Saurav Singla, the machine learning guru, empowering society

ANKUR SAINI | December 10, 2020 | 441 views

Saurav Singla is a Senior Data Scientist, a Machine Learning Expert, an Author, a Technical Writer, a Data Science Course Creator and Instructor, a Mentor, a Speaker.

While Media 7 has followed Saurav Singla’s story closely, this chat with Saurav was about analytics, his journey as a data scientist, and what he brings to the table with his 15 years of extensive statistical modeling, machine learning, natural language processing, deep learning, and data analytics across Consumer Durable, Retail, Finance, Energy, Human Resource and Healthcare sectors. He has grown multiple businesses in the past and is still a researcher at heart.

In the past, Analytics and Predictive Modeling is predominant in few industries but in current times becoming an eminent part of emerging fields such as health, human resource management, pharma, IoT, and other smart solutions as well.

Saurav had worked in data science since 2003. Over the years, he realized that all the people they had hired — whether they are from business or engineering backgrounds — needed extensive training to be able to perform analytics on real-world business datasets.

He got an opportunity to move to Australia in the year 2003. He joined a retail company Harvey Norman in Australia, working out of their Melbourne office for four years.

After moving back to India, in 2008, he joined one of the verticals of Siemens — one of the few companies in India then using analytics services in-house for eight years.

He is a very passionate believer that the use of data and analytics will dramatically change not only corporations but also our societies. Building and expanding the application of analytics for supply chain, logistics, sales, marketing, finance at Siemens was a very fulfilling and enjoyable experience for him.

Siemens was a tremendously rewarding and enjoyable experience for him. He grew the team from zero to fifteen while he was the data scientist leader. He believes those eight years taught him how to think big, scale organizations using data science.

He has demonstrated success in developing and seamlessly executing plans in complex organizational structures. He has also been recognized for maximizing performance by implementing appropriate project management tools through analysis of details to ensure quality control and understanding of emerging technology.

In the year 2016, he started getting a serious inner push to start thinking about joining a consulting and shifted to a company based out in Delhi NCR.

During his ten-month path with them, he improved the way clients and businesses implement and exploit machine learning in their consumer commitments. As part of that vision, he developed class-defining applications that eliminate tension technologies, processes, and humans. Another main aspect of his plan was to ensure that it was affected in very fast agile cycles. Towards that he was actively innovating on operating and engagement models.

In the year 2017, he moved to London and joined a digital technology company, and assisted in building artificial intelligence and machine learning products for their clients. He aimed to solve problems and transform the costs using technology and machine learning. He was associated with them for 2 years.

At the beginning of the year 2018, he joined Mindrops. He developed advanced machine learning technologies and processes to solve client problems. Mentored the Data Science function and guide them in the development of the solution. He built robust clients Data Science capabilities which can be scalable across multiple business use cases.

Outside work, Saurav associated with Mentoring Club and Revive. He volunteers in his spare time for helping, coaching, and mentoring young people in taking up careers in the data science domain, data practitioners to build high-performing teams and grow the industry. He assists data science enthusiasts to stay motivated and guide them along their career path. He helps fill the knowledge gap and help aspirants understand the core of the industry. He helps aspirants analyze their progress and help them upskill accordingly. He also helps them connect with potential job opportunities with their industry-leading network.

Additionally, in the year 2018, he joined as a mentor in the Transaction Behavioral Intelligence company that accelerates business growth for banks with the use of Artificial Intelligence and Machine Learning enabled products. He is guiding their machine learning engineers with their projects. He is enhancing the capabilities of their AI-driven recommendation engine product.

Saurav is teaching the learners to grasp data science knowledge more engaging way by providing courses on the Udemy marketplace. He has created two courses on Udemy, with over twenty thousand students enrolled in it. He regularly speaks at meetups on data science topics and writes articles on data science topics in major publications such as AI Time Journal, Towards Data Science, Data Science Central, Kdnuggets, Data-Driven Investor, HackerNoon, and Infotech Report. He actively contributes academic research papers in machine learning, deep learning, natural language processing, statistics and artificial intelligence.

His book on Machine Learning for Finance was published by BPB Publications which is Asia's largest publisher of Computer and IT Books. This is possibly one of the biggest milestones of his career.

Saurav turned his passion to make knowledge available for society. Saurav believes sharing knowledge is cool, and he wishes everyone should have that passion for knowledge sharing. That would be his success.

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integrate.ai, a SaaS company helping developers solve the world’s most important problems without risking sensitive data, today announces the availability of its privacy-preserving machine learning and analytics platform. The platform leverages federated learning and differential privacy technologies to unlock a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical hurdles. Traditional approaches to machine learning and analytics require centralization and aggregation of data sources, often necessitating data-sharing agreements and supporting infrastructure. This can present an insurmountable roadblock for the world’s most important data-driven problems, particularly in the healthcare, industrial, and finance sectors, where data custodians must enforce the highest privacy and security standards to ensure regulatory and contractual compliance. With integrate.ai’s solution, collaboration barriers can be broken as data does not need to move. It allows data to stay distributed in its original protected environments, while unlocking its value with privacy-protective machine learning and analytics. Operations such as model training and analytics are performed locally, and only end-results are aggregated in a secure and confidential manner. “When data can be securely accessed and collaborated upon, we unlock boundless opportunities for life-saving research and innovation. By allowing organizations to work in a federated way, our platform helps reduce cost structure, accelerate progress against product roadmaps and capture new revenue opportunities—all with more speed and flexibility than any other solution on the market. “Business and technology leaders alike increasingly recognize the global shift towards a more distributed paradigm. 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DNAstack leads the Autism Sharing Initiative, an international collaboration to create the largest federated network of autism data, empowering better genetic insights and accelerating precision healthcare approaches. “Autism is complex and research has shown the value of connecting massive datasets to drive critical insights. Genetic and health datasets are large, sensitive, and globally distributed, making it impossible to bring them all together in one place,” said Marc Fiume, co-founder and CEO of DNAstack. “Federated learning will empower us to ask new questions about autism across global networks while preserving privacy of research participants.” In the heavily regulated worlds of healthcare, financial services, and manufacturing, roadblocks to collaborating with sensitive data abound – from existing and proposed privacy regulations and intellectual property (IP) concerns to the high cost of centralizing massive datasets. Data science initiatives often fail or never start in the areas where their impact could be most life changing, such as early cancer diagnoses and detections of fraud, underscoring the considerable need for privacy-preserving data analytics solutions. Armed with experience serving enterprises across six industries and the construction of its own data network, which leveraged 20B interactions between businesses and people, integrate.ai enables safe access to sensitive data with developer tools for privacy-safe machine learning and analytics. About integrate.ai integrate.ai is a SaaS company democratizing access to privacy-enhancing technology to help developers solve the world’s most important problems without risking sensitive data. By breaking down collaboration barriers within and between organizations, integrate.ai empowers developers and data teams with the privacy-preserving tools they need to harness collective intelligence. Armed with experience serving enterprises across six industries and the building of its own data network, which leveraged 20B interactions between businesses and people, integrate.ai’s product platform is increasing quality data access in healthcare research, financial services, industrial IoT and manufacturing, process automation, advertising, marketing and more.

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ODSC West 2021 to Become the Largest Hybrid Data Science and Machine Learning Conference this November 16-18

ODSC | August 04, 2021

ODSC West 2021, the latest in the largest machine learning conference series for learning applied data science, will return to its in-person format for the first time in almost two years this November 16th-18th in San Francisco, California. This event is expected to bring in 2000 people together across all three days. ODSC West 2021 will offer more than 200 training sessions and workshops led by the best industry experts in data science and thought leaders from top companies striving to advance the state of the art. With the goal of enriching and training the largest data science, artificial intelligence, and machine learning community around the country, ODSC West 2021 will focus on the most in-demand and emerging trends in the field, such as machine and deep learning, NLP, computer vision, predictive analytics, data visualization, and cybersecurity. Past speakers include Cassie Kozyrkov, Michael I. Jordan, Kurt Keutzer, and other experts in the field of data science and AI from reputable organizations such as Google, UC Berkeley, and Microsoft. Focus areas for this year’s conference include: Deep Learning and Deep Reinforcement Learning Data Engineering and MLOps Cybersecurity and Machine Learning Responsible AI and AI for Social Good Machine Learning Hands-on Training Artificial Intelligence Research Foundations In addition to the workshops and machine learning training sessions, ODSC West 2021 will feature a number of bonus events, such as the Ai+ Career Lab & Expo, where 30+ hiring partners will be in attendance to hire the best and brightest data scientists they can find. November 17th-18th will also feature the Virtual AI Expo, a special event for startups, business professionals, executives, investors, and technologists who seek to build and grow the AI-driven enterprise. All talks and attending companies will highlight specific industries, such as AI for healthcare, finance, climate, and more. Currently scheduled companies include HP, Microsoft, Intel, SAS, Mathworks, Algorithmia, DataRobot, Saturn Cloud, and more to come. For any interested data science professionals who are unable to attend in-person, ODSC is partnering with the eventX.ai platform to bring a virtual component to the event. This virtual conference will feature a number of talks and training sessions designed to provide in-depth training to anyone interested in ODSC West but are unable to travel to the convention hall. There will also be a virtual Career Expo and AI Expo component as well. P.S. Register with code ODSC_Media7 today to get an additional discount on your ODSC West in-person or virtual pass. More on ODSC: Open Data Science Conference (ODSC) is the leader of applied data science conferences. Our conferences bring industry leaders, key executives, start-up companies, engineers, and investors on the threshold of innovation together. For more information about the conference, its content, and its partners visit ODSC.com/california, or contact the ODSC Content Marketing Manager, Alex Landa, directly at alex.l@odsc.com.

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