Analyzing various logs that are been generating and predicting/forecasting next occurrence of event with various Python libraries. Practical experience with working on multiple environments like development, testing, production. 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. This contains detailed steps and stages of developing and delivering the project including timelines. Chick-Fil-A Data Warehousing/Analysis Project (Nov.-Dec. 2016): Received and imported data from Chick-Fil-A franchise into MS SQL Server, scrubbed data, created fact and dimension tables. 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. Analyzed the partitioned and bucketed data and compute various metrics for reporting. Involved in capturing the requirements for serial functional interface and other software requirements specification document. Performed Data Enrichment jobs to deal missing value, to normalize data, and to select features. Create, activate and program in Anaconda environment. We’ve analyzed countless applications in order to develop a data analyst resume that will land you more interviews. Luckily, that’s not entirely true in data science. Used Ajax and JQuery for transmitting JSON data objects between frontend and controllers. It requires technical and fundamental competencies, varied skill sets and the right mindset to make the analysis relevant to everyone on-board the organization. Tailor it to a job offer. Developed UI of the report based on the business requirement; Generated the readmission reports for the hospitals of Delaware and Maryland. 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. It’s trendy. © 2020 Hire IT People, Inc. Developed and tested many features for dashboard, created using Bootstrap, CSS, and JavaScript. Use the best data analyst resume format. Extensive experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau. Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python. So,… Used Maven to validate, compile and deploy the files. Currently building a reservation model for Public Storage to forecast if the customer would reserve the storage or not. Used python libraries like Beautiful Soap, NumPy and SQLAlchemy. Points to remember include: Use information in your resume that matches the job description. Worked on development of SQL and stored procedures on MYSQL. Typical responsibilities included in a Python Developer resume examples are writing code, implementing Python applications, ensuring data security and protection, and identifying data storage solutions. Generated Python Django Forms to record data of online users. Extracted data from Twitter using Java and Twitter API. 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. Survey sentiment data. Worked on Clustering and factor analysis for classification of data using machine learning algorithms. 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. A highly immersive Data Science program involving Data Manipulation & Visualization, Web Scraping, Machine Learning, Python programming, SQL, GIT, Unix Commands, NoSQL, MongoDB, Hadoop. Experience and Technical proficiency in Designing, Data Modeling Online Applications, Solution Lead for Architecting Data Warehouse/Business Intelligence Applications. Aug 2016. Apply to Data Analyst, Business Analyst, Administrative Analyst and more! Adept in statistical programming languages like R and Python including Big Data technologies like Hadoop, Hive. Participated in Data Acquisition with Data Engineer team to extract historical and real-time data by using Hadoop MapReduce and HDFS. Performed troubleshooting, fixed and deployed many Python bug fixes of the two main applications that were a main source of data for both customers and internal customer service team. The data that is obtained for predicting the churn is classified in the following categories. Developed visualizations and dashboards using ggplot, Tableau. Generated the readmission reports for the hospitals of Delaware and Maryland. Generated Python Django forms to record data of online users and used PyTest for writing test cases. How to describe your experience on a resume for a data analyst to get any job you want. And it also pays well. Communicated and coordinated with other departments to collection business requirement. Added several options to the application to choose particular algorithm for data and address generation. Developed various algorithms for generating several data patterns. Wrote the data validation SAS codes with the help of Univariate, Frequency procedures. Designed and Developed User Interface using front-end technologies like HTML, CSS, JavaScript, JQuery, AngularJS, Bootstrap and JSON. Experience in using collections in Python for manipulating and looping through different user defined objects. 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 Built application logic using Python 2.7. What to Write in a Data Analyst Resume Skills Section. -Business Intelligence & Data Mining - Data Analysis & Visualization-Relational Database Design and SQL Programming - Project Management-Python Programming - Big Data: Tools & Use Cases-Hadoop: Distributed Processing of Big Data - Business Research Methods. Designed and developed a horizontally scalable APIs using Python Flask. Environment: Python, MySQL, Django, Flask, PHP, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows, Linux. Provided GUI utilizing PyQt for the end user to create, modify and view reports based on client data. 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. Developed the project in Linux environment. Optimized algorithm with stochastic gradient descent algorithm Fine-tuned the algorithm parameter with manual tuning and automated tuning such as Bayesian Optimization. Written MapReduce code to process and parsing the data from various sources and storing parsed data into HBase and Hive using HBase - Hive Integration. Environment: Java, Servlets, JDBC, HTML, CSS, JavaScript, JSON, XML, PL/SQL, SQL, web services, JUNIT. Build My Resume Now Extracted data from HDFS and prepared data for exploratory analysis using data munging. Used analytics libraries Sci-Kit Learn, MLLIB and MLxtend. © 2020 Hire IT People, Inc. Implemented Data Exploration to analyze patterns and to select features using Python SciPy. Excellent analytical and problem solving skills and ability to work on own besides being a valuable and contributing team player. What is a Data Analyst? Operating System: UNIX, SUN Solaris, Linux, HPUX, Windows, Reporting Tools: SQR reports, AXSPoint Reports. Developed UI of the report based on the business requirement. Privacy policy JavaScript Libraries: Angular JS, Bootstrap, JQuery, Node JS, Backbone JS. Built models using Statistical techniques like Bayesian HMM and Machine Learning classification models like XG Boost, SVM, and Random Forest. No coding experience required. Pick the right data analyst resume template. Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills. Implemented cluster analysis (PROC CLUSTER and PROC FASTCLUS) iteratively. Worked on Business forecasting, segmentation analysis and Data mining and prepared management reports defining the problem; documenting the analysis and recommending courses of action to determine the best outcomes. Created an aggregated report daily for the client to make investment decisions and help analyze market trends. Environment: Python, Pandas, Django, Flask, XML, HTML, DHTML, CSS, Angular JS, Java script, Windows. Developed and designed automation framework using Python and Shell scripting. • Developed Map reduce program to extract and transform the data sets and resultant dataset were loaded to Cassandra and vice versa using … Involved in writing test cases using JUNIT. Used JIRA for bug tracking and issue tracking. Data Analysis with Python and SQL. 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