We provide IT Staff Augmentation Services!

Data Scientist & Big Data Developer Resume

3.00/5 (Submit Your Rating)

Richardson, TexaS

SUMMARY:

  • Qualified, proficient and thorough analytic professional/Scientist with long experience in software development applied to data mining, statistical data analysis, and machine learning 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.
  • Worked in advance Machine Learning, multivariate regression, predictive analytics, data visualization, statistical analysis of large scale datasets, hypothesis testing and anomaly detection.
  • Natural orientation towards gaining insight from data, software development, taking up fresh challenges and dealing with new problems.
  • Worked on integration of diverse mathematical and statistical procedures, pattern recognition, model building, creating various scientific and industrial packages within R.
  • Parallel processing on big data in Hadoop framework. Worked on several Hadoop eco - system products like CloudR, PIG, HIVE etc.
  • Very strong communication and interpersonal skills gained through working in international collaborative environment composed of people from various cultural and social backgrounds.

TECHNICAL SKILLS:

  • R, C++, MATLAB
  • Hadoop, Spark, RHadoop, PIG, HIVE
  • Linear/Logistic Regression, (Un)Supervised machine learning
  • Linux, Mac OS, Shell scripts, GitHub

PROFESSIONAL EXPERIENCE:

Confidential, Richardson, Texas

Data Scientist & Big Data Developer

Responsibilities:
  • Tested and developed several machine learning predictive models to sort out long standing issue of indoor vs. outdoor data classification.
  • Cleaned, merged & organized data sets with thousands of variables.
  • Tested many machine learning techniques like decision tree, random forest, artificial neural network, naïve Bayes probability model, regression models for classification and prediction.
  • Performed extensive exploratory statistical analysis and used un-supervised machine learning clustering methods to understand data.
  • Developed computing algorithms in R and python, then worked together with software engineers to provide analytics solutions into automated dashboards.
  • Project management of system architecture and design for various businesses cases.
  • Written several scripts in JSON, PIG, HIVE to filter/map/aggregate data and used scoop to transfer data from (and to) Hadoop data-lake.
  • Developed code in Spark framework map-reduce way using py-spark for UI and dashboard display analysis. Used Apache Zeppelin for visualization.

Data Analysis

Confidential

Responsibilities:
  • Study of various RF parameters in the several terabytes of telecom data and total test time taken by each event for stationary testing.
  • Exploratory analysis, data wrangling and development of algorithms in R for data mining and analysis.
  • Worked with RF engineers to understand the relationship and importance of various variables and then looked for anomalies in data.
  • Helped to pin down on low performing sites and test equipment that needed recall.
  • 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. Worked on MS SQL server management studio for creating DB & writing scripts for analysis and filtering.
  • Helped in creating front end dash board using data streaming, SQL query fetching, HTML, Java Web Service SOAP, REST APIs etc.

ProPL model development 

Confidential

Responsibilities:
  • Studied financial data to understand the data flow, model implementation.
  • ProPL package development in R and testing
  • Project manager for the validation of the library and R/python codes.
  • Visualization of time-series data, linear regression, decision tree, ARIMA modeling and integration into ProPL platform.
  • Worked on documentation of functions and flow of the package and data processing
  • Helped in system architecture and design by projecting capital levels under different economic scenarios.
  • Worked on text mining, string manipulation, API user interface.

Confidential, Dekalb, IL

Analysis of Static and Dynamical Structure of Biomaterials

Responsibilities:

  • Synchrotron x-ray scattering images from biomaterials were collected and data was cleaned and normalized by performing background subtraction to obtain averaged intensity-q plots.
  • Data processing involved background subtraction, radial averaging, binning pixel data, using simple linear regression model to predict the volume fraction and finally comparison to existing hard sphere model of colloidal systems.
  • Initial prediction of real space profile using a sum of Gaussian shells, best fit was obtained using complex nonlinear optimization programming.
  • Developed various instruments, software tools and created various packages within R for Bio-physics research in general and for graduate students.

Environment: MATLAB, R, Java, MS SQL, Time Series, C++

Confidential

BW Associate Consultant

Responsibilities:

  • Document reporting to the needs of the business service and support organization and disseminate those requirements into a data warehouse strategy resulting in both operational and analytical reporting.
  • Data modeling using ERM and extended star schema model.
  • Developed ODS and InfoCubes for sales and controlling areas like procurement, cost center, order status and sales overview.
  • Set up source systems to load both SAP/R3 and non-SAP transaction data to BW.
  • Written routines (start routines, update routines) using ABAP in update rules and transfer rules to update key figures in the InfoCubes.

Confidential, CA

BW Associate Consultant

Responsibilities:

  • As a team member involved in all the phases of BI 7.0 Implementation.
  • Created and administered various Info objects, info cubes, DSO.
  • Loaded Attribute Data, Text Data, Transaction Data, ERP source systems for Financial, Sales, CRM, SCM, PLM and HCM scenarios.
  • Data acquisition from BI Data Sources using File Interface/ Web Services/ DB connect.
  • Performed transformations, DTP and error handling for data targets.
  • Created generic DS, multi providers, Process Chains and Aggregates.

We'd love your feedback!