May 2023 – Oct 2024 · 1 yr 5 mos · Chennai, Tamil Nadu, India · On-site

• Led a 7-member Corporate Strategy and Analytics team and co-managed MIS team to drive data-driven decision-making and strategic initiatives.
• Designed and launched advanced BI dashboards for financial KPIs, revenue forecasting, and competitor analysis, enhancing financial transparency and decision-making.
• Utilized tools like Power BI, SQL, Python, and Power Automate to deliver impactful analytics solutions and establish robust data governance practices.
• Streamlined over 80 MIS reporting processes, reducing turnaround time by 50% and improving cross-functional decision-making.
• Developed comprehensive dashboards and weekly executive summaries to optimize KPIs such as productivity, quality, and attrition, significantly enhancing operational performance.
• Achieved a 15% increase in profitability through advanced pricing strategies and actionable insights.
• Collaborated with cross-functional teams to implement strategic initiatives, achieving 20% cost savings and elevating organizational efficiency.

May 2021 – May 2023 · 2 yrs · India · On-site

• Delivered advanced analytics solutions for global CPG clients, driving a 15% revenue uplift through optimized pricing strategies and promotional effectiveness.
• Conducted multi-country analyses and developed Price Pack Architecture (PPA) strategies, identifying market opportunities and whitespace potential.
• Built statistical models for mix performance evaluation, promotional optimization, and pricing decisions, enabling data-driven strategies.
• Developed interactive dashboards using Power BI and Tableau, accelerating decision-making for stakeholders by visualizing complex data insights.
• Collaborated with cross-functional teams to align analytical solutions with business objectives, enhancing customer engagement and product performance.
• Executed market research and trend analysis, providing actionable recommendations to improve promotional tactics and drive sector strengths.
• Played a pivotal role in bridging technical and business teams, ensuring seamless execution of client deliverables and strategic initiatives.

May 2020 – Jul 2020 · 2 mos · Greater Bengaluru Area

• Conducted market research to enhance the disinfectant market, developing unique selling propositions (USPs) and pricing strategies, resulting in a 25% increase in the customer base.
• Led A/B testing for marketing campaigns, improving campaign effectiveness by 30% through data-driven optimizations.
• Utilized MoEngage to design and refine push notification strategies, achieving a 20% increase in click-through rates (CTR).
• Applied statistical analysis to forecast post-COVID-19 migration trends across 21 cities, providing actionable insights for strategic planning.

Mar 2018 – May 2018 · 2 mos · Bengaluru Area, India · On-site

• Developed and managed comprehensive reports and interactive dashboards, providing critical insights into sales performance, traffic trends, and inventory management for a global leader in the sports footwear and apparel industry.
• Leveraged advanced tools like R, Python, and SQL to conduct in-depth Exploratory Data Analysis (EDA), uncovering key business insights that improved strategic planning and operational efficiency.
• Conducted correlation analysis and hypothesis testing, supporting data-driven decision-making and enhancing client deliverables.
• Enabled a 15% improvement in operational efficiency through actionable insights derived from data analysis.

Aug 2016 – Jan 2018 · 1 yr 5 mos · Chennai Area, India

• Designed and executed customer targeting strategies, driving a 10% increase in customer engagement through data-driven insights.
• Developed heuristic algorithms to optimize promotional campaign timing, location, and target audience, resulting in a 15% improvement in campaign effectiveness.
• Delivered actionable business recommendations based on advanced analytics, improving operational efficiency and supporting strategic decisions.
• Led the migration of interfaces from WMB8 to IIB10, automating the deployment process and reducing deployment time by 40% while decreasing errors by 20%.
• Oversaw end-to-end production release management, ensuring timely and accurate deployment of new features and updates.