
Rang Technologies has dedicated over a decade delivering best talent & solutions in Analytics, Data Science, AI, Machine Learning, Salesforce & Cloud. We at Rang Technologies specialize in Data Science and Analytics Solutions and Staffing Services. Our goal is to help our Customers make better decisions using data to get fast-track success. We value diversity with a focused motto: making better decisions with data. We operate as one team to solve data mining problems, bringing highly qualified and experienced data mining professionals with advanced degrees in Computer Science, Data Science, Statistics, Mathematics, Information Sciences, Management, Finance, Engineering, Biomedical Engineering, Public Health, Epidemiology, and Bioinformatics. Areas that we focus are Clinical Data Analytics, Marketing Analytics, Financial Analytics, Healthcare Analytics, Web Analytics, Visual Analytics, Machine Learning, and SAS / Grid Administration. We provide consulting services in variety of area including but not limited to SAS Clinical Programming, Bio-Statistical Services, Credit Score Card development, Fraud Detection, Credit Risk, Market Risk, Basel Modeling, Data base marketing, Campaign Management, Web Analytics, Optimization, Predictive Modelling, Propensity Modelling, SAS Clinical Programming, R, Big Data, Hadoop, Grid Administration, Survival Analysis, CDISC Consulting, Bioinformatics, and Power Analysis. We also provide training to bridge the gap of industry needs and the candidates' qualifications, considering candidate strengths and interests.
The training program is exceptionally thorough, providing in-depth knowledge and support, ensuring that projects can commence within two months of completion.
1. What is a Software Engineer? At Rang Technologies, the Software Engineer role is often distinct from generalist engineering positions found in pure tech firms. Because Rang Technologies specializes in data science, life sciences, and workforce solutions, this role frequently sits at the intersection of technical programming and clinical data...