Mani Narasimhan

Enabled the Cloud transformation of $60B grocer through analytical modeling, financial reporting, and analysis.
Facilitated the Senior Vice President of Cloud and IT Operations to manage an annual budget of $135M OpEx and $110M CapEx.
Created a business case to demonstrate annual savings of $10M by migrating from MPLS to Broadband across all retail & backstage locations.
Directed cross functional Cloud migration activities ($286M portfolio for 4 years) primarily through budgeting, forecasting, reporting, developing business cases, tracking the benefits and identifying risks & opportunities.
Architected end to end development of standard budget and forecast models that are adopted by the entire team ($330M annual OpEx).
Spear headed review of all funding requests to the steering committee and drove up the first time approval rate to 100%.
Accomplished business case development for Technology investments greater than $500k.

• Applied supervised and unsupervised machine learning algorithms using R and Python, developed both classification and regression decision trees from scratch • Detected traffic signs & lights, corners, identified markers, warped images using augmented reality • Tracked objects using Kalman, Particle filters, used Viola-Jones algorithm to detect faces • Implemented Lucas Kanade and Hierarchical Lucas Kanade algorithms to detect motion. • Determined the shortest path for a robot navigating in a warehouse using A* and Dynamic Programming • Classified human actions such as walking, running, jogging, waving and so on using Hu’s moments and K-Means • Implemented Q-learner, Spanning Tree Protocol, Distance Vector Routing algorithms • Reduced the number of variables in datasets for further analysis using Stepwise regression • Used PCA, Lasso and Ridge regressions to reduce model complexity • Developed excellent intuition and passion for solving algorithms (dynamic programming, divide & conquer, graph, NP-complete/hard).