Interested in finding valuable insights from the data using statistical and data science techniques. Coding is my passion, which gives me inner peace. Professional with multidisciplinary academic background of \"Masters in Statistics\". Strong hands on Statistics, Statistical modelling, Predictive Analytics, Machine learning, Deep learning, AI, NLP, Python, SQL and R. Enthusiastic to learn new technologies. Passionate about implementing Data Science techniques and expand the domain of my knowledge base.
Algofocus creates enterprise applications and mobile applications for its customers that are user-friendly, scalable and easy to maintain. We lay a lot of emphasis on rapid development and deployment of the application. We understand that requirements or specifications of a software application is dynamic and hence our development process is highly iterative in nature which allows continuous feedback and changes to be accommodated during development. We work on open source technologies, cloud environments, enterprise web applications and native mobile applications. As a part of our software design process, we incorporate extensive data security and encryption techniques so that the solution is safe and secure on all environments. We have built enterprise and mobile apps for our customers in Insurance, Finance, Manufacturing, FMCG, Retail, Healthcare and Software Products space.
data analyst. Experienced professional in R, Tableau, Excel, Python.
Identify relationships and trends in data, as well as any factors that could affect the results of research. ?	Report results of statistical analyses, including information in the form of graphs, charts, and tables. ?	Analyze and interpret statistical data to identify significant differences in relationships among sources of information. ?	Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. ?	Develop software applications or programming to use for statistical modeling and graphic analysis. ?	Develop and test experimental designs, sampling techniques, and analytical methods. ?	Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data. ?	Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used. ?	Process large amounts of data for statistical modeling and graphic analysis, using computers. ?	Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
•	Experience in Data Analytics with experience on statistical tools SAS, R, Python, Excel, and Machine learning. •	Have hands on experience in R and Python •	Have hands on experience in TM1 Architect. •	Knowledge of Shiny. •	A team player with the strong communication and interpersonal skills. •	Ability to work independently and in a Team Environment.