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Analyst Resume

Chicago, IL

KNOWLEDGE & SKILLS:

  • Proficient in Python, SAS BASE\EG (SQL, Macro), R, SQL, Tableau, CRM
  • Working experience in Data Visualization, Data Manipulation, Model Building, Model Optimization, Project Management and Client Facing
  • Knowledge in Financial Risks, Machine Learning, Deep Learning and Optimization

WORKING EXPERIENCE:

Confidential, Chicago, IL

Analyst

Responsibilities:

  • Performed statistical analysis to develop report through cleaning data, calculating Per Capita Cost, building predictive model, doing discount and liability analysis, and organizing assumption study after identifying client’s need by client facing
  • Designed queries to perform data mining, analytics and data extracts across client provided database using various statistical tools and developed ad hoc projects as client’s need
  • Increased the size of company’s client base by 20% through analyzing 20K+ client data by building up logistic regression model
  • Improved company internal system’s efficiency by 50% in three months by designing and executing workflows, advantage found queries, and reports in CRM through building connections with Outlook and MS Calendar
  • Analyzed 80+clients’ investment portfolio on time to manage cash flow for client’ need

Confidential

Analyst

Responsibilities:

  • Built multilabel logistic regression to automatically classify items in a school’s budget under sklearn python library
  • Applied multiple statistical skills: combining text variables by Natural Language Processing, transforming combined text - variable by hashing function, using Pipelines workflow, and validating model by loss function

Confidential

Analyst

Responsibilities:

  • Constructed Neural Network model by following specify-compile-fit workflow under keras python library
  • Optimized model by setting validation split and early stopping, experimenting with different architectures and optimizing model capacity

Confidential

Analyst

Responsibilities:

  • Assembled logistic regression and decision trees to predict default rate for future client of the loan company
  • Evaluated and compared the results obtained through two credit risk models based on strategy table and strategy curve

Confidential

Analyst

Responsibilities:

  • Worked on exploratory data analysis for votes dataset from Confidential Congressmen Run K-Nearest Neighbors model to predict party affiliation and built the model complexity curve to avoid overfitting and underfitting issue
  • Explored and visualized relationship among different features of Gapminders data by experimenting with sliders and dropdown menus, coloring each circle glyph for group data, setting legend location attribute of the plot and adding hover tool to display more detailed information for each scatter point
  • Examined and optimized the existing Access database design by normalized tables
  • Converted Access database tables and structures to SQL Server database tables and structures
  • Enhanced the database design to include the ability to track computer equipment and assistance requests

Confidential, Bowling Green, OH

Instructor

Responsibilities:

  • Taught Introduction to Statistics to 200+ undergraduates for three semesters where 95% of students achieved an ‘A’

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