LiveCareer-Resume

business analyst resume example with 3+ years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
  • H: (555) 432-1000
  • C:
  • resumesample@example.com
  • Date of Birth:
  • India:
  • :
  • single:
  • :
Education
Master of Science: BUSINESS, Expected in 12/2023
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Kent State University, ANALYTICSKLU - Kent, Vijayawada, OH
GPA:
Status -
BBA: Business Analytics, Expected in 05/2020
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Princeton University - Princeton, NJ
GPA:
Status -
Professional Summary

Over 2+ years of functional experience in the field of project management Profound ability to interface and coordinate project scopes Highly experienced in tracking and reporting on specific projects and assumed deadlines Reliable and hardworking project coordinator with exceptional communication and organizational skills. Detail - oriented strategist experienced in the areas of program planning and execution. Knowledge of the Software Development Life Cycle (SDLC) phases such as Planning, Analysis/Design, Development, and Testing for the software/system development process. Initiated Agile Scrum in several projects and planned daily scrum meetings. In depth knowledge in documenting requirements changes using Traceability matrix and Team Foundation Server. In depth knowledge of coordinating activities between the R&D, marketing and operations departments Dedicated to completing a project on time and under budget Strong managerial skills and excellent team player

Skills
  • Solid organizational skills, including multitasking and time-management
  • Strong working knowledge of
  • Microsoft Project
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word & Outlook)
  • PROGRAMMING LANGUAGES
  • Python, R , Power BI,
  • SKILLS
  • Tools and Technologies: R
  • SAS
  • E views
  • Lingo and Productivity Tools (Microsoft Word
  • Excel
  • PowerPoint
  • Expressions Web and Photoshop). Novice for Python
  • Java
  • SQL.
Work History
Business Analyst, 07/2020 - 12/2022
Associated Bank Eau Claire, WI,
  • Developed and implemented predictive models using Natural Language Processing Techniques and machine learning algorithms such as linear regression, classification, multivariate regression, Naive Bayes, Random Forests, K-means clustering, KNN, PCA and regularization for data analysis
  • Designed and developed Natural Language Processing models for sentiment analysis
  • Applied clustering algorithms i.e., Hierarchical, K-means with help of Scikit and Scipy
  • Developed visualizations and dashboards using ggplot, Tableau
  • Worked on development of data warehouse, Data Lake and ETL systems using relational and non-relational tools like SQL, No SQL
  • Built and analyzed datasets using R, SAS, MATLAB and Python (in decreasing order of usage)
  • Participated in all phases of datamining; data collection, data cleaning, developing models, validation, visualization and performed Gap analysis
  • Data Manipulation and Aggregation from different source using Nexus, Toad, BusinessObjects, Power BI and SmartView
  • Implemented Agile Methodology for building an internal application
  • Good knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, Secondary Name Node, and MapReduce concepts
  • As Architect delivered various complex OLA databases/cubes, scorecards, dashboards and reports
  • Programmed a utility in Python that used multiple packages (SciPy, NumPy, pandas)
  • Implemented Classification using supervised algorithms like Logistic Regression, Decision trees, KNN, Naive Bayes
  • Used Teradata15 utilities such as Fast Export, MLOAD for handling various tasks data migration/ETL from OLTP Source Systems to OLAP Target Systems
  • Maintenance in the testing team for System testing/Integration/UAT
  • Involved in preparation & design of technical documents like Bus Matrix Document, PPDM Model, and LDM & PDM
  • Understanding the client business problems and analyzing the data by using appropriate Statistical models to generate insights
  • Environment: R 3.0, Erwin 9.5, Tableau 8.0, MDM, QlikView, ML Lib, PL/SQL, HDFS, Teradata 14.1, JSON, HADOOP (HDFS), MapReduce, PIG, Spark, R Studio, MAHOUT, JAVA, HIVE, AWS.
System Analyst,Intern, 05/2020 - 07/2020
Harris County La Porte, TX,
  • Aggregate all available information about the customer
  • The data that is obtained for predicting the churn is classified in the following categories
  • Demographic data, such as age, gender, education, marital status, employment status, income, home ownership status, and retirement plan
  • Policy-related data, such as insurance lines, number of policies in the household, household tenure, premium, disposable income, and insured cars
  • Claims, such as claim settlement duration, number of claims that are filed and denied
  • Complaints, such as number of open and closed complaints
  • Survey sentiment data
  • Sentiment scores from past surveys are captured in the latest and average note attitude score fields
  • The note attitude score is derived from customer negative feedback only
  • If the note attitude is zero, the customer is more satisfied while as the number increases, satisfaction level decreases
  • Responsible for building data analysis infrastructure to collect, analyze, and visualize data
  • Data elements validation using exploratory data analysis (univariate, bivariate, multivariate analysis)
  • Missing value treatment, outlier capping and anomalies treatment using statistical methods
  • Variable selection was done by making use of R-square and VIF values
  • Deployed Machine Learning (Logistic Regression and PCA) to predict customer churn
  • Environment: Statistical tools: R - 3.3.0, Python 3.0, SQL Server, MS-Excel, MS-PowerPoint.
Production Manager, Intern, 05/2019 - 08/2019
Viswa Teja Spinning Mills, PVT. City, STATE,
  • Managed the releases of new versions of AOL's desktop software, which was used by consumers to access personal email, use AIM to instant message with friends, or browse the web
  • Collaborated with advertising team to verify correct ad inventory, ensure ads were properly displayed and fix any problems that occurred
  • Led a 10 person cross-functional team, including working with a third-party engineering team, to release AOL Easy Transfer
  • This product transfers email from one or more third-party email accounts to a specified AOL account
  • Authored Product Requirements Documents (PRDs) in the planning and requirements gathering phases of the SDLC
  • Routinely presented the current status of existing products in the field, the goals and objectives being met with upcoming product releases, and product roadmap updates to senior management
  • Offered product/project management and technical services for start-ups, and non-profit organizations
  • Employed a css/xhtml platform solution to build a more dynamic site with audio, flash video and web2.0 content, including podcasts and links to Facebook
  • Led and managed the releases of Aperture's Maintenance and Support team which is responsible for small fixes and improvements in the current products
  • Owned Aperture's Jira backlog and was responsible for prioritizing and classifying items as long term major projects or short term product improvements
  • Created requirements documents used by the engineering team to build products
  • Delivered monthly updates of features and highlights of current and upcoming releases to Aperture sales team and senior management.
Marketing Intern, 05/2018 - 08/2018
Signum Digital Networks.pvt.Ltd, City, STATE,
  • Conducted a survey study on the feasibility of selling Broad Band services to Consumers we used SPSS to do the data analysis
  • Project for Market Research class on “How to improve the business of Signum Digital Networks ”, used SPSS to do the analysis
  • Interdependence of search variety and willingness to pay for consumers among different types goods”, used Access(SQL) to do the data mining, used SPSS to do the panel data analysis
  • Designed an Experiment to test how cost affect consumer choice between hedonic and utilitarian goods, SAS for analysis
  • Used R(statistic software) to simulate the consumer rating data
  • Used R to implement a model to analyze the simulated data
  • Information measures of Dirichlet Distribution with applications”, with Ehsan Soofi
  • Published in Applied Stochastic Models in Business and Industry.

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Resume Overview

School Attended

  • Kent State University, ANALYTICSKLU
  • Princeton University

Job Titles Held:

  • Business Analyst
  • System Analyst,Intern
  • Production Manager, Intern
  • Marketing Intern

Degrees

  • Master of Science
  • BBA

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