Data Analyst Resume Downloadable Template A winning data analyst resume must be tailored to a particular job ad, brief, easy to scan, and mistake-free. Involved in preparation & design of technical documents like Bus Matrix Document, PPDM Model, and LDM & PDM. Data elements validation using exploratory data analysis (univariate, bivariate, multivariate analysis). Completed market analysis, resulting in a 21% increase in sales. Below is a sample resume for a data analyst made using our resume builder. Worked on front end frameworks like CSS Bootstrap for responsive webpages. Iteratively rebuild models dealing with changes in data and refining them over time. Also measured the KPIs at MoM (Month on Month), QoQ (Quarter on Quarter) and YoY (Year on Year) with respect to pre-promo-post. Developed and executed User Acceptance Testing portion of test plan. I think you are getting the roles confused. Helped with the migration from the old server to Jira database (Matching Fields) with Python scripts for transferring and verifying the information. Created database access layer using JDBC and PL/SQL stored procedures. Experienced in WAMP (Windows, Apache, MYSQL, Python/PHP) and LAMP (Linux, Apache, MySQL, Python/PHP) Architecture. Used pandas, numpy, seaborn, scipy, matplotlib, scikit-learn, NLTK in Python for developing various machine learning algorithms. Developed the required XML Schema documents and implemented the framework for parsing XML documents. We’ve analyzed countless applications in order to develop a data analyst resume that will land you more interviews. Developed monitoring and notification tools using Python. Experience in using various packages in R and python-like ggplot2, caret, dplyr, Rweka, gmodels, twitter, NLP, Reshape2, rjson, plyr, pandas, NumPy, Seaborn, SciPy, Matplotlib, sci-kit-learn, Beautiful Soup. Resume building is very tricky. Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and JQuery. Education. Maintenance in the testing team for System testing/Integration/UAT. Programmed a utility in Python that used multiple packages (scipy, numpy, pandas). Be as specific as possible when listing what skills and tools you use. Survey sentiment data. Designed and created backend data access modules using PL/SQL stored procedures and Oracle. Extensively used SQL queries for legacy data retrieval jobs. Data Scientist with strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills. Generated Python Django Forms to record data of online users, Used Python and Django creating graphics, XML processing, data exchange and business logic implementation. Used HTML, CSS, JQuery, JSON and Javascript for front end applications. Participated in the complete SDLC process and used PHP to develop website functionality. Extracted data from HDFS and prepared data for exploratory analysis using data munging. Developed various algorithms for generating several data patterns. 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. Operating System: UNIX, SUN Solaris, Linux, HPUX, Windows, Reporting Tools: SQR reports, AXSPoint Reports. Used Python to extract information from XML files. Experience in python, Jupyter, Scientific computing stack (numpy, scipy, pandasand matplotlib). Created a framework using plotly, dash and flask for visualizing the trends and understanding patterns for each market using the history data. Implemented Classification using supervised algorithms like LogisticRegression, Decisiontrees, KNN, NaiveBayes. Highly skilled in using visualization tools like Tableau, ggplot2, dash, flask for creating dashboards. Sr. Data Analyst Resume. Followed coding and documentation standards. Used Git 2.x for version control with Data Engineer team and Data Scientists colleagues. Currently building a reservation model for Public Storage to forecast if the customer would reserve the storage or not. Data Analyst Resume Example Resume Score: 90%. JavaScript Libraries: Angular JS, Bootstrap, JQuery, Node JS, Backbone JS. What to Write in a Data Analyst Resume Skills Section. SVMs, Decision trees for classification of groups and analyzing most significant variables such as FTE, Waiting times of purchase orders and Capacities available and applied process improvement techniques. 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. Used python libraries like Beautiful Soap, NumPy and SQLAlchemy. Variable selection was done by making use of R-square and VIF values. A Business Data Analyst translates numbers into a written Data, normally the sales, market research, cost and the logistics of any business are measured in numerical values, hence it is the job of a Data Analyst to convert these figures into data and help the management in making better decisions. Adept and deep understanding of Statistical modeling, Multivariate Analysis, model testing, problem analysis, model comparison, and validation. Tips and examples of how to put skills and achievements on a data analyst resume. Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms. Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface. Excellent communication, interpersonal and analytical skills and a highly-motivated team player with the ability to work independently. To put it simply, a data analyst is someone who uses technical skills to analyze data and report insights. Worked on rebranding the existing web pages to clients according to the type of deployment. Adept in statistical programming languages like R and Python including Big Data technologies like Hadoop, Hive. Involved in Unit testing and Integration testing. Good knowledge of HadoopArchitecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Secondary Name Node, and MapReduce concepts. Built and analyzed datasets using R, SAS, Matlab and Python (in decreasing order of usage). Built the model on Azure platform using Python and Spark for the model development and Dash by plotly for visualizations. Developed Hive queries for analysis, and exported the result set from Hive to MySQL using Sqoop after processing the data. Good Experience with Django, a high - level Python Web framework. Developed Wrapper in Python for instantiating multi-threaded application. Worked on various Statistical models like DOE, hypothesis testing, Survey testing and queuing theory. Developed UI of the report based on the business requirement; Generated the readmission reports for the hospitals of Delaware and Maryland. Updated and manipulated content and files by using python scripts. Creating meta-data and data dictionary for the future data use/ data refresh of the same client. Generated Python Django forms to record data of online users and used PyTest for writing test cases. Responsible for building data analysis infrastructure to collect, analyze, and visualize data. Advance your programming skills and refine your ability to work with messy, complex datasets. Responsible for maintaining and analyzing large datasets used to analyze risk by domain experts. DataManipulation and Aggregation from different source using Nexus, Toad, BusinessObjects, PowerBI and SmartView. Wrote the data validation SAS codes with the help of Univariate, Frequency procedures. Communicated and presented default customers profiles along with reports using Python and Tableau, analytical results and strategic implications to senior management for strategic decision making Developed scripts in Python to automate the customer query addressable system using python which decreased the time for solving the query of the customer by 45% * Collaborated with other functional teams across the Risk and Non-Risk groups to use standard methodologies and ensure a positive customer experience throughout the customer journey. Separately calculated the KPIs for Target and Mass campaigns at pre-promo-post periods with respective to their transactions, spend and visits. Implemented machine learning model (logistic regression, XGboost) with Python Scikit- learn. Developed a data migration feature using GZ File Compression and AES 256 encryption. Also used Bootstrap as a mechanism to manage and organize the html page layout. Privacy policy Performing QA on the data extracted, transformed and exported to excel. Environment: SQL Server 2012, Jupyter, R 3.1.2, Python, MATLAB, SSRS, SSIS, SSAS, MongoDB, HBase, HDFS, Hive, Pig, Microsoft office, SQL Server Management Studio, Business Intelligence Development Studio, MS Access. Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval. We all know the old catch-22 — you need a job to get job experience and job experience to get a job. Tasked with maintaining RDD's using SparkSQL. Extensively used Python's multiple data science packages like Pandas, NumPy, matplotlib, Seaborn, SciPy, Scikit-learn and NLTK. Skilled in using collections in Python for manipulating and looping through different user defined objects. And utilized SAS for developing Pareto Chart for identifying highly impacting categories in modules to find the work force distribution and created various data visualization charts. As Architect delivered various complex OLAPdatabases/cubes, scorecards, dashboards and reports. Gained expertise in Data Visualization using matplotlib, Bokeh and Plotly. GitHub is where people build software. Provided GUI utilizing PyQt for the end user to create, modify and view reports based on client data. Data Scientist Resume Samples, Data Scientist Resume Examples & Ready-to-use Resume Templates to get you started! Optimized algorithm with stochastic gradient descent algorithm Fine-tuned the algorithm parameter with manual tuning and automated tuning such as Bayesian Optimization. And calculated Process Cycle efficiency of 33.2% and identified value added and non-value added activities. Good Examples of Achievements for a Data Analyst Resume. Built Factor Analysis and Cluster