Summary
Overview
Work History
Education
Skills
MVP Data Scientist Award
Software
Work Preference
Work Availability
Timeline
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David Annas

Drexel,MO

Summary

Adept at leveraging Python/R programming and analytical thinking, I significantly enhanced predictive model accuracy and automated tasks at Sifted. My expertise in big data analytics and machine learning, combined with a knack for solving complex problems, drove impactful business decisions by uncovering key customer behavior trends.

Overview

8
8
years of professional experience

Work History

Data Scientist

Sifted
02.2019 - Current
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
  • Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
  • Designed interactive dashboards and reports, providing real-time business intelligence to stakeholders.
  • Enhanced predictive model accuracy by refining algorithms..
  • Analyzed large datasets to identify trends and patterns in customer behaviors.
  • Modeled predictions with feature selection algorithms.
  • Devised and deployed predictive models using machine learning algorithms to drive business decisions.

Data Analyst

Myers & Stauffer
02.2017 - 02.2019
  • Managed large-scale databases to ensure timely access to critical information for key stakeholders.
  • Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
  • Improved data visualization techniques, making insights more accessible to non-technical stakeholders.
  • Developed and maintained data pipelines for seamless flow of information, ensuring timely availability for audit reports.

Education

Master of Science - Statistics And Analytics

University of Kansas
Kansas City, MO
12-2018

Bachelor of Science - Applied Mathematics

Evangel University
Springfield, MO
05-2014

Skills

  • Python/R programming
  • Big data analytics
  • Data wrangling
  • Data mining
  • Statistical analysis
  • BI tools expertise
  • Time series analysis
  • Problem-solving
  • Analytical thinking
  • Predictive modeling
  • Machine learning
  • SQL databases

MVP Data Scientist Award

Was awarded the MVP award in 2023 on the Data Science team based on outstanding performance.

Software

RDS, Snowflake, Databricks

Work Preference

Work Type

Full Time

Work Location

Remote

Important To Me

Career advancementWork-life balanceWork from home option401k match

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Data Scientist

Sifted
02.2019 - Current

Data Analyst

Myers & Stauffer
02.2017 - 02.2019

Master of Science - Statistics And Analytics

University of Kansas

Bachelor of Science - Applied Mathematics

Evangel University

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David Annas