Deepak Gowda Email & Phone Number

Round Rock, Texas, Us

As a member of Dell's Power Edge AIOps Analytics Team, I am part of a dynamic group dedicated to advancing the capabilities of Power Edge servers, which are pivotal in powering next-generation artificial intelligence (Gen AI) in data centers. Our team focuses on harnessing advanced analytics to optimize server performance, ensuring that our cutting-edge technology meets the growing demands of AI-driven applications. By leveraging our expertise in data analytics, we enhance the efficiency, reliability, and scalability of Power Edge servers, contributing to Dell's mission of delivering innovative and robust solutions for the data centers of tomorrow.Accomplishments:• I developed the ML solutions to predict Hard Disk and RAM failures. GPU Analytics.Many patents have been filed to power the data center of tomorrow.

Round Rock, Texas, Us

Key Responsibilities: A key Technical Leader with a critical responsibility to develop AI/ML solutions for CloudIQ product and PowerEdge Products. To build cutting-edge Cyber Security & AI solutions to detect cyber attacks, hardware failures & remediations to protect & safeguard critical Datacenter Infrastructure.Major Accomplishment:• I developed an AI/ML solution to proactively detect hardware/software failures & remediation for data center Infrastructure. AIOPs capability prototype was developed to self-diagnose and self-heal the Data Center Infrastructure Issues using patented AI/ML algorithms & Robotic Process Automation. The solution helped to demonstrate the Industry's move towards autonomous, self-driving & self-Healing Datacenter Infrastructure. • I am the AIOPs Patent committee chair leading a team of distinguished engineers to review patents.• I have won many global AI/ML competitions in Data Center Infrastructure Solutions.Major Impact: • USPTO granted me many patents in Cyber Security, AI/ML algorithms, Hard disks, Supply Chain, Data Storage, Infrastructure as a service, etc. Dell's products have implemented these patents through CloudIQ. For example, one of my inventions related to hard disks to detect failures using sound sensors and Deep Learning has a significant Industry Impact on reducing the rate of hard disk failures. • CloudIQ product helped Dell become a market leader in data center storage & server products segments, increasing both market share & revenue for Dell.• Through the usage of CloudIQ products available on the web, Android & iOS stores, Major Cloud providers such as Amazon, Microsoft & Google, and many others were able to manage & run their data centers better to safeguard against Cyber Security threats.

Round Rock, Texas, Us

Results & Impacts: Reduced the overall time to resolution by > 20% for Critical & High Severity Issues in Storage products. Reduced Data Loss & Unavailability incidents by >10%.Major Accomplishments:• I built an end-to-end Data Infrastructure, MLOPs Platform, on Azure Platform. This involved building the Data & ML pipeline, data lake & Lake House. The platform helped streamline the entire data engineering & machine learning workflows for the CloudIQ team. It enabled the team to build the ML models quickly & efficiently using many years of data (a few hundred billion rows) • I developed a highly scalable microservice-based app to detect the imminent threat of running out of capacity in Data Center Storage Infrastructure using near-real-time time-series telemetry. The solution used multi-threading, multi-processing, and distributed computing in a unique way to achieve ms response time on millions of objects. A patented AI/ML algorithm used telemetry at two storage layers to detect cyber-attacks/ransomware patterns. This solution helped reduce the number of Data Loss & Data Unavailability by > 30%, which resulted in higher customer satisfaction but also helped to reduce data center downtime significantly. Developed data visualization dashboards for monitoring metrics for capacity data.• I enhanced an Anomaly Detection Service to detect Cyber security threats. The solution helped reduce cyber attacks by 20% & enabled Dell to use it as one key product feature contributing to higher revenue & market share. Other Contributions: Led, managed, coached & mentored several junior team members. Won multiple Global Hackathons. I conducted several technical interviews to hire AI/ML/data engineering talent.Tools/Technologies Used:Apache Spark, Apache Cassandra, Pivotal Cloud Foundry, Kubernetes, Docker, Azure Data Bricks, Delta Lake, Shiny R server, Python, many open source packages, etc

Basking Ridge, Nj, Us

Key Responsibilities: Key Supply Chain Analytical Leader with a responsibility to manage & optimize the inventory for all of the Verizon Stores(~2500) across the US. To optimize the revenue without impacting the service level by finding Top/Bottom SKUs (Stock Keeping Units) for each store, SKU forecasts, Inventory shuffling, etc. •Responsible for initiating & executing strategic efforts across the Supply Chain, leveraging advanced analytics to optimize processes & procedures that lead to more effective order routing, transportation, working capital optimization, Inventory optimization, and device life cycle management service levels across all Verizon stores.Major accomplishments : • I developed a customized AI/ML/Forecasting algorithm to optimize the Inventory levels with optimized safety stocks to maintain high service levels. The solution resulted in $5M inventory savings each quarter & >95% service levels.• I developed a deep Learning-based ML solution to predict the cost of the used device based on device images for trademore.com (owned by Verizon). This solution helped reduce the overall device sell/buy cycle by more than 50%, increasing customer confidence and trust. • I developed a predictive model for Taxonomy Classification. Web Analytics & AB testing for trademore.com using google analytics.Tools/Technologies Used:Apache Spark, Hive, Python, many open source packages, etc

San Jose, Ca, Us

I worked for the Customer Success & Business Transformation group & for Information Technology Group.Key Responsibilities: To develop data science & data engineering solutions for recurring revenue customers & for an IT application to track and manage product bugs. Major accomplishments : • I developed ML solutions to predict customer usage, health score, satisfaction, and customer churn. Developed cross-sell & up-sell recommendation for subscription-based recurring business. Increased customer retention by 10% & recurring revenue by 5% by overhauling the business service subscription strategy. Developed, Deployed Metrics Dashboard for a subscription business. • I developed an NLP-based model to detect duplicate defects & similar defects. Cut product defect duplication by 22% & boosted support technician productivity by 8% with a bug identification algorithm.Developed Visualization & metrics dashboard for Product defects. • Performed the ETL using the NoSQL database to store logs data. Developed the streaming data platform for the structured & unstructured telemetry data.

Santa Clara, California, Us

Key Responsibilities: To build Supply Chain solutions through Business Process Reengineering for many Intel global facilities such as Wafer Manufacturing, Assembly & Test, and Warehouses. To lead & manage Global enterprise projects such as SAP, Enterprise data warehousing & Reporting Platform, and Big Data platforms & solutions. Major accomplishments : • As a Technical Project Manager & Scrum Master, led & managed a global team of System/Business Analysts, Data engineers, Third-party vendors, and OEM/ODMs teams to deploy key supply chain capabilities for Intel. One of the programs had a team size of ~ 100 people. Efforts resulted in building core supply chain & Enterprise data platform capabilities for Intel to shorten the overall lead time for Customers & reduce the inventory levels by 20%, directly impacting the bottom line. • As a Supply Chain Product Manager, I worked with the Malaysian & Vietnam governments to deploy a solution to automate the export and import transactions. The solution helped Intel reduce the shipping time by more than 25%. This association increased the confidence and trust in Intel by governments and some key Intel vendors. • As an Individual Contributor (Programmer, System/Business/Data Analyst, Data Engineer & Data Scientist), I designed& developed many solutions in Order to Cash, Procure to Pay, and Manufacturing, Logistics business processes, large-scale enterprise data migration, and prototyping analytical solutions such as Factory machine breakdown prediction, Network outage Analysis, Inventory optimization, Predicting Shipment Delay, etc.• As a Technical Trainer at Intel Academy, I taught several in-person technical courses in many countries. Efforts helped grow the technical talent & cost savings. Major Impact : As assessed by Gartner, Intel became one of the Top 10 Supply Chain companies.

Mini-Mba, Supply Chain In A Digitized Network

M.S, Software Systems

B.E, Mechanical Engineering