Analysis models using Python SciPy to classify customers into different target groups. Involved in capturing the requirements for serial functional interface and other software requirements specification document. Used Python scripts to update content in the database and manipulate files. Built various graphs for business decision making using Pythonmatplotlib library. Understanding the client business problems and analyzing the data by using appropriate Statistical models to generate insights. Used Django configuration to manage URLs and application parameters. MA IN COMPUTER SCIENCE. Good experience with Amazon Cloud EC2, Simple Storage Service S3 and Amazon SQS. Hierarchical, K-means with help of Scikit and Scipy. Offered by IBM. Effectively communicated with the external vendors to resolve queries. Experience and Technical proficiency in Designing, Data Modeling Online Applications, Solution Lead for Architecting Data Warehouse/Business Intelligence Applications. At the same time, it has to showcase your qualifications and experience in a way that will compel the employer to call you in for the coveted data analyst interview. Worked on Python OpenStack APIs and used NumPy for Numerical analysis. Experienced in developing web-based applications using Python, Django, C++, XML, CSS, HTML, JavaScript, Angular JS and JQuery. KT with the client to understand their various Data Management systems and understanding the data. Environment: Statistical tools: R - 3.3.0, Python 3.0, SQL Server, MS-Excel, MS-PowerPoint. Designed an A/B experiment for testing the business performance of the new recommendation system. Developed and tested many features for dashboard, created using Bootstrap, CSS, and JavaScript. Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format. Used JIRA for bug tracking and issue tracking. Created Servlets and Beans to implement Business Logic. Designed and developed Natural Language Processing models for sentiment analysis. Developed a technical brief based on the business brief. Built an internal visualization platform for the clients to view historic data, make comparisons between various issuers, analytics for different bonds and market. Understanding of Python best Practices (PEP-8). Participated in requirement gathering and worked closely with the architect in designing and modeling. Generated the readmission reports for the hospitals of Delaware and Maryland. If the note attitude is zero, the customer is more satisfied while as the number increases, satisfaction level decreases. Flinders University, Adelaide, SA. Performed univariate, bivariate and multivariate analysis of approx. Experience with continuous integration and automation using Jenkins. Professional Experience. Recommended Udemy Course: (2018) Career Hacking: Resume, LinkedIn, Interviewing +More. A candidate has many dilemmas, These dilemmas are equally hard for Data Scientists looking for a change or even for aspiring Data Scientist. Implemented Agile Methodology for building an internal application. Used Agile methodology and SCRUM process for project developing. Designed and developed a horizontally scalable APIs using Python Flask. Environment: R 3.0, Erwin 9.5, Tableau 8.0, MDM, QlikView, ML Lib, PL/SQL, HDFS, Teradata 14.1, JSON, HADOOP (HDFS), MapReduce, PIG, Spark, R Studio, MAHOUT, JAVA, HIVE, AWS. Implemented web applications in Flask and spring frameworks following MVC architecture. Tasked with migrating the django database from MySQL to PostgreSQL. If your goal is to find resume skills for a specific job role that you are applying for, you can right away use RezRunner and compare your resume against any job … Monash University, Clayton Campus. A highly immersive Data Science program involving Data Manipulation & Visualization, Web Scraping, Machine Learning, Python programming, SQL, GIT, Unix Commands, NoSQL, MongoDB, Hadoop. 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. Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling (decision trees, regression models,clustering), dimensionality reduction using Principal Component Analysis and Factor Analysis, testing and validation using ROC plot, K - fold cross-validation and data visualization. Used Maven to validate, compile and deploy the files. Parsed JSON formatted twitter data and uploaded to database. Used the Django Framework to develop the application. Developed multiple MapReduce jobs in java for data cleaning and pre-processing. Developed Descriptive statistics and inferential statistics for Logistics optimization, Average hours per job, Value throughput data to at 95% confidence interval. On a typical day, a data analyst might use SQL skills to pull data from a company database, use programming skills to analyze that data, and then use communication skills to report their results to a larger audience. Now before you wonder where this article is heading, let me give you the reason of writing this article. Analyzed performance test requirements and developed test plans and have done debugging to understand test objective requirements. Highly efficient Data Scientist/Data Analyst with 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping. Improved fraud prediction performance by using random forest and gradient boosting for feature selection with Python Scikit-learn. Business Analyst / Data Analyst Resume Samples and examples of curated bullet points for your resume to help you get an interview. Good Knowledge in Proof of Concepts (PoC's), gap analysis and gathered necessary data for analysis from different sources, prepared data for data exploration using data munging. Built application logic using Python 2.7. © 2020 Hire IT People, Inc. EDUCATION. And it also pays well. This contains detailed steps and stages of developing and delivering the project including timelines. Built scalable and deployable machine learning models. Performed Exploratory Data Analysis, trying to find trends and clusters. Created reports and dashboards, by using D3.js and Tableau 9.x, to explain and communicate data insights, significant features, models scores and performance of new recommendation system to both technical and business teams. Created and published multiple dashboards and reports using Tableau server. It’s trendy. Used Agile Methodology and SCRUM Process. These tips that we shared should help you build a solid business data analyst resume. After sign-off from the client on technical brief, started developing the SAS codes. Worked on predictive analytics use-cases using Python language. Wrote and executed various MYSQL database queries from Python using Python-MySQL connector and MySQLdb package. Performed analysis on businesses as well as users data and outlined the analysis using interactive visualizations in python. The model collects, merges daily data from market providers and applies different cleaning techniques to eliminate bad data points. Conducted research using focus groups on 3 different products … Environment: Python, Pyspark, Spark SQL, Plotly, Dash, Flask, Post Man Microsoft Azure, Autosys, Docker, Environment: ER Studio 9.7, MDM, GIT, Unix, Python (SciPy, NumPy, Pandas, StatsModel, Plotly), MySQL, Excel, Google Cloud Platform, Tableau 9.x, D3.js, SVM, Random Forests, Naïve Bayes Classifier, A/B experiment, Git 2.x, Agile/SCRUM., MLLib, SAS, regression, logistic regression, Hadoop, NoSQL, Teradata, OLTP, random forest, OLAP, HDFS, ODS, NLTK, SVM, JSON, XML, MapReduce. Worked on Django API's for accessing the database. Build My Resume Now Aug 2016. Privacy policy Exported tables to Tableau and created custom SQL queries to discover insights and visualize data into an interactive dashboard for executives to use. Developed and designed automation framework using Python and Shell scripting. Involved in peer code reviews and performed integration testing of the modules. Worked on development of SQL and stored procedures on MYSQL. Responsibilities: Built multifunction readmission reports using python pandas and Django frame work; Used IMAT to connect the hospital data and execute the code. How to write a data analyst resume that will land you more interviews. Python Developers are in charge of developing web application back end components and offering support to front end developers. Extensively used SAS procedures like IMPORT, EXPORT, SORT, FREQ, MEANS, FORMAT, APPEND, UNIVARIATE, DATASETS and REPORT. Explain how you learned your skills Good industry knowledge, analytical &problem-solving skills and ability to work well within a team as well as an individual. Handled all the client side validation using JavaScript. Participated in requirement gathering and analysis phase of the project in documenting the business requirements by conducting workshops/meetings with various business users. This course will take you from the basics of Python to exploring many different types of data. Environment: Python, MySQL, Django, Flask, PHP, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows, Linux. Developed Views and Templates with Python and using Django's view controller and template language, Website interface is created. Worked on improving performance of existing Pig and Hive Queries. Environment: Java, Servlets, JDBC, HTML, CSS, JavaScript, JSON, XML, PL/SQL, SQL, web services, JUNIT. Environment: Spark, Hadoop, AWS, SAS Enterprise Guide, SAS/MACROS, SAS/ACCESS, SAS/STAT, SAS/SQL, ORACLE, MS-OFFICE, Python (scikit-learn, pandas, Numpy), Machine Learning (logistic regression, XGboost), Gradient Descent algorithm, Bayesian optimization, Tableau. Make it one-page long, list only relevant information, save it as a PDF, and make good use of white space. Created HBase tables to store various data formats of data coming from different portfolios. 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