data analytics practitioner resume example with 5 years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
  • Home: (555) 432-1000
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· Above 5+ years of extensive IT experience in the field of Data Science, Business Data Analysis and Data Analytics.

· Self-directed professional development in Machine Learning, Statistical Analysis, and Data Visualization.

· Real-world statistical analysis and visualization skills in Python, R.

· Manipulating and mining meaningful data from large sets of structured, semi - structured and unstructured data. Knowledge of mathematical, data science and machine learning concepts.

· Able to formulate a solution strategy to data science problems, apply exploratory analysis to identify abnormalities in data and utilize appropriate set of algorithms., Experimental Design and Analysis, Data Analysis, Machine Learning, Data Visualization, I enjoy tackling complex challenges and searching for answers through the use of predictive analytics.

· Developed Complex database objects using Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL.

· Developed reports, dashboards using Tableau for quick reviews to be presented to Business and IT users.

· I look forward to using my skill set to provide insights that solve real business problems.


SPARK, Hive,Hadoop,AWS EMR,PySpark,SparkSQL,


Python (NumPy, pandas, NLTK, Scikit-learn, Matplotlib), SQL

NumPy, Beautiful Soup, Scikitlearn, PyTorch, Keyring, Matplotlib, Keras, Pandas, Spark ML, Seaborn, Tkinter, NLTK, Dlib, CMake, OpenCV, TensorFlow.

Machine Learning: Linear Regression, Clustering, Boosting, Deep Learning, Recommendation System, Web scraping, API (Beautiful Soup), Python, Jupyter Notebook, Classification models, Support Vector Machine (SVM), Time Series, Market-Basket Analysis, intervals, Neural Networks using TensorFlow, Keras, Convolutional Neural Networks (CNN), KNN, Naive Bayes, NLP, Image Recognition, Face Recognition, Google Machine Learning Engine.

Data Analytics Practitioner, 07/2021 to Current
ExperianTn 37214, TN,

Develop processes and applications that will help validate the functionality and accuracy of a large health insurance company's migration to new enrollment and billing platforms.

work through a backlog of defects and enhancements on an application that compare data across a variety of different data models.

develop queries which extract data across 80+ critical business data elements to serve as an input for the aforementioned python application.

visualize the results of comparison output for business teams to understand key drivers for defects in migration logic.

Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle

Perform structural modifications using Map - Reduce, HIVE and analyze data using visualization/ reporting tools.

Developed Scala scripts using both Data frames/SQL/Data sets and RDD/MapReduce in Spark for Data Aggregation, queries and writing data back into OLTP system through Sqoop.

Extract Real time feed using Kafka and Spark Streaming and convert it to RDD and process data in the form of Data Frame and save the data as Parquet format in HDFS.

Data Analyst/Data Scientist, 10/2018 to 06/2021

Leads effort in establishing and maintaining standards for managing areas of model risk, development and implementation, governance and documentation, and model performance.

Designs and builds data structures, data mappings, data standards, and information delivery systems for Business and IT units. Designs and delivers data reports, reporting systems and dashboard content.

Data aggregation, Data pre-processing, Missing value imputation, descriptive and inferential analysis to calculate the relevance of existing search engine.

Analyzed large data sets apply Machine Learning techniques and develop predictive models, statistical models and developing and enhancing statistical models by leveraging best-in-class modeling techniques.

Explored and visualized data to check pattern, distribution, descriptive statistic, and correlation using Python, Matplotlib, and Seaborn.

Worked on Scala code base related to Apache Spark performing the Actions, Transformations on RDDs, Data Frames & Datasets using SparkSQL and Spark Streaming Contexts.

Data Modeling Analyst, 10/2016 to 09/2018
Cigna HealthcareCity, STATE,

Provides statistical analysis and reporting for IT and Business management review and provides recommendations for automation and productivity gains.

Used Tableau Analytic tool to visually present the data according to the client’s need.

Created PL/SQL stored procedures, functions and packages for moving the data from staging area to data mart.

Creation of dynamic dashboards in Power BI and Python scripts integrated with SQL server.

Contributed from design to implementation and maintenance phase of the application in Waterfall environment/methodology.

Education and Training
Master of Science: MSITM, Expected in 07/2019 to Campbellsville University - Campbellsville, KY

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Resume Overview

School Attended

  • Campbellsville University

Job Titles Held:

  • Data Analytics Practitioner
  • Data Analyst/Data Scientist
  • Data Modeling Analyst


  • Master of Science

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