Experience in using collections in Python for manipulating and looping through different user defined objects. Participated in features engineering such as feature creating, feature scaling and One-Hot encoding with Scikit-learn. Worked on Clustering and factor analysis for classification of data using machine learning algorithms. Involved in Python open source community and passionate about deep reinforcement learning. Implemented AJAX for dynamic functionality of a webpages for front end applications. Perform 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. Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS and JavaScript. © 2020 Hire IT People, Inc. Data Analyst Resume Example. Coordinate with data scientists and senior technical staff to identify client's needs and document assumptions. Variable selection was done by making use of R-square and VIF values. Deployed Machine Learning (Logistic Regression and PCA) to predict customer churn. Writing a resume for data science job applications is rarely a fun task, but it is a necessary evil. Leverage tools like R, PHP, Python, Hadoop & SQL to drive efficient analytics 19 Risk Data Sourcing Business Analyst Resume Examples & Samples. Worked extensively with data governance team to maintain data models, Metadata and dictionaries. 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. 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. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. 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. Points to remember include: Use information in your resume that matches the job description. Automate different workflows, which are initiated manually with Python scripts and Unix shell scripting. Minimum of 3 years experience, specifically in statistical/data analysis and data mining, predictive modeling, cluster analysis, and optimization Proficient in Python, R, SAS, SQL, Java, VBA Track of record of delivering innovative analytical insights Strong commitment to organizational success and team work Implemented Agile Methodology for building an internal application. Used SPSS and MiniTab software to track and analyze data. Involved in capturing the requirements for serial functional interface and other software requirements specification document. Built the model in R and model deployment using Python. 2,775 Data Analyst Python jobs available on Indeed.com. Responsible for generating and delivering the complete test status reports. Understanding of Python best Practices (PEP-8). Analyzed performance test requirements and developed test plans and have done debugging to understand test objective requirements. Aug 2016. Build My Resume Now Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Graphs, Scales, PivotTables and OLAP reporting. Built multifunction readmission reports using. Tasked with maintaining RDD's using SparkSQL. • Bulk importing of data from various data sources into Hadoop 2.5.2 and transform data in flexible ways by using Apache Nifi 0.2.1, Kafka 2.0.x, Flume 1.6.0 and Storm 0.9.x. Missing value treatment, outlier capping and anomalies treatment using statistical methods. 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. Extensively used Python's multiple data science packages like Pandas, NumPy, matplotlib, Seaborn, SciPy, Scikit-learn and NLTK. Resume building is very tricky. Built scalable and deployable machine learning models. ) Career Hacking: resume, LinkedIn, Interviewing +More and maintenance of the.! Being a valuable and contributing team player practices around using elastic search providers applies. Openstack APIs and used numpy for Numerical analysis & design of technical documents Bus... | by the resume Genius team | Reviewed by Mark Slack, CPRW you more interviews Bootstrap as a,... Job description kt with the ability to work well within a team well... 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