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                                                Candidate's Name
         Street Address .409.0763 | EMAIL AVAILABLE | Chicago, IL | https://LINKEDIN LINK AVAILABLE


                                                          PROJECTS


Data/Research Analyst                                                                                   December Street Address  - Present
The University of Chicago The Center of Health and the Social Sciences, Chicago, IL

Applying statistical methods and economic concepts utilizing big data to make data driven decisions in STATA, SAS, and R..
Leveraging technical and programming skills to gain insight from Healthcare datasets at The University of Chicago Medical Center.
      Emphasis on model building, (linear regression, logistic regression, confusion matrices, classification methods.).
      Use of predictive analytics to evaluate the accuracy of methods.
      Data visualization and group presentations, (team building).
      Data modeling, descriptive and summary statistics, histograms, box plots, STATA, SAS, and R-programming familiarity.
      Confidence Intervals, ANOVA tests.
      Big Data manipulation/modifying Big Datasets.
      Project leads.

Research Project (Credit)                                                                          August 2022 - December 2022
University of Illinois - Chicago MURL Fall 2022 Research Project, Chicago, IL

Applying Machine Learning and Neural Network techniques to games utilizing big data to make data driven decisions in python.
Recent college graduate with plans to work as a Data Scientist. Leveraging technical and programming skills to transfer to Data
Science.
       Leveraging machine learning methods to strategize players to make the best decision to win.
       Creating neural network algorithms to optimize best decisions.
       Team-work based strategies to perfect code and algorithms.



                                     EDUCATION & CERTIFICATIONS


University of Illinois-Chicago, Chicago, IL                                                  January 2020 - December 2022
B.S. Applied Mathematics; Concentration in Applied Statistics; Electives in Economics
                Graduated with Honors in the College, Member of the Math Club, Member of the Mathematics, Statistics, and
                   Computer Science MURL Research Project: Machine Learning and Games.
                Relevant Coursework: Applied Statistical Methods I & II (in R), Statistical Methods and Computing (in R and
                   SAS), Elementary Statistical Techniques for Machine Learning and Big Data (in R), Statistics for Economics,
                   Econometrics (in R and STATA), MSCS Research (in python).


                                                TECHNICAL SKILLS


         Python: tensorflow, numpy, pandas, jupyter notebook, machine learning/neural networks. Basic level of Python
         knowledge
         R-programming: statistical analysis, data visualization, machine learning. Advanced level of R-programming knowledge.
         Excel: imported and exported data from text files, Formatted spreadsheets and workbooks for print, document
         reproduction, and presentations. Basic level of Excel knowledge.
         SAS and STATA: statistical analysis, regression analysis, model building.

I am a fast and enthusiastic learner who enjoys synthesizing large amounts of research and data insight into a concise and robust
story for presentations to stakeholders and whitepapers.