senior analyst resume example with 5+ years of experience

(555) 432-1000,
Montgomery Street, San Francisco, CA 94105
Business Analytics graduate student with 5 years of international experience in Retail Analytics and Human Capital Management. Proficient in data analytics, visualization and project management. An energetic team leader with strong problem-solving skills.
University of Illinois Research Academy (SASTRA) Chicago Chicago Thanjavur, IL Expected in May 2018 Master's : Business Analytics Shanmugha Arts, Science, Technology - GPA : Business Analytics Shanmugha Arts, Science, Technology
, Expected in June 2011 Bachelor of Technology : Information and Communication Technology - GPA : Information and Communication Technology
R Language, Python, SAS, Spark, Java, HTML5, CSS, JavaScript, Unix, Infor-Workbrain, MySQL, Oracle PL/SQL, Access, Hive, SQL, Alteryx, Microsoft Power BI, Tableau, Cognos, MS Excel, Google Analytics, Hadoop, Cloudera, ServiceNow, Drupal, Camtasia Techniques: Logistic Regression, Linear Regression, Cluster Analysis, Supervised and Unsupervised Learning Algorithms.
Scientific Research Corporation - Senior Analyst
Orlando, , India 02/2012 - 11/2016
  • Forecasted revenue of 1200+ retail BestBuy stores which helped the store managers to effectively manage the budget.
  • Segmented the users using cluster analysis for efficient marketing during Thanksgiving sales.
  • Optimized budget allocated to the store to generate maximum revenue.
  • Analyzed the trends in historical data and optimized schedules for the Client's employees, thereby enhancing the productivity.
  • Data Visualization and Business Intelligence: Developed and customized reports such as Employee Productivity and Productivity Variance for the Senior Leadership using Cognos BI and SQL, which slashed manual efforts by 70%.
  • Designed a dashboard which interacts with the database to show the forecast sales for each store across all the regions.
  • Project Management and Leadership: Point of contact for client/project for delivery of workforce management(Workbrain) integrations.
  • Resolved high priority incidents on a timely manner and provided a prominent level of customer service.
  • Conducted knowledge transfer sessions as a Subject Matter Expert in Retail Analytics and Human Capital Management tools.
  • Managed a team in Manila, Philippines for multiple projects targeted to meet client expectations.
Norc At The University Of Chicago - Graduate Research Assistant
New York, NY, 03/2017 - 05/2018
  • Performed data querying and managed the existing website content on a regular basis.
  • Identified trends and patterns in the given data to present insights regarding customer behavior which improved user engagement and web traffic.
  • Collected and analyzed real-time web data to deliver data-driven performance reports.
Motorola Solutions - Data Science Intern
West Valley City, UT, 01/2018 - 05/2018
  • Devised an in-house analytics system to detect cases of health insurance fraud.
  • Formulated a scoring architecture that scores the claim, assesses the risk and eventually flags the fraudulent claims.
  • ACADEMIC PROJECTS Cluster Analysis | R: Effectively segmented markets based on purchase behavior and pricing strategies to design more cost- effective promotions targeted at appropriate segments.
  • Techniques: K-means, agglomerative and DBSCAN Clustering.
  • Targeted Marketing | RapidMiner, R ­ Fundraising: Developed and analyzed a model to improve the cost-effectiveness of National Veteran's Organization direct marketing campaign.
  • Improved the response rate to over 60% (which was originally at 5%).
  • Sentiment Analysis |Hadoop, Hive, R: Predicted customers' sentiment towards restaurants based on Yelp reviews.
  • Revenue Management | Excel, R: Used variable pricing, price differentiation and other segmentation strategies to capture the market which increased the revenue by 6.15%.
  • Proposed a solution that nullified the threat of cannibalization and arbitrage.
  • Data Visualization |Tableau: Analyzed the SkyWest Airlines data to understand the different flight delay metrics.
  • This involved extensive usage of Tableau Dashboard for data visualizations.
  • Statistics for Management | R: Built Statistical models to predict the factors affecting satisfaction of employees at a Federal Government Organization.
  • Competitor Analysis | SAS: Critically analyzed the performance of an airline against its 7 competitors using multi-variate data analysis.
Work History
Disability and Human Development Department -
, -
ACADEMIC, budget, BI, Business Intelligence, Clustering, Cognos, com, Competitor Analysis, CSS, Client, customer service, data analysis, Data Visualization, database, delivery, direct marketing, Drupal, Fundraising, Google Analytics, Government, HTML5, insurance, Java, JavaScript, Leadership, marketing, market, Access, MS Excel, Excel, MySQL, Oracle PL/SQL, predict, pricing, pricing strategies, Project Management and Leadership, Python, real-time, Retail, sales, SAS, SQL, Statistics, Tableau, Unix, website content

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School Attended

  • University of Illinois Research Academy (SASTRA)

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  • Master's
  • Bachelor of Technology

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