Worked in agile and waterfall methodologies with high quality deliverables delivered on-time. Practical experience with working on multiple environments like development, testing, production. Involved in developing HTML and JavaScript for client side presentation and data validation on the client side with in the forms. Programming Language: python, Java, MYSQL, C/C++. Created and published multiple dashboards and reports using Tableau server. Generated the readmission reports for the hospitals of Delaware and Maryland. The model merges the daily data with the historical data and applies various quantitative algorithms to check the best fit for the day. Created HBase tables to store various data formats of data coming from different portfolios. EDUCATION. Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format. Recommended Udemy Course: (2018) Career Hacking: Resume, LinkedIn, Interviewing +More. We all know the old catch-22 — you need a job to get job experience and job experience to get a job. Implemented cluster analysis (PROC CLUSTER and PROC FASTCLUS) iteratively. Understanding of Python best Practices (PEP-8). Applied clustering algorithms i.e. Created database access layer using JDBC and PL/SQL stored procedures. Extensively used SQL queries for legacy data retrieval jobs. Created PHP/MySQL back-end for data entry from Flash. Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python. Advance your programming skills and refine your ability to work with messy, complex datasets. Separately calculated the KPIs for Target and Mass campaigns at pre-promo-post periods with respective to their transactions, spend and visits. BA COMPUTER SCIENCE. Designed and created backend data access modules using PL/SQL stored procedures and Oracle. Experienced in installing, configuring, modifying, testing and deploying applications with Apache. Handled all the client side validation using JavaScript. Extensive experience in Data Visualization including producing tables, graphs, listings using various procedures and tools such as Tableau. Used Python to place data into JSON files for testing Django Websites. Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL database. Make it one-page long, list only relevant information, save it as a PDF, and make good use of white space. Developed the project in Linux environment. Complaints, such as number of open and closed complaints. Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings. Worked and extracted data from various database sources like Oracle, SQL Server, DB2, regularly accessing JIRA tool and other internal issue trackers for the Project development. Responsible for maintaining and analyzing large datasets used to analyze risk by domain experts. Used the Django Framework to develop the application. Angular.js is used to build efficient backend for client web application. Time Series Analysis •Performed data mining, data cleaning & explored data visualization techniques on a variety of data stored in spreadsheets and text files using R and plotting the same using ggplot2 function •Sufficient exposure to designing and developing Tableau reports and dashboards for data visualization using R & Tableau Captures the changes for each market to create a daily email alert to the client to help make better investment decisions. Used big data tools Spark (Sparksql, Mllib) to conduct the real time analysis of credit card fraud based on AWS * Performed Data audit, QA of SAS code/projects and sense check of results. Writing a resume for data science job applications is rarely a fun task, but it is a necessary evil. Responsibilities: Built multifunction readmission reports using python pandas and Django frame work; Used IMAT to connect the hospital data and execute the code. Managed datasets using Panda data frames and MySQL, queried MYSQL database queries from python using Python-MySQL connector and MYSQLdb package to retrieve information. Implemented Classification using supervised algorithms like LogisticRegression, Decisiontrees, KNN, NaiveBayes. If your resume has relevant Data Analyst Resume Keywords that match the job description, only then ATS will pass your resume to the next level. Involved in capturing the requirements for serial functional interface and other software requirements specification document. Designed object model, data model, tables, constraints, necessary stored procedures, functions, triggers, and packages for Oracle Database. Explain how you learned your skills Improved fraud prediction performance by using random forest and gradient boosting for feature selection with Python Scikit-learn. Built the model in R and model deployment using Python. Developed Descriptive statistics and inferential statistics for Logistics optimization, Average hours per job, Value throughput data to at 95% confidence interval. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the recruiter or hiring manager. Wrote Python routines to log into the websites and fetch data for selected options. Developed and implemented predictive models using Natural Language Processing Techniques and machinelearning algorithms such as linear regression, classification, multivariate regression, Naive Bayes, RandomForests, K-means clustering, KNN, PCA and regularization for data analysis. Generated Python Django forms to record data of online users and used PyTest for writing test cases. Worked extensively with data governance team to maintain data models, Metadata and dictionaries. Responsible for debugging the project monitored on JIRA (Agile). Adept in statistical programming languages like R and Python including Big Data technologies like Hadoop, Hive. Structuring the Data Marts to store and organize the customer's data. CORE SKILLS. Wrote and executed various MYSQL database queries from Python using Python-MySQL connector and MySQLdb package. Build My Resume Now Used Agile methodology and SCRUM process for project developing. Flinders University, Adelaide, SA. Used Pandas, NumPy, seaborn, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis. Developed Hive queries that compared new incoming data against historic data. Summary : 10 years of experience as a Data Analyst skilled in recording, interpreting and analyzing data in a fast-paced environment.Proven knowledge in expanding existing data collection and data delivery platforms. Generated Python Django Forms to record data of online users. P.O.W.E.R Resume System: Proven system to get job interviews. Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS and JavaScript. Helped with the migration from the old server to Jira database (Matching Fields) with Python scripts for transferring and verifying the information. Participated in Data Acquisition with Data Engineer team to extract historical and real-time data by using Hadoop MapReduce and HDFS. Manage, collaborate and coordinate the work of an offshore development team. Effectively communicated with the external vendors to resolve queries. Understanding the client business problems and analyzing the data by using appropriate Statistical models to generate insights. Used data types like dictionaries, tuples and object oriented concepts based inheritance features for making complex algorithms of networks. Created Autosys batch processes to fully automate the model to pick the latest as well as the best bond that fits best for that market. Participated in the complete SDLC process and used PHP to develop website functionality. Extensively used SAS procedures like IMPORT, EXPORT, SORT, FREQ, MEANS, FORMAT, APPEND, UNIVARIATE, DATASETS and REPORT. Aggregate all available information about the customer. Implemented web applications in Flask and spring frameworks following MVC architecture. | Cookie policy. Used packages like dplyr, tidyr & ggplot2 in R Studio for data visualization and generated scatter plot and high low graph to identify relation between different variables. Built the model on Azure platform using Python and Spark for the model development and Dash by plotly for visualizations. Points to remember include: Use information in your resume that matches the job description. Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and JQuery. Also measured the KPIs at MoM (Month on Month), QoQ (Quarter on Quarter) and YoY (Year on Year) with respect to pre-promo-post. 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution) Commonly used Machine Learning Algorithms (with Python and R Codes) Introductory guide on Linear Programming for (aspiring) data scientists 25 Questions to test a Data Scientist on Support Vector Machines Experienced in developing Web Services with Python programming language. Developed tools using Python, Shell scripting, XML to automate some of the menial tasks. 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