Devendra Sahu Email & Phone Number

Hyderabad, Telangana, India

I lead the Global Analytics Portfolio within Novartis Quality, driving innovation and efficiency across reporting, analytics, and data science initiatives. My key responsibilities include:• As business system owner of Quality data lake ensuring guidelines are followed, efficiency is maintained, and cloud cost does not escalate• As business owner of Global quality analytics, gathering requirements from all manufacturing sites and global quality teams, aligning the requirements and ensuring harmonized definitions• Identifying and implementing new opportunities for reporting, analytics, and data science with the support of IT resources.• Overseeing the current suite of data science-based global quality risk management solutions• Initiating new data science projects, creating proof-of-concepts (POCs), evaluating potential benefits, developing solutions, and ensuring their release for end-users.• Simplifying existing applications by identifying and eliminating process inefficiencies.• Creating GxP and Non-GxP validated systems, ensuring adherence to global guidelines across applications and teams.• Developing a team of highly skilled analytics and data science translators for new and ongoing application development, training, and fit-for-purpose modifications.This role combines strategic foresight, technical expertise, and leadership to propel Novartis Quality towards greater innovation and operational excellence.

Hyderabad, Telangana, India

Quality Risk Management

Hyderabad Area, India

Applying Data science into Pharma manufacturing processes, bringing innovation in a GXP environment. Creating deployable data science based solutions involving NLP, advanced ML techniques, deep learning, and hybrid learning. Also, helping the organization in updating the internal talent for next gen work into data science.

Bengaluru Area, India

• ML Model Development: Created machine learning models for cross-sell and new product adoption, improving client targeting.• Sentiment Analysis: Developed algorithms for predicting customer sentiment from interactions and other features.• Training and Mentorship: Trained internal teams on Python and Tableau; provided guidance on data science techniques and algorithms.• Stakeholder Engagement: Presented innovative ideas to enhance customer experience, securing stakeholder buy-in.• Operational Efficiency: Automated demand forecasting and regular reporting processes using VB and SQL.• Data Analysis: Conducted operational analytics, capacity planning, and customer call sentiment analysis.

Bengaluru Area, India

Worked into sourcing & procurement analytics for Fortune 500 clients such as Intel, Biogen, Valspar, Bacardi, Anglo American etc.• Yield and price forecasting of Tequila production during 2013-2018• Buyer power analysis on two major suppliers (Caterpillar & Komatsu), analysis on mining equipment revenue stream, TOP 10 customers of each supplier and share of each customer to mining stream revenue• Chemical price forecasting using time series modelling• Spend analysis for a large medical equipment manufacturer. This analysis provided insights into fringe spending and other payments. The company later took action based on insights and saved more than ~$1 million per year in terms of small spending's

Jaipur Area, India

-Market research of organic and Eco-friendly product suppliers-Contact prospective suppliers-Verify the products on green level-Discuss margins and supply chain models-Engagement finalization and on-boarding the supplier with E-store-Collect product information and providing to MIS team

Pune Area, India

Software development work for Symantec corporation, reporting, and coordination with global team. The project was search interface to Symantec customers for technical assistance.• Omniture integration with the website to track web activities• Modification and customizations of InQuira pages as per the structure of Symantec corporation• Developed and integrated email functionality, optimized search and page load time

Master Of Business Administration - Mba

B. E.

School