As a Data Scientist at Explorys, I delve in large volumes of medical data to help drive better decision making and solve problems which make a direct impact on patient care. I am interested in tackling big problems by using my mathematical background combined with good programming and data wrangling skills to develop models and better understand complex datasets. I have also previously worked on data mining project involving large Electronic Health Record (EHR) datasets to derive patterns, find usable insights to provide better clinical and financial decision making abilities. I have developed prototype models to use predictive analytics to make EHRs more streamlined and efficient by developing algorithms to improve and add additional functionalities. I have applied Natural Language Processing Techniques to learn from the huge amount of unstructured text that currently exists in Medical datasets. I also have experience in large scale optimization and scheduling problems. I developed a scheduler tool which helps in University time table scheduling using constraint programming. In my spare time I involve myself in interdisciplinary projects and have developed a composition model using Markov Chain Monte Carlo Methods for Algorithmic Musical Composition. The model analyzes existing piece of music as training data and is capable of producing new pieces of Music based on the training provided in the previous step.

Data Scientist @ From July 2015 to Present (4 months) San Francisco, CaliforniaData Scientist @ I work on a wide variety problems on a day to day basis. My responsibilities are varied and can include working on helping Doctors better understand the data available to them to developing predictive models to predict data points in patient care and improve efficiency. I add meaning to data using data visualizations and also help automate a lot of report generation. I work on a wide stack of available technology and tackle different problems each presenting a new challenge everyday. From September 2014 to July 2015 (11 months) Cleveland OhioData Scientist @ Data Mined vast healthcare datasets to find meaningful insights and patterns to make better decisions. The ability to data mine the clinical data available to us helped in assisting doctors make better clinical decisions and also enabled payers to reduce costs. I implemented machine learning techniques to help develop better products which are intelligent and ultimately lead to better patient care. From July 2013 to September 2014 (1 year 3 months) Tampa/St. Petersburg, Florida AreaData Analyst @ From May 2013 to July 2013 (3 months) Tampa/St. Petersburg, Florida AreaGraduate Teaching Assistant,Department of Mathematical Sciences @ Taught two independent courses of Pre-Calculus and Calculus 2. From August 2012 to July 2013 (1 year) Melbourne, Florida AreaOwner @ From January 2010 to July 2011 (1 year 7 months) Student Researcher @ Worked on a project titled " Valve retrieval System" with an emphasis on the pneumatic circuit design. From January 2011 to May 2011 (5 months) Bengaluru Area, India

Master of Science, Operations Research, 3.83 @ Florida Institute of Technology From 2011 to 2013 Bachelor of Engineering (B.E.), Mechanical Engineering @ Visvesvaraya Technological University From 2006 to 2010 Pre University, Physics, Chemistry, Mathematics, Biology @ Saint Joseph's Pre University College From 2004 to 2006 High School @ Poorna Prajna Education Centre From 1994 to 2004 Kshetrajna Raghavan is skilled in: Data Science, Operations Research, Algorithms, Predictive Modeling, Mathematical Modeling, Matlab, Linear Programming, Game Theory, R, C, Mathematica, Machine Learning, Linear Algebra, Stochastic Modeling, Markov Chains, Monte Carlo modeling, Statistical Data..., Stochastic Processes, Optimization, Probability Theory, Constraint Programming, Simulations, Mathematical Programming, Statistics, LaTeX, Modeling, CPLEX, SQL, Convex Optimization, Finite Element Analysis, Applied Mathematics, Python, Natural Language..., FICO Xpress..., C programming, Logistic Regression, Regression Analysis, Data Mining, Java, Linux, Predictive Analytics, MySQL, Hadoop, MapReduce