Pooja Eega Email & Phone Number

Walldorf, Bw, De

🤖 Modern Experience & Product Insights (March 2023 - February 2024):Contributed to enhancements for Joule, a chatbot in SAP S/4HANA Cloud, leveraging GPT4. Collaborated with SAP consultants, product managers, and customers to ideate new use cases for SAP Build Process Automation (SBPA). Assisted in managing integration between SAP S/4HANA Cloud and SBPA, refining user personas, UX mockups, and journeys. Gathered customer feedback to enhance user experience and identify automation opportunities. Analyzed SBPA usage data for insights into success metrics and trends.⚙️ Innovation Frontrunner Team (June 2022 - March 2023):Conducted market research to compare competing ERP systems, creating a comprehensive competitive analysis and POV document. Ensured seamless onboarding for customers by testing and resolving scope-related issues. Analyzed SBPA bot usage trends to prioritize marketing and promotional efforts and identify bots for potential deprecation. Improved business-user comprehension and usability by updating SBPA Bot Store Documentation. Worked to stabilize UI-based automations within SBPA.

Walldorf, Bw, De

Part of the SAP Next Talent Rotation Program June 2021 Cohort.🛒 Rotation #2 - S/4HANA Consumer Industries Cloud (January 2022 - June 2022):Collaborated with a team of data scientists and machine learning engineers to create a cashier less checkout prototype. Implemented computer vision techniques for real-time product detection and tracking, leveraging statistical modeling and machine learning research to enhance accuracy and efficiency. Conducted testing of alternative models for SAP's Unified Demand Forecasting, optimizing demand prediction based on historical sales data, market trends, and seasonality.☁️ Rotation #1 - GCS Multi Cloud Technology Office (July 2021 - January 2022):Developed an automated dashboard to visualize key performance indicators (KPIs) for cloud platforms and SAP lines of businesses, facilitating efficient monitoring and cost analysis. Utilized Python for data analysis to identify trends in storage instance creation on Azure Storage, optimizing resource allocation based on usage patterns. Analyzed carbon emissions from data centers, identifying emission sources, patterns based on time of day, and other factors for improved sustainability management.

Cambridge, Ma, Us

Developed a widget for Akamai's mPulse product which visualizes the distribution of rage clicks relative to webpage load times. Performed statistical analysis in Julia to dissect user frustration metrics and behavior on the internet, enhancing understanding of user experience dynamics. Explored correlations between rage metrics (such as rage clicks) and key web page performance indicators (load times, visual and interactive timers). Worked on developing a machine learning model to predict user conversion flow based on web page resources and user behavior.

Portland, Or, Us

Collaborated with a diverse team of data scientists, agricultural experts, and aid workers to assess the risk of Fall Armyworm (FAW) in Sub-Saharan Africa. Conducted comprehensive research and feature selection to pinpoint key factors driving FAW incidence and spread. Employed machine learning algorithms to forecast FAW spread in Ghana and developed a clustering-based model to categorize locations based on FAW risk levels.

Quantified the impact of Lifeline Express Train visits to China (Sanmenxia and Zhanjiang), where free oculoplastic surgeries were provided to underserved communities. Conducted retrospective analyses on patient health outcomes using statistical methods such as t-tests, chi-square tests, and regressions to evaluate treatment effectiveness. Employed the Quality-Adjusted Life Years (QALY) metric to assess the cost-effectiveness of the program and guide future priorities.

Washington, District Of Columbia, Us

🌱 Feed the Future (January 2019 - May 2019):Assessed factors of economic change and opportunities for growth in Sub-Saharan Africa. Researched and wrote reports on the impact of private sector engagement, agribusiness, inclusive market systems development, and trade on Sub-Saharan African economies. Identified potential private sector partners to aid Feed the Future Development efforts. 💡 Global Development Lab (September 2018 - January 2019)Conducted data analysis and research to assess USAID programs and provide recommendations. Performed statistical tests (t-tests, regressions, correlation tests) to gauge the impact of USAID programs in Sub-Saharan Africa. Recommended strategies and tactics to promote economic growth in SSA.

Studied how adaptive equity-oriented pedagogies impact students in higher education. Performed quantitative data and qualitative data analyses of weekly student assessments and feedback forms on STATA. Created data visualizations on Tableau to compare student engagement and retention in control and treatment settings.

Fashion Design

Bachelor'S Degree, Data Science And Economics