Data Analyst - Python

Company: Promantus, Inc
Location: Plano, Texas, United States
Type: Full-time
Posted: 04.SEP.2021
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Summary

Position: Data Analyst Location: Plano, Texas (Remote until COVID) Duration: Longterm * Highly efficient Data Scientist/Data Analyst with...

Description

Position: Data Analyst

Location: Plano, Texas (Remote until COVID)

Duration: Longterm

  • 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. Adept in statistical programming languages like R and Python including Big Data technologies like Hadoop, Hive.
  • 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.
  • Adept and deep understanding of Statistical modeling, Multivariate Analysis, model testing, problem analysis, model comparison, and validation.
  • Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data.
  • Skilled in performing data parsing, data manipulation and data preparation with methods including describe data contents, compute descriptive statistics of data, regex, split and combine, Remap, merge, subset, reindex, melt and reshape.
  • 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.
  • Extensive experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau.
  • Hands on experience with big data tools like Hadoop, Spark, Hive, Pig, PySpark, Spark SQL,PySpark Hands on experience in implementing LDA, Naive Bayes and skilled in Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, neural networks, Principle Component Analysis.
  • 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.
  • Good industry knowledge, analytical &problem-solving skills and ability to work well within a team as well as an individual.
  • Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data.
  • Able to implement row level security on data and understand application security layer models in Power BI.
  • Proficient in making DAX queries in Power BI desktop.
  • Ability to configure and run Python scripts on Power BI.
  • Experience and Technical proficiency in Designing, Data Modeling Online Applications, Solution Lead for Architecting Data Warehouse/Business Intelligence Applications.
  • Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Graphs, Scales, PivotTables and OLAP reporting.
  • Highly skilled in using Hadoop (pig and Hive) for basic analysis and extraction of data in the infrastructure to provide data summarization.
  • Highly skilled in using visualization tools like Tableau, ggplot2, dash, flask for creating dashboards.
  • 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.
  • Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills.
  • Extensive experience in Data Visualization including producing tables, graphs, listings using various procedures and tools such as Tableau.
- provided by Dice

 
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