About

Karuna Lakhani is a highly skilled and accomplished Data Scientist, Machine Learning Specialist, and Neo4j Certified Professional with over five years of experience in utilizing statistical models. She is currently the Chief Technology Officer and co-founder of Graamm, a TE-Commerce platform for tier 3 and rural India. Karuna graduated with a Bachelor's degree in Electronics and Telecommunication from the Mumbai University and went on to work with Accenture Technologies for three years before pursuing a Master's degree in Data Science at the University of British Columbia, Canada, in 2018. Karuna's expertise lies in Hadoop, Machine Learning, Neural Networks, Graph Database, Data Mining techniques for Predictive Modelling and Analytics, Data Integration, and Natural Language Processing. She has also worked on Azure ML, AWS ML, and Docker. Karuna is a knowledgeable and detail-oriented data scientist who has successfully delivered projects with customer-centric companies to build graph databases from website logs. She can create easily understandable visualization reports from complex information. Karuna's passion for research and development led her to publish a paper on how to use word embedding to analyze system logs at the SMCE 2019 Conference in Italy. She is also a Technical Trainer Speaker with self-employed experience in providing technical trainings and workshops for corporates, universities, and colleges in the field of Data Science, Deep Learning, AI, Machine Learning in R and Python, Neo4j, Data Engineering, Spark, Big Data, Hadoop, Tableau, Business Intelligence, Power BI, Qliksense, etc. Karuna's TechStack includes Research Scientist, ML, Neo4j, Data Scientist, Senior Software Engineer, SQL, AWS, AI, NLP, Python, Docker, Neural Networks, Hadoop, Azure, Integration. She is a highly motivated individual with a strong work ethic and a commitment to excellence. Karuna's determination and dedicated efforts have led her to achieve great success in her career, and she is always looking for new challenges and opportunities to contribute to the revolutionary technological development.