Aptus Data Labs
Sthita Pragnya Nanda is a seasoned HR professional with extensive experience in talent acquisition and human resources management. Currently serving as Lead - HR & Recruitment at Aptus Data Labs since April 2017, Sthita is focused on driving HR functions and recruitment within the Big Data and Analytics sectors. Prior to this role, Sthita worked as Manager, Talent Acquisition & HR at AndolaSoft, Inc., where responsibilities included induction, orientation, and performance management. Earlier experience includes positions as HR Analyst at EBiz Web Services and HR Executive at Consumer Media Network Pvt. Ltd. Sthita holds an M.B.A. in HR and Finance from Bhubaneswar Institute of Management and Information Technology.
This person is not in any teams
Aptus Data Labs
Aptus Data Labs (“Aptusdatalabs Technologies Private Limited - CIN:U72900KA2014PTC077646”) is an innovative Data Science and Advanced Analytics Company offering analytical solutions and consulting services that help businesses make quick, cogent, data-driven decisions, essentially required to sustain and grow in tandem with evolving industry trends. We help enterprises look beyond business data and gain industry-leading insights to assure them about Big Business Decisions. We leverage upon primary data, data management technologies, Data Science and Decision Science, and combine them with apt catalysts like domain-specific Key Performance Indicators (KPIs), mathematical algorithms and “Aptus Accelerators" to identify risks and key business opportunities with better forecasts. Empowered with a strong engineering & technology work culture, Aptus Data Labs encompasses a mission-focused team of data analysts, data scientists, business SMEs, architects and engineers, who cater to a wide range of clientele across various industry domains such as Healthcare & Life Sciences, Retail & Consumer Industries, Manufacturing, Energy & Utilities and Social Intelligence. Our team of talented go-getters, who truly understand the technology and business in the analytics space, are capable of handling all types of enterprise dataset to extrapolate key business values using descriptive, predictive and prescriptive capabilities.