Devanshi Pandya Email & Phone Number

Brøndbyvester, Capital Region, Dk

• Implemented an automated reporting system, reducing report generation time by 40%, eliminating manual processes, and significantly improving operational efficiency and accuracy.• Generated comprehensive reports and visual presentations for stakeholders, effectively translating complex datasets and communicating monthly progress and key metrics using Tableau and Looker.• Established the data and reporting infrastructure from the ground up using Tableau,SQL and Excel, providing real-time insights into product performance, marketing funnels, and business KPIs.• Conducted A/B testing to optimize marketing strategies, which led to data-driven decisions that improved campaign performance.• Utilized Agile project management methodologies, resulting in a 34% increase in project delivery speed and improved cross-functional collaboration.• Developed and managed 15 dashboards and 35 ad hoc reports using business intelligence tools such as Tableau and Google Charts to streamline decision-making and problem-solving processes.

Basking Ridge, Nj, Us

• Utilized SQL, TensorFlow, and Long Short-Term Memory (LSTM) networks to predict equipment replacement timelines with a Root Mean Square Error (RMSE) of 16, thereby reducing budget overruns.• Developed a machine learning model using Python and Linear Regression to predict future sales, achieving an 85% accuracy by analyzing the impact of advertising costs across various media and creating insightful data visualizations to optimize marketing strategies.• Implemented Site Project Management (SPM) protocols to seamlessly track and analyze project milestones, from initiation through close-out, across all U.S. locations.• Designed and deployed Tableau dashboards for the FUZE application, integrating SQL data streams to improve infrastructure monitoring and decision-making, resulting in an 18% faster project delivery.• Utilized R for advanced statistical modeling, performing hypothesis testing, regression analysis, and time series forecasting, ensuring data-driven project management strategies.• Developed custom Excel and Power BI models for financial forecasting and project analysis, streamlining the reporting process and improving data transparency for stakeholders.

Los Angeles, Ca, Us

• Performed detailed data analysis using SQL to extract, clean, and manipulate large datasets, generating actionable insights to support key decision-making processes.• Managed food inventory and order tracking from vendors, including US Foods and LA Produce, ensuring timely deliveries and maintaining accurate records for all USC dining halls and restaurants.• Generated automated monthly revenue reports for accounting and senior leadership, providing insights into sales and ensuring compliance with royalty fee criteria by excluding ineligible items.• Collaborated with cross-functional teams to streamline the tracking of orders, receipts, and payments, resulting in improved operational efficiency across dining services.• Utilized SQL and advanced Excel to develop custom reporting tools that tracked key performance metrics, delivering actionable insights on food ordering patterns and optimizing procurement schedules.• Built and monitored data pipelines to ensure accuracy and consistency in sales reports, which informed senior leadership decisions.

Basking Ridge, Nj, Us

• Utilized Python, and SQL for data extraction, cleaning, and analysis, ensuring data accuracy and reliability.• Improved the accuracy of churn prediction models by 18%, enabling targeted retention strategies and reducing customer attrition.• Designed and executed A/B tests to evaluate the impact of new features, promotions, and service changes on customer behaviour and engagement.• Leveraged clustering techniques such as K-means and DBSCAN to create actionable segments for targeted marketing campaigns.• Presented complex data findings to non-technical stakeholders, translating technical results into actionable business insights.

• Leveraged SQL and Excel to extract, clean, and aggregate data, optimizing data processing workflows to improve analytical efficiency and accuracy across diverse datasets.• Developed comprehensive reports and interactive dashboards in Power BI, effectively translating complex data into actionable insights for senior management, driving data-informed decision-making in marketing and sales strategies.• Conducted detailed analysis of customer data to identify key segments based on usage patterns, demographics, and geography, enabling precise targeting for marketing campaigns and personalized service offerings.• Monitored and analyzed key performance indicators (KPIs) to evaluate the success of marketing and sales initiatives, providing insights on effectiveness and ROI to guide strategic optimizations.• Identified and resolved inefficiencies in data workflows by implementing process improvements

Master Of Engineering - Meng, Ece

Bachelor Of Engineering - Be, Electronics And Communication