PRATIKSHA NARASIMHA

• Led cross-functional teams to develop and implement a new sales reporting and forecasting system that improved accuracy and reduced turnaround time by 25%, resulting in better decision-making and increased revenue.
• Conducted in-depth analysis of sales performance data and identified areas of improvement in the sales process, resulting in a 15% increase in sales productivity and a 10% increase in customer satisfaction.
• Managed a team of 5 data analysts and created and delivered sales performance dashboards and reports that provided actionable insights and guided CXOs.
• Resolved problems, improved operations and provided guidance to the team to define and implement best practices for data collection and reporting, resulting in more accurate and timely reporting and a 20% reduction in errors.
• Created a new Go-To-Market strategy for penetrating tier II and tier III cities resulting in a 1.2x week-on-week increase in ARPU.
• Implemented a sales strategy for driving digital sales through changes in the incentive program and designed new pricing for FY 2023-24 digital products based on a value-based pricing model.
• Identified market trends to optimize lead allocation and pre-sales tagging for better conversion of the lead funnel according to customer needs.
• Conducted marketing campaign analysis by comparing the customer acquisition cost of leads generated through different channels, to assess profitability across different campaigns.
• Acted as a subject matter expert (SME) for Marketing data analysis through collaboration by providing insights on lead routing, campaign initiatives, and digital engagement targeting.

• Utilized advanced analytics to optimize assortment and improve time-to-market for an FMCG company, resulting in a 15% increase in revenue and a 25% reduction in product launch time
• Developed data-driven growth strategies for a leading European chemical manufacturer by analyzing industry and consumer trends in circular economy, and leveraging analytics to identify potential new markets and customer segments, resulting in $10M in additional revenue
• Utilized advanced analytics to identify and select the best IIoT technology solution for a manufacturing client, collaborating with cross-functional teams to translate business goals and customer needs into objective scoring methodology, resulting in a 30% reduction in maintenance costs
• Created marketing content for pre-sales discussions with clients in various industries, identifying pain points and designing analytics solutions to address their specific business needs, resulting in a 40% increase in new business revenue
• Streamlined reporting and progress tracking using Power BI, resulting in a 24-hour reduction in weekly reporting time and improved report quality.

• Proposed the market entry strategy for the two-wheeler by applying regression analysis,recommended high selling specifications based on sales and consumer trends
• Estimated 9% decrease in the operation cost of commercial vehicles through the adoption of IoT and suggested ways for increasing after-sales revenue through connected vehicles.

• Supply chain planning with cross functional teams to deliver products as per customer’s requirement through production, material, inventory and capacity planning.

GPA: 3.05/4.00

GPA: 9.42/10.00