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Data Analyst Resume

SUMMARY:

  • I have excellent skills in Querying and data fetching.
  • I have around 7 years of hand on experience with SQL since my bachelors in computer science.
  • I have strong ability to multi - task on Projects.
  • At any given point of time, I usually handle 4-5 projects from work, academic, research and Competitions.
  • As a part of job at Confidential -ODS, I have extensively worked on SAS-EG, SAS- Miner, Visio, Tableau, Power BI.
  • I have taken statistical Data Mining here at Confidential as a part of my curriculum and worked extensively on Statistics and Machine Learning.
  • I have worked on around 7 projects here at Confidential which requires me to Mine, organize and analyze the data provided with data mining techniques.
  • I have extensively worked on R,SAS and Python in all the Projects.
  • I have Developed, Analyzed and presented various monthly and weekly reports using SQL and MS Office Tools as a part of my job at Confidential

TECHNICAL SKILLS:

Programming Languages: SQL, R-, Python, SAS, C, C++, C#, SAP-ABAP, PL/SQL, Java, JQL, T-SQL.

Technologies: Oracle 11g, Oracle 12c, My SQL, MS Access, SAP MM, SAP PP, SCM SNC.

Tools: Tableau, JIRA, Power BI, Qlik View, SAS E-Miner, SAS E-Guide, SAP Crystal Reports, SQL Developer, HP ALM.

Boot Camps: IBM Watson Analytics, Qlik Sense

EXPERIENCE:

Data Analyst

Confidential

Responsibilities:

  • Providing data, analysis and business solutions that inform leadership decision-making.
  • Supporting the continuous improvement of academic programs and administrative processes through assessment, accountability monitoring and administration.
  • Prepared weekly and monthly reports on student enrollment, their persistence and their academic performance matrix using SAS analytical suite and created customized interactive dashboards using Tableau/Power BI/Qlik Sense.
  • Automated SAS code for weekly and monthly reporting that reduced processing and execution time by 30%.
  • Exposure to Civitas Illume and Inspire data visualization software for analyzing student trends based on powerful predictors and documenting the insights obtained from them.
  • Performed data manipulation, cleansing, transformation and reporting using PROC SQL, PROC TRANSPOSE, PROC MERGE and PROC REPORT procedures to analyze course popularity and to obtain the course combinations that are most frequently enrolled by students.

Confidential

Supply Chain Business Analyst

Responsibilities:

  • Analyze the weekly and monthly supply chain reports and give recommendations to suite the business needs.
  • Validated the solutions provided by the consultants and test the solutions in Quality systems.
  • Organize business meetings for smooth transition of Business while on-boarding new suppliers.
  • Extraction and Presentation of status reports to the management quarterly on the progress of the project.

SAP SCM Techno Functional Consultant

Confidential

Responsibilities:

  • Provided Application Support for SCM SNC Application and Gained Experience as a Functional Consultant in reporting, Debugging and Application Functionalities.
  • Implemented Solutions for bugs, Tested Solutions in HP ALM and Released Changes to production on bi-weekly basis.
  • Performed Classification and Regression Analysis on Parkinson disease dataset from UCI Machine Learning Repository containing speech records from people with and without Parkinson.
  • Applied Linear SVM, KNN and Logistic Regression on the dataset after performing PCA and Cross-Validation on data.
  • Compared the Accuracies from Different Techniques and suggested method for this approach.
  • The same has been implemented in WEKA and R to cross check and accuracies and improve the efficiencies of the model.
  • Visualization for the mined and classified data has been provided through Python and Weka.

Tools: Used: Python, R, WEKA and Excel.

Confidential

SAP SCM Techno Functional Consultant

Responsibilities:

  • Performed Descriptive and Predictive Analytics on the dataset to check the probability of survival based on age, gender, marital status, size of the family, Class travelling, place boarded and title of the traveler
  • Implemented Exploratory Modelling and trained Random forest with a combination of different parameters from data.
  • Performed 3-fold Cross-validation to train the dataset and test the remaining one with the trained datasets.
  • Implemented Decision trees to efficiently understand the features of the model and Used Tableau to visualize the data.

Tools: used:R, Tableau, Predictive Modelling, Decision trees, Random Forests and Cross-Validation.Dataset

Confidential

Responsibilities:

  • Designed an Information System for Graduate Admissions with Agile Methodology balancing risk and agility.
  • Designed a Student Database of 50,000 records by generating data and Analyzed the performance of the database.
  • Used Analytics to Predict if the student would accept the admit comparing with the data from previous years.
  • Used Tableau to visualize various details of the data generated.

Tools: used: R, Tableau, ORACLE, Argo UML, SQL, Agile Principles and Excel.

Confidential

SAP SCM Techno Functional Consultant

Responsibilities:

  • Analyzed the Meteor Fall dataset from Confidential that contained data of meteorites fell and found on earth for past 100 years.
  • Predicted the mass of meteor, location of the meteor for the next year by using Boot strapping.
  • Also, analyzed the pattern of location change for meteor. Tools Used: R, Tableau and Excel Dataset-landings
  • Analyzed the nursing homes dataset and predicted the trend of the violations
  • Analyzed the Nursing Home data to provide recommendations to the state agency that administers audits
  • Analyzed and predicted the type of violations occurred in the past and that may occur in the future.
  • Prepared a Story in Tableau with the analysis done. Tools: R, Excel, SQL and Tableau. Dataset

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