We provide IT Staff Augmentation Services!

Full Stack Developer Resume

4.00/5 (Submit Your Rating)

Dallas, TX

SUMMARY

  • Qualified, proficient and thorough analytic professional with experience in software development applied to technical data analysis with various forms of data.
  • Worked closely with departmental managers to produce precise reports that significantly contributed to business growth.
  • Experienced with report preparation and effective delivery of analytic solutions.
  • Natural orientation towards gaining insight from data, software development and taking up fresh challenges.
  • Experienced in data visualization and dashboarding tools such as Tableau and Qlik.
  • Strong communication & interpersonal skills gained through working as a Floor Senator, Hilltop Council during academic career.

TECHNICAL SKILLS

  • R, MATLAB
  • MS SQL
  • Tableau
  • Hadoop
  • Py Spark
  • PIG
  • HIVE
  • Linear/Logistic Regression
  • Python
  • Javascipt
  • HTML
  • CSS
  • PHP

PROFESSIONAL EXPERIENCE

Full Stack Developer

Confidential, Dallas, TX

Responsibilities:

  • Worked with HQ Data Analytics and Reporting Team (DARTH) to build tools to generate automated reports accessible by project managers and other authorized users.
  • Built a list editor/administrator using Javascript, HTML, CSS and bootstrap framework on the front end.
  • Included backend connection to fetch, query and stream data to list editor using PHP and python scripts
  • Added functionalities for different national level project managers to edit their reports and write changes back to database from within the list editor and generate automated reports and dashboards utilizing similar javascript and bootstrap framework.
  • Used D3 library in javascript to create dashboards connected to Oracle database via python scripts.
  • Worked on MS SQL server management studio for creating DB & writing scripts for analysis and filtering.

Big Data Developer

Confidential, Richardson, TX

Responsibilities:

  • Developed code in Spark framework using Scala and PySpark for streaming data from MySQL to HDFS, perform transformations and analysis and stream it back.
  • Worked in a linux based environment to create dashboard design and layout using Apache Spark, Pig, HIVE and other big data programming languages.
  • Used ShinyR dashboard library for dashboarding telecom data to help pin down on low performing sites and test equipment that need recall.
  • Exploratory analysis and development of algorithms in R for data mining and analysis.
  • Provided backend connections to hive, HDFS and mySQL tables to provide fast and query - able access to big data on the fly.
  • Wrote several scripts in PIG, HIVE to filter/map/aggregate data and used scoop to transfer data from (and to) Hadoop data-lake.
  • Worked on front-end dashboard design and layout using Spark data streaming in IntelliJ, SQL query fetching, HTML, Java Web Service AWS, REST APIs etc.
  • Big data-lake streaming automation using batch job submission using HIVE query fetching by JSON protocol and map-reduce RDD’s in spark.
  • Modified and created complex SQL-based queries to access explore and pull data from multiple sources, responsible for data acquisition and maintenance of in-house Tapas data stored in a Hadoop database.
  • Conducted app testing for android and iOS platforms
  • Performed regression as well as functional testing
  • Validate data in hive tables with NoSQL queries

Telecom Data Analyst

Confidential, Richardson, TX

Responsibilities:

  • Clean, merge & organize data sets with thousands of variables.
  • Write python code to automate the process of fetching, cleaning and organizing datasets stored in various databases.
  • Developing computing algorithms in R (shinyR) and python to provide analytical solutions in the form of automated dashboards.
  • Project management of system architecture and design for various businesses cases.
  • Query company databases using SQL and write programs to manipulate data as needed.
  • Provide visualization and dashboard style display of sites tested and various related parameters using Tableau.
  • Use techniques like decision tree model, artificial neural network model, naïve bayes probability model, regression models for classification and prediction.

We'd love your feedback!