Mar 2025 – Present · 1 yr 1 mo · Mumbai, Maharashtra, India · Hybrid

Aug 2024 – Mar 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

Jul 2023 – Aug 2024 · 1 yr 1 mo · Mumbai, Maharashtra, India · Hybrid

• Leading the definition of Orders per Day (OPD) and Gross Merchandise Volume (GMV), establishing clear OKRs and trackable metrics to drive performance improvements. Metrics included GMV and OPD growth, conversion rates, and customer acquisition costs.
• Leading the sales team (36 people) and executed hypothesis-driven business strategies for improving OPD and Ads revenue, resulting in substantial growth across user cohorts and merchants. Key metrics included user engagement, merchant adoption rates and partnerships, and ad revenue expansion (click based and non-click based).
• Responsible for improving PnL by performing root-cause analysis (RCA), A/B testing by formulating strategies on improving unit economics and highlighting deviating areas to drive growth in Mumbai and Goa.

Jan 2023 – Jul 2023 · 6 mos

• Design and implement sales compensation structures and incentive plans to align pay and performance with corporate Go-to-Market strategic objectives. (performed goal setting, sales crediting, eligibility, and payout calculations)
• Designed comprehensive performance dashboards for 2000+ sales reps using the business intelligence tool: Tableau and collaborated with brand leaders to identify drug KPIs from sales and marketing viewpoints.
• Facilitated migration of operational workflows from Oracle SQL to Alteryx, reducing operational turn-around time by 6 days/month. Created training and operational workflow decks, and 10+ infographics specifically for catering to sign-up issues, password resets, and account creation queues.
• Collaborated and designed a Call Planning process for 1500+ representatives for 2 different salesforces (JCP) which helped 87% of the field force to improve their call planning efficiency.

May 2021 – Dec 2022 · 1 yr 7 mos

Jan 2021 – Mar 2021 · 2 mos · Bengaluru, Karnataka, India

• Analysed customer data insights and developed reports in Tableau and Excel, to suggest strategies to reduce churn rate, enhancing sign-ups by 20%.
• Researched and proposed strategies to maximize content performance, increasing organic growth by 3X.

May 2019 – Jun 2019 · 1 mo · Mumbai, Maharashtra, India

• It dealt with analysis of various financing models with respect to parking applications and deriving of the most suitable model. Along with this I was also assigned few streets in few wards for data interpretation through visual as well as depiction from graphical data about the places.
• This internship helped me in improving my presentation skills, have different perspectives, analyse huge data, be confident, lead, strategise in terms of prioritising work and a few tools like MS EXCEL, GIS, AUTOCAD, MS WORD AND MS POWERPOINT.

May 2018 – Jul 2018 · 2 mos

• Involved in comprehensive study of Transportation in PMC and PCMC area.