Sasi Reddyvari is a passionate Tech Enthusiast and Full Stack AI Engineer with expertise in Statistical Modeling, Machine Learning, Natural Language Processing, and Deep Learning. With hands-on experience in advanced Python libraries like Numpy, Pandas, Scikit-learn, Keras, TensorFlow, and NLTK, Sasi excels in developing and deploying data science solutions from scratch. He is proficient in using Docker for containerization, Git for version control, and cloud platforms such as AWS, Azure, and Google Cloud. Known for his flexibility, quick learning, and leadership, Sasi is committed to solving complex problems and driving innovation in AI and data science projects.

Rocky Jagtiani is a seasoned training and development professional with over 20 years of experience. Currently, he heads the training division at Suven Consultants and Technology Pvt. Ltd., where he designs course content and trains trainers. Rocky also imparts knowledge as a part-time expert in data analytics, AI, ML, and software development at institutions like upGrad, Simplilearn, and K J Somaiya Institute of Management. His extensive career includes roles as a database trainer for the Indian government and a lecturer at VES Polytechnic. Rocky's expertise spans C/C++/Java programming, deep learning, and real-time data applications.

Sangeeta Kamesh is an accomplished Data Science Instructor with over 25 years of experience. Currently, she freelances for KnowledgeHut upGrad, Great Learning, and self-employed projects, teaching statistics, machine learning, and programming languages. Sangeeta has also served as an Associate Professor at Amrita School of Engineering, guiding graduate and undergraduate students in research and PhD studies. Her career includes roles at Data Folkz, CSIR Fourth Paradigm Institute, and Wipro Technologies, where she focused on research and talent transformation. With a strong background in education and training, Sangeeta is dedicated to advancing knowledge in data science and technology.

Jayanth MK is a data scientist and AI enthusiast with over 5 years of experience extracting insights from complex datasets and building predictive models. He has expertise in working with massive datasets across industries such as finance, healthcare, energy, automotive, and e-commerce. Proficient in data cleaning, wrangling, preprocessing, and fluent in algorithms like regression, clustering, classification, and deep learning, Jayanth excels at turning raw data into actionable insights. Currently, at Workplace Options, he leads impactful data science projects. Passionate about sharing knowledge, Jayanth delivers training sessions and workshops on data science and AI advancements.

Mohammad Shabbir Taibani is an expert in Excel, Power BI, VBA, and SQL, with a passion for helping others unlock the full potential of these tools. With years of experience as an in-house Excel trainer, he excels at teaching in an engaging and effective manner. Shabbir is dedicated to staying updated on the latest developments and is committed to helping clients and mentees achieve their goals. Whether you're a beginner or an experienced user, Shabbir offers tailored classes to improve data analysis skills and create impactful visualizations.

Founder and leader of CrosInfo Software, innovating in Cloud Infrastructure and Software Development. Co-founded Xpedize, a FinTech SaaS platform, and led tech strategy, business development, and team management. Former Technology Advisor at Teradata, shaping analytics strategies, and DGM at IBM, leading pre-sales for Information Management. Extensive experience in the telecommunication sector, data warehousing, and ETL processes, with significant roles at Bharti Airtel and Teradata.

Jeffrey Aven is a technology leader with over 20 years of experience in data architecture, cloud strategy, and big data analytics. As Principal Consultant at Gamma Data and Founder of StackQL Studios, he drives cloud adoption and innovation. Jeffrey is a Google Developer Expert and an accomplished trainer for Databricks, Confluent, and Google Cloud, with a passion for mentoring and advancing big data technologies.

Phillip K is a seasoned data scientist at E. & J. Gallo Winery with expertise in Python, deep learning, and machine learning pipelines. He also founded Banking & Quantitative Solutions, developing AI systems for facial and text recognition and predictive analytics. With a diverse background including roles as a data analyst, investment banking analyst, and actuarial intern, Phillip has extensive experience in quantitative analysis, financial modeling, and data-driven decision-making.

Tushit Dave is a Principal Data Scientist at LTIMindtree with extensive experience in data science and analytics. Previously, he managed data science operations at HCLTech, led AI/ML product development, and worked as an AI specialist with ParaQuantum. Tushit's background includes roles at KREAAS Technology Solutions, INSOFE, Danaher Corporation, and Emerson, showcasing his expertise in AI, data analysis, and technical project management.