Subarna, a PhD in Applications of Econometrics and Game Theory. Currently she holds the position of Group-manager in the data-science division of IBM leading solutioning and delivery in areas of machine-learning( using spark-scala) and deep-learning. As a senior managing consultant in IBM she is instrumental in winning deals in advanced analytics space. She has over 14 years of experience in leading the design and execution of analytical solutions in various domains, e.g. Banking, retail, CPG, utility, manufacturing, etc. She has previously worked in companies like TCS, HSBC and ANZ

More than 17+ years of IT Experience with good analytical, technical, and troubleshooting skills.

Extensive hands-on and in-depth experience in the DevOps, Cloud, Big Data, Machine Learning and Infrastructure Architect, Automation and Continuous Integration and deployment.

I am a highly self-motivated, proactive and result oriented individual who takes charge and ownership of challenging tasks and continuous learner

How to select proper Recurrent Neural Network Configuration for a problem
Outlier detection using sophisticated techniques like Isolation Forest
Advantages of combining Convolution with recurrent neural network
Feature Importance using Shapely Values & Explainable AI
Benefits of these advanced forecasting techniques compared to classical forecasting methods.

Prof S Chandrasekhar Senior Prof - Business Analytic at IFIM Business School B “Lore since Nov 2013.He has a total of about Fifty Years of experience in Corporate, Research and Academics. Worked at reputed organizations like Tata Institute of fundamental Research, ISRO, NRSA Hyderabad, Indian Institute of Management Lucknow, Fore School of Management at senior level. Held many Academic administrative positions like Chairman Admissions, Chainman MDP , Member Secretary to IIM Board. He worked as visiting Professor at Manchester Business School, U.K. for about a year.

Area: Autonomous Driving, Smart IoT , Edge Computing, Cloud.
Key Skills: Computer Vision.Edge inferencing, Cloud, OpenCV, Numpy, Python , TensorFlow, Onnx, SKLearn, Keras, performance

Key takeaways from your session: Importance of connectionist-symbolic methods. The need for integrating learning with deductive reasoning in models.

Ravindranath is a Business Manager cum Data Scientist working with IBM since 2016. He is playing a key role in delivering large-scale ML projects. He is a Masters holder from ISI.

As an Associate Director at EY, I lead the artificial intelligence and machine learning (AI and ML) practice, delivering innovative solutions and insights for clients across various domains and industries. I have over 15 years of experience in data science, analytics, and research, with a strong background in mathematics, statistics, and computer applications.

Experienced Artificial Intelligence Engineer with a demonstrated history of working in the automotive industry. Skilled in Machine learning, Neural Network, Deep learning, NLP, Database, Python, Java and Various front end technologies.

Key takeaways from your session:
How is banking making AI central to their market offers and operations. How is AI impacting the market structure, cost curves, supply and demand for banking products and making banks more resilient in times of inflation, high costs and market volatility.

Kovid Bhardwaj has close to 17 years of global experience working in investment banking and consulting in mergers and acquisitions, corporate finance, derivatives pricing and valuations, credit and market risk, operations, accounting and regulatory topics. He is an expert in leveraging strategic studies, digital approaches, artificial intelligence, statistics and machine learning to derive key actionable business insights, help transform business models and remodel processes. Currently he is working with Ernst and Young in their strategy and transactions practice focussed on mergers and acquisitions and corporate finance. In his prior role he was the global chair for machine learning for risk and finance in-charge of evaluation, execution and providing guidance on methodologies and implementations for strategic transformational projects. His areas of interest are leveraging ML to solve interesting problems in corporate finance and investment banking. He is passionate about data. Kovid is a CFA charterholder from CFA Institute, USA and MBA from Indian Institute of Management, Lucknow.