Software Engineer Data

Jacob Stephen

+1-343-***-**** • ****************@*****.***

SUMMARY

Master’s in Electrical and Computer Specialization in Data Science having a work experience in data analytics, programming and Business Intelligence seeking for Full Time Job.

EDUCATION

Masters, Electrical and Computer Specialization in Data Science Graduating December 2019 Carleton University, Ottawa, Canada 3.8/4 GPA

Bachelor of Technology, Electronics and Communication Graduated May 2016 Vellore Institute of Technology, Vellore, India 8.37/10 GPA TECHNICAL SKILLS

Programming Languages: C/C++, Python, R programming, Java, Linux

Databases: MySQL, MongoDB, PostgreSQL

Software: MS Office (Advanced Excel/PowerPoint/Word/Visio), Eclipse, Microsoft Power BI, ETL (SAP-BODS), Alteryx, Matlab, Tableau, Toad

WORK EXPERIENCE

Software Engineer, Accenture, India January 2017- July 2018 CMA (Credit Monitoring Application)

Implemented Data Mart to handle 10 years of historic data comprising of a volume of around 50 Million records from numerous source systems including mainframe and SAP and building a Type-II Extended Star Schema.

Performed Extract, clean, conform and load data into oracle data warehouse. Worked on SQL and Toad to study the data in different systems and to validate reports.

Wrote SQL statements to create table DDL in staