LiveCareer-Resume

data analyst resume example with 4+ years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
  • Home: (555) 432-1000
  • Cell:
  • resumesample@example.com
Professional Summary

Well-qualified Data Scientist experienced working with vast data sets to break down information, gather relevant points and solve advanced business problems. Skilled in predictive modeling, data mining and hypothetical testing. Offering 4+ years of experience in improving business operations.

Skills
  • Python
  • R
  • MATLAB
  • C#
  • Tools
  • PowerBI
  • Tableau
  • MS Excel
  • MS Office
  • Databases
  • MS SQL
  • T-SQL.
  • Advanced SQL for Data science
  • ETL: SSIS
  • SSRS
  • Visual Studio
  • Crystal Reports
  • SAP Lumira
  • Data visualization
  • Matplotlib
  • Seaborn
  • ggplot
  • Shiny
  • PowerBI
  • Tableau
  • Deep Learning
  • Numpy
  • Pandas
  • Tensorflow
  • Keras
  • Cloud - AWS
  • Javascript
  • HTML
  • RestAPI
  • JSON
  • XML
  • Google Analytics
Work History
Data Analyst, 09/2020 to Current
Vmly&RRogers, AR,
  • Developed automated business Intelligence dashboard using Python, SQL and PowerBI, Internal as well as customers specific.
  • Automated customer segmentation and pricing.
  • Script inventory optimization programs improving efficiency and cost to serve.
  • Develop and manage dynamic pricing model and revenue optimization model against capacity and operating constraints for warehousing in R.
  • Analyzed historical data and market research data to build demand forecasting models.
  • Conducted simulation of productivity analysis to understand and achieve optimized profit making for the business.
  • Manage data science project lifecycle to develop predictive or prescriptive analytical solutions.
  • Present reports for clients and potential customers that explain data technical work enabling customer understanding of project scope.
Programmer/Natural Gas Analyst, 08/2019 to 09/2020
Vmware, Inc.Columbus, OH,
  • Developed, maintained and improved the internal dashboard built in R to improve business intelligence efforts and process.
  • Built analytics database and processes of daily scheduled scripts being updated properly with daily settlements and other data.
  • Defined, designed, prototyped, and implemented complex exploratory analyses mathematically within the business context.
  • Developed demand forecasting models for transport and storage optimization.
  • Worked with the Director of Risk on predictive modelling projects as needed to provide effective company-wide risk management tools.
  • Performed model validation, testing and optimization.
  • Developed statistical, machine learning models using Python.
  • Provided support across all departments, including trade floor, scheduling, accounting and actualization, such as sourcing data from pipeline EBB websites, assisting with automation of data into/ from spreadsheets, creating spreadsheets, etc.
  • Automated daily P&L information and developed tools to improve the current process.
  • Maintained documentation on data sources, scoring and decisioning processes.
  • Developed a process to track the estimated P&L versus the final P&L by book and identify reasons for discrepancies; offer solutions to reduce the errors.
  • Analyzed statistical data and pipeline EBB information and build tools to acquire the data.
  • Managed the daily maintenance requirements of ETRM system.
  • Developed, maintained and pulled reports from MySQL database as needed.
  • Worked with other analysts on team to develop statistical models and optimization algorithms.
  • Worked with other analysts on team to update, maintain and improve the existing trading optimization programs built in R.
  • Primary contact working with external IT vendor for most IT needs.
Data Analyst, 06/2017 to 01/2018
T.I.M.ECity, STATE,
  • Created and analyzed quotes and bids according to Sales and customer needs, competitive information and company objectives.
  • Developed customer specific pricing structures based on multiple criteria including market, competition, product mix and margin guidelines.
  • Generated comprehensive analytical reports by running SQL Queries against current databases to conduct data analysis.
  • Experienced in developing business reports by writing complex SQL queries using views, volatile tables.
  • Designed, developed and maintained daily and monthly summary, trending and benchmark reports in Tableau Desktop ACADEMIC PROJECT Google G Store.
  • Cleaned and Analyzed data of G store by taking data from Kaggle.
  • Designed a database model to fit the G store data and its requirements.
  • Run SQL queries to retrieve data required for fitting models and analysis.
  • Hotel Expedia Project.
  • Cleaned and performed exploratory analysis of the Kaggle competition dataset.
  • Implemented unsupervised and supervised machine learning models in R and Python.
  • Predicted whether a customer will or will not book the hotel based on his search and search.
Assistant System Engineer, 08/2015 to 05/2017
TATA CONSULTANCY SERVICES PVT LTDCity, STATE,
  • Analysis of business requirements of the KPIs (Key performance Indicators) and understand their representation of the product usage and user interaction real time.
  • Performed data extraction, manipulation, cleaning, analysis, modeling and data mining using Python.
  • Augmented company's machine learning and statistical modeling effort including building predictive models and generate data products to support customer segmentation, product recommendation and allocation planning, prototyping and experimenting ML algorithms and integrating into production for different business needs.
  • Performed Data Cleaning, features scaling, features engineering using pandas and numpy packages in python and build models using deep learning frameworks.
  • Used classification techniques including Random Forest and Logistic Regression to quantify the likelihood of each user referring.
  • Designed and implemented end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau, Power BI.
Education
M.S: Business, Expected in to The University of Texas - Dallas, TX
GPA:
Bachelors: Electrical and Electronics Engineering, Expected in to - ,
GPA:

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Resume Overview

School Attended

  • The University of Texas

Job Titles Held:

  • Data Analyst
  • Programmer/Natural Gas Analyst
  • Data Analyst
  • Assistant System Engineer

Degrees

  • M.S
  • Bachelors

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