Aptus Data Labs
Shivam Parmar is a Data Scientist at Aptus Data Labs, with experience that includes a Data Science Internship at the same company. Since March 2021, Shivam has worked on projects such as utilizing AWS Textract for text extraction from various PDF formats and developing an Object Detection Pipeline with AWS Rekognition to classify uploaded images. Shivam holds a Post Graduation Diploma in Data Science from the International Institute of Information Technology, Bhubaneswar, and a Bachelor of Engineering in Computer Science from Shri Vaishnav Institute of Technology and Science, Indore.
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.