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Data Analyst Resume

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Wilmington, DE

PROFESSIONAL SUMMARY:

  • 1 year of industrial experience in SQL Development, Reporting and Business analytics.
  • Hands on experience in using TABLEAU, created advanced chart types, visualization and complex calculations to manipulate the data and developing work sheets for intuitive and innovative presenting by Tableau.
  • Extensive knowledge of advancedSASprocedures includingUNIVARIATE ANALYSIS, REGRESSION, ANOVA, CHI - SQUARE TEST, T-TEST, GRAPH AND PLOT.
  • Hands on Experience in using various SAS report generating procedures likePROC REPORT, PROC SQL, PROC FREQ, PROC MEANS, PROC TABULATE, PROC TRANSPOSE and PROC PRINT.
  • Hands on experience in SAS programming for extracting data fromFlat files,Excel spreadsheetsand externalRDBMS tablesusingLIBNAME.
  • Using Data pre-processing libraries performed Data cleaning, dealing with missing data and taken care of Categorical Variables, Splitting the data set and Feature scaling.
  • Strong ability to write SQL queries usingPROC SQL.
  • Hands-on experience writing SQL queries and Stored Procedures in Microsoft SQL Server Management studio.
  • Experience with Data Visualization using Tableau, Excel and Python.
  • Good knowledge and hands-on experience on using different libraries in Python for Data Analytics like Numpy, Pandas and Matplotlib.
  • Knowledge in predicting most impactable variables and trim the unwanted variables by feature extraction and feature selection algorithms.
  • Knowledge of SDLC’s like Waterfall, and Agile.
  • Good team player and quick-learner. Highly self-motivated person with good communication and inter-personal skills.

TECHNICAL SKILLS:

Technologies: Predictive modeling, Statistical Analysis, Data Mining, Data Analytics, Data Visualization.

Programming Languages: SQL, SAS, Python.

Data Analytics/Visualization: SQL, SAS-Base, SAS-Macros, SAS-SQL, SAS-ODS, Tableau Desktop, PowerBI, Excel.

Database: Microsoft SQL Server.

Operating Systems: Windows, Linux

PROFESSIONAL EXPERIENCE:

Confidential, Wilmington, DE

Data Analyst

Responsibilities:

  • Imported data from different sources in different formats such as Excel, CSV, and database file.
  • Helped create efficacy and safety analysis ready datasets for oncology studies.
  • Generated tables, listings, and graphs using PROC REPORT and PROC GPLOT.
  • Produced SAS outputs in RTF, PDF, CSV and HTML formats using Output Delivery System (ODS) facility.
  • Created interactive dashboards using input from different cross-functional teams through Tableau to identify problem areas and initiate action for improvement.

Confidential, Livermore, CA

Proctor (CSR) & Data Analyst

Responsibilities:

  • Perform daily data queries and prepare reports on the daily, weekly, monthly and quarterly basis.
  • Use advanced Excel functions to generate spreadsheets, pivot tables, and vlookup tables.
  • Heavy SQL queries including complex joins, nested queries, stored procedures, common table expressions (CTEs) etc. were being used for Integration and Management of data.
  • Data migration tasks were accomplished via SQL Server Integration Services (SSIS). Featuring tool for data Extraction, Transformation, and Loading (ETL).
  • Additionally, SSRS & Tableau were being used for data visualization and tracking KPIs.

Confidential

Project Assistant

Responsibilities:

  • Gained working experience in writing SQL queries for different validation Purposes.
  • Writing the test cases and executing them.
  • Developed functions, procedures and packages to implement the system’s business logic using Microsoft SQL.
  • Created different spreadsheets and dashboards to visually analyze data using Tableau and Excel.

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