Logesh is a Data Scientist at Mopro, building NLP products with awesome people. His work involves bringing Deep learning-based NLP solutions from early prototypes to production. He is also a Mentor at Springboard, helping future Machine Learning engineers and Data Scientists in his free time. When he is not in front of a computer screen, he can be found playing badminton, photographing, or reading a book.
Anand Mishra is Head of Engineering at Analytics Vidhya. He is an entrepreneur, an engineer and a data science professional all rolled into one.
He co-founded MudraCircle, the true lending marketplace leveraging machine learning to fulfill SME loans. Before MudraCircle, Anand has worked across several companies like Lendingkart, HTMedia as Head of Data Science, Tickled Media, Infoedge India and Opera Solutions. He brings experience across several domains including E-Commerce, Fashion and Retail.
Anand earned his B.Tech and M.Tech in Electrical Engineering from IIT Kanpur. He specializes in analytical problem solving, especially machine learning, classification, regression, and decision optimization. His thesis focused on automatically annotating large image collections on the web using a combination of weighted feature-classifier pairs.
Prateek is a Data Scientist at Analytics Vidhya. He has a multidisciplinary academic background and rich experience in the BFSI and E-Learning industries. Prateek’s strengths include expertise in Natural Language Processing (NLP) and Machine Learning.
He is well versed in Python, R and most of the libraries and frameworks around machine learning and NLP. He has taken various trainings on NLP and Data Science and is also a course instructor and content creator at Analytics Vidhya.
Mohd Sanad Zaki Rizvi is a Data Scientist at Analytics Vidhya. Sanad’s strengths include his expertise in Machine Learning, NLP and Software Engineering.
He has conducted multiple trainings on Data Science and NLP. He has previously worked in a research capacity at the University of Southern Califonia, Los Angeles where he worked at the intersection of NLP and Deep Learning to build better virtual STEM mentors.
When Sanad is not busy exploring the latest breakthroughs in NLP, he is an avid contributor to open-source projects including the Python programming language.
Atul Agarwal is an IIIT-Hyderabad 2017 graduate and is currently working as a Software Engineer in the Search Team of Walmart Labs International in Bangalore.
Over the last 2 years, Walmart International Search has undergone a major transformation and Atul has been part of the core team which has made this possible. He is primarily involved in building analytics engines and services for the search platform using Deep Learning in the context of Taxonomy Classification, Reinforcement Learning for Search Relevance & Refinement. He is currently working on seq2seq models for Related and Refined Search.
His interests include Natural Language Processing (NLP) and Computer Vision.
Sonu Sharma is currently working as a Software Engineer in the Search Team of Walmart Labs International in Bangalore. His core interests include Natural Language Processing (NLP) and Computer Vision.
Over the last 2 years, Walmart International Search has undergone a major transformation and Sonu has been part of the core team which has made this possible. He is primarily involved in building analytics engines and services for the search platform using Deep Learning Models, in the context of Query Understanding, Relevance, and Personalisation of Search. He is currently working on Visual Search.
He is an NIT Allahabad 2017 graduate in Computer Science & Engineering.
Ankur completed his Bachelor’s in Engineering from IIT BHU in 2013. He has 6 years of industrial experience in data science and analytics, specializing in Machine Learning and Deep Learning.
Recently, Ankur has been working on designing Neural Network architecture for problems like Time Series, Next Logical Purchase, and Elasticity. He is excited about the way Machine Learning is disrupting different business areas and wants to utilize his skills to solve real-world problems.
He is currently working as a Data Scientist at Dunzo, a hyperlocal delivery app. He is responsible for driving, building and deploying Machine Learning solutions. Prior to Dunzo, he was working at Walmart Labs, where his responsibilities included architecting and building data science solutions for Merchant Technology and pipelining the solution into Production for the business.
Apart from this, Ankur is a mentor for the Data Science Career Track on Machine Learning and Deep Learning using Python for Springboard for the past 2 years now. He is an active participant in Data Science competitions and has completed 50+ ML challenges across channels.
Akshay’s interest in computer science sparked when he was working on a women’s safety application aimed towards women’s welfare in India. Since then, he has been incessantly working on improving his skills.
He came across machine learning then and has made several open-source contributions in the field of ML. He has made successful prototypes like autonomous cars, alphabet recognition, cancer classification, and gesture recognition using learning models. His ambition is to make valuable contributions towards the ML community and leave a message of perseverance and tenacity.
Akshay is one out of 8 Google Developer Experts for Machine Learning from India as well as one in 200 Intel Software Innovators worldwide. Currently, he is working as a software engineer at Symantec, India. He is also deeply influenced by literature, especially Shakespeare’s work.
Yogesh Kulkarni has 16+ years of experience in CAD/Engineering software development in various capacities, including R&D group/site manager. He holds Masters and Doctoral degrees in Mechanical Engineering (specialization: Geometric Modeling Algorithms).
Yogesh is currently working as a Principal Architect at the CTO office in Icertis, India. Outside this, he is doing personal research in the use of Neural Networks for Geometric Algorithms. He also teaches Python Programming, Machine/Deep Learning, and Natural Language Processing.
Sitaram Tadepalli works as a Data Scientist with Tata Consultancy Services and has over 13 years of experience in solution designing, customer relationship and competency development.
He is researching the implications of emerging technologies such as Big Data and Analytics, Machine Learning and artificial intelligence on business models. He is working in corporate research and development division exploring initiatives on employee experiences, platform models, conversational systems, crowdsourcing, and innovation ecosystems.
Sitaram is a member of the IEEE and Life Member of the Cloud Computing Innovation Council of India. He is acting as Secretary and Treasurer for Technology, Engineering and Management Society, IEEE Hyderabad Section.
He has published a couple of research papers in National and International conferences in the area of Big Data Analytics and Internet of Things and a patent on “Method and System Providing Analytics Platform for deriving Enterprise Collaboration Metrics”.
Sitaram holds a Bachelor’s degree in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad and Master’s degree in Data Analytics from Birla Institute of Technology and Sciences, Pilani, India.