Rahul Sachdeva
About Rahul Sachdeva
Rahul Sachdeva is an Associate Director of Data & Analytics at NEORIS, with prior experience in various roles including Director of Business Intelligence at Kapitus and Lead Engineer at HCL Technologies. He holds a Bachelor of Engineering in Electronics and Communication and has expertise in analytics, statistical models, and machine learning.
Work at NEORIS
Rahul Sachdeva has been serving as the Associate Director of Data & Analytics at NEORIS since 2021. In this role, he focuses on leveraging data to drive strategic decisions and improve business outcomes. His expertise in data analytics enables him to implement effective solutions that cater to the needs of the organization. He continues to contribute to NEORIS's mission of delivering innovative technology solutions.
Previous Experience at HCL Technologies
Prior to his current position, Rahul worked at HCL Technologies as a Lead Engineer from 2010 to 2012. During his tenure in the Noida Area, he was involved in various engineering projects that enhanced his technical skills and provided valuable experience in the technology sector.
Education and Expertise
Rahul Sachdeva holds a Bachelor of Engineering in Electronics and Communication from Maharshi Dayanand University, which he completed in 2009. He also earned a Post Graduate Program in Management with a focus on Marketing and Analytics from the Great Lakes Institute of Management in 2014. His educational background supports his expertise in data analytics and business intelligence.
Professional Background
Rahul has a diverse professional background, having worked in various roles related to data analytics and business intelligence. He has held positions at companies such as Kapitus, Magic Software Inc., Grazitti Interactive, and Sopra Steria. His experience spans roles from Analyst to Director, showcasing his progression in the field of data and analytics.
Technical Skills and Tools
Rahul Sachdeva possesses hands-on experience with various analytics and visualization platforms, including Alteryx, Tableau, Qlik, DOMO, Python, PowerBI, and SQL. He is also proficient in statistical models and machine learning algorithms, such as Random Forests, Decision Trees, Linear and Logistic Regression, Neural Networks, Clustering, and Natural Language Processing (NLP).