolvingExtract, Transform, Load (ETL)Data ScienceData QualityData ExtractionNumPy

About

As Manager - Revenue & Growth at Swiggy, I focus on leveraging insights to shape data-driven strategies that drive business performance. My role involves collaborating with teams across revenue, analytics, and operations to optimize key processes and achieve impactful results. I hold an MBA in Marketing from MIT World Peace University and a BSc in Computer Science from Dr. D.Y. Patil Pratishthan's College, Pune. With a strong foundation in strategic planning, project management, and P&L management, I aim to contribute to organizational success by delivering actionable insights and supporting informed decision-making.

Experience

4 yrs 8 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 4 mos

Current Experience

Swiggy

2 roles

Manager - Revenue & Growth

Promoted

Nov 2025 – Present · 6 mos · Bangalore, India

Strategic PlanningProject Management

Business Analyst

Jan 2024 – Nov 2025 · 1 yr 10 mos · Bangalore, India

SQLData Analysis

Zomato

Business Analyst

Aug 2022 – Jan 2024 · 1 yr 5 mos · Pune District, Maharashtra, India · Hybrid

Collaborated with cross-functional teams and designed more than 20 real-time dashboards using SQL queries tracking key performance indicators, enhancing operational efficiency, and enabling proactive decision-making
Used Python libraries such as NumPy, Pandas, Matplotlib, etc. to perform statistical analysis, uncover patterns, and generate actionable recommendations
Worked with the Product team to analyze traffic and click-through rates of banners and rails across the app, resulting in increase in transactions via certain banners
Worked with the Ads team to identify avenues on the app that could be monetized using information like location, restaurant supply in that area, and user density, along with Search keywords & CTR data, resulting in an increase in Ads revenue

MatplotlibData Visualization