Aug 2024 – May 2025 · 9 mos

• Microsoft Cloud Ops & Innovation
• Leveraging Data Science techniques to predict hardware failure at Microsoft Data Centers, enhancing reliability and operational efficiency

Sep 2023 – Aug 2024 · 11 mos

• 1. Engineered a cutting-edge ML demand forecasting solution for Microsoft's portfolio of over ~5000 SKUs, enhancing demand forecast accuracy by ~x% for Surface Devices and ~y% for Xbox Consoles. Leveraging an ensemble of Time Series and ML algorithms, spearheaded the development & deployment of a fully automated, scalable system, showcasing significant value across diverse markets, customer segments & product lifecycle
• 2. Worked with teams across Microsoft Devices to identify opportunities, estimate ROI, and translate business requirements into technical specifications, accelerating the development and deployment of robust ML/AI solutions.
• 3. Orchestrated end-user socialization and training, igniting adoption and highlighting solution value. Presented actionable data insights and business anomalies in high-stakes performance reviews with Senior Leadership
• 4. Developed and implemented tailored metrics to measure performance, evaluate hypotheses, and optimize strategies for data-driven initiatives. Crafted dynamic, automated Power BI views to provide essential insights to Senior Leadership, fostering clarity and informed decision-making

Sep 2020 – Sep 2023 · 3 yrs

• 1. Handling Modes Prediction Modelling – Built a dynamic predictive forecast solution using Multi-linear Regression, ARIMA and Holt Winters Forecasting to project pick quantities at Microsoft Distribution Centers. Enhancing warehouse capacity and workforce planning with a ~20% increase in forecasting accuracy, authored a white paper published in a Springer-affiliated conference
• 2. Crafted an innovative clustering solution to categorize Microsoft hardware inventory, optimizing product aging, customer affinity, and velocity. Pioneered collaborative metric development with Supply Chain teams, quantifying savings and forecasting future costs. Revolutionized inventory management, and enabled proactive decision-making for cost-effective operations

Jul 2019 – Aug 2020 · 1 yr 1 mo

• Leveraging Data Science techniques to provide business insights for better Sales and Operational planning of Devices Supply Chain. Worked with Fulfillment & Logistics team to create a model to estimate storage at distribution centres, Inbound/outbound throughput, freight for capacity planning & holiday readiness.
• Proposed a multi model solution, which uses techniques like ARIMA, Holt Winters Forecasting, Linear and Logistics Regression, Support Vector Machine to arrive at the forward-looking view of DC Pick profile projections. Also written a white paper on the same solution which has already been accepted for publication in a Scopus indexed journal and awaiting acceptance on few other Springer affiliated conferences.
• Influencing stakeholders to make product improvements that yield business value by effectively making compelling cases through storytelling and visualizations.

Apr 2017 – Jun 2019 · 2 yrs 2 mos · Gurgaon, India

• .Worked in collaboration with PMO team to create live dashboards using Tableau viz. These dashboards are leveraged by Cvent leadership to view company’s performance, Sales Management to view the monthly, quarterly and Yearly performance of their respective teams, Commissions team to roll out the payouts.
• Spearheaded the 2019 annual sales budgeting exercise for Cvent’s global sales and presenting it to the Board.
• Working with Sales Management in forecasting and predicting future sales each month, analyzing the forecasting efficiency and raising alarms in case of aberrations from the prognosis.

Apr 2016 – Mar 2017 · 11 mos · Gurugram, Haryana, India

• Optimus Reporting Business Intelligence Tool - Worked end to end with Finance, Marketing and Optimus Team in the development of ORBIT internal business intelligence tool aimed at redefining reporting with automation.
• Deciphering heaps of transaction data to churn out the meaningful insights for proactively monitoring merchant fraud, analyzing customer behaviour, identifying merchants with deteriorating performance.
• Analyzing customer behaviour, fraud and chargeback control and creating a safe and secure environment to accept online payments for E-commerce merchants.

Jun 2015 – Apr 2016 · 10 mos · New Delhi Area, India

• Designed and implemented a new delivery model SD Instant with average O2D TAT of 4 hours. Live reporting, identifying leg wise pendancy, coming up with new plausible coverage areas to expand the reach of SD Instant with minuscule impact on performance metrics
• Evaluated economic and strategic costs and benefits of upgrading shipments for faster delivery by segmenting lanes based on impact on RTO and Net Margin
• Ensured smooth functionality of SCM operations by providing end-to-end visibility of metrics showcasing SCM health through automation of reports and dashboards built using Tableau

May 2014 – Jun 2014 · 1 mo · Bengaluru, Karnataka, India

• Performed end to end campaign analysis of various live and expired campaigns in order to understand their result and suggest possible changes to increase effectiveness of similar campaigns in the future.
• Analysed various ZipDial products and solutions in order to understand internal trends in customer performance and suggest changes that would be most effective at a ZipDial level.

May 2013 – Jun 2013 · 1 mo · Bengaluru, Karnataka, India

• Developed a system that fetched the network details such as IP Address, Router
• ID on the basis of provided location and sub-locations.
• Tools: Dreamweaver(PHP), XAMPP, MS PowerPoint