Sayali Patil
Network Consulting Engineer, Cisco Systems
Bengaluru, India
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Sayali Patil (Network Consulting Engineer, Cisco, Bangalore) is a Devnet Associate certified professional. In her position, has been involved with major Enterprise and SP customers across the globe namely Wells Fargo, JPMC, Microsoft, etc, playing a pivotal role in conducting periodic business reviews with customers. Her areas of interest include analytics and data science, ML-driven solutions, Blockchain, and Data privacy. She regularly presents at Academics and industry conferences. Apart from her core work, she likes teaching and mentoring students on both tech and non-tech topics.
She has been delivering tech-talks across the globe on various tech topics both in-person and virtually on Artificial Intelligence, Blockchain, IoT. Winner of Pratibha - the Eaton Excellence Award for Aspiring Women Engineers. Delivered a couple of sessions for Cisco Security Conference 2020(SecCon) on Blockchain for AMR and EMEAR regions. Also, recently delivered a session at Data Science Summit 2021(Prague, Cisco) on "Handling Heterogeneous Missing Data & Related techniques" and a couple of Women Technical Conference.
Area of Expertise
Topics
The Zen of Python
Have you ever thought about idioms or best practices in Python? You'll often hear Python developers ask one another how Pythonic a piece of code is!
In this session, we'll be talking about 20 aphorisms that stating how one can write clean and beautiful code with Python. Came to be known as "The Zen of Python". It is a mini style guide for Python code that is also interesting if you don’t program Python. By learning these principles of Python Zen, you will be better at expressing your command in a way that works with Python, rather than struggling with the beast.
Happy Coding.!!
Bridging the Gap between Engineers and Data Scientists
Despite the attention and sizable investments, many companies still struggle to expand data science projects within their organizations. Only a small set of companies in the market have successfully implemented Machine Learning- AI projects and took them from experimental stages to production at scale.
It’s critical operationalizing machine learning efficiently and effectively. So how do we bridge the gap? A data scientist and an engineer will approach the problem of building, unifying, and scaling these algorithms. With our research and experience with customer's ML projects, we have learned about the significant challenges enterprises face. In this session, we’ll propose solutions to address these obstacles. With detailed talk about architecture for successful AI/ML deployment.
Blockchain Technology to Boost Cyber Security - In Pandemics
In this digital world especially in pandemics, nothing seems to be resistant to cyberattacks, criminals can break any computer system and accounts. Cybercrime costs individuals and businesses an estimated $500 billion a year. Also, our current security protocols cannot keep up to protect high secret information with a guarantee. (i.e., DDoS attacks, a phishing email to a credentialed employee can expose the data of millions).
To address these challenges, we propose a blockchain-based framework to boost cybersecurity. Blockchain technology can enable trust in a peer to peer network in a decentralized manner. Blockchain will introduce more agile value chains, quicker product innovations, and smooth integration with IoT and cloud technology.
Recently, NASA decided to implement blockchain technology in order to boost cybersecurity, and prevent denial of service and other attacks on air traffic services. Clearly, blockchain is emerging as a very viable technology when it comes to protecting businesses and other entities from cyber attacks.
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