Uma Sravanti Kala

Senior Analyst

Sears Holdings India•  July 2017 - January 2022

• Optimized inventory levels by determining ideal quantity and timing for replenishment utilizing SAP MM, resulting in a 15% reduction in inventory carrying costs. • Analyzed KPIs to improve inventory planning, resulting in increased cash flow and profit margins for businesses with high inventory turnover. • Collaborated with cross-functional teams and US stakeholders on multiple projects and improved production process efficiency by 16% through 100 hours per month reduction of work redundancy. • Analyzed stock levels and sales forecasts in distribution centers and stores employing 50,000+ MySQL records, and leveraged Google Cloud Platform for report generation, improving decision-making. • Co-led team of 21 associates in Data and Replenishment analysis and produced daily, weekly, and monthly reports with interactive dashboards, resulting in enhanced insights and outcomes.

Vendor Management Associate

Amazon.com•  November 2015 - July 2017

• Developed and maintained a database of vendor accounts and negotiated product pricing to increase revenue by 35%. • Tracked and monitored vendor performance metrics, such as In-Stock Rate and Order Fill Rate, and provided feedback to vendors with Amazon Retail Analytics • Mentored, trained, and led a batch of 15 members to achieve their targets and improve their performance and overall productivity by 40%. • Generated daily reports as required with Tableau and created visualizations to help track key metrics. • Reconciled inventory and sales data to help vendors understand and maintain current inventory, demand forecast, and weekly, monthly, and yearly sales by creating a process that identified the root causes of out-of-stock issues and communicated to vendors.

Analyst

Google•  July 2013 - November 2015

• Evaluated daily customer movement trends of 100K+ users via leveraging MySQL and crafted data-driven business strategies, leading to a 25% improvement in decision-making. • Optimized Excel Dashboard to assess spam/bogus listings, enabled comparative evaluation of quality and quantity of over 2500 business types. • Delivered monthly & weekly review decks demonstrating key project highlights/lowlights to executive stakeholders, reducing time-to-resolution of process gaps by 30%.

Northeastern University, Boston

Data Science, MS•  January 2022 - Present

• Developed a strong foundation in statistical analysis, data visualization, and programming languages like SQL, Python and R. Acquired hands-on experience with real-world data sets, I have gained the technical skills and analytical methods necessary to excel as a data analyst through course work and group projects. • Data mining, machine learning, and database management, provided me with a comprehensive understanding of data analytics. Gained experience in working with real world data for a transportation industry, and have developed a knack for uncovering patterns and trends that lead to actionable insights. • Improved my communication and collaboration skills through group projects and presentations. Understanding the importance of clearly communicating complex data to non-technical stakeholders, and dedicated to ensuring that my findings are easily understandable and actionable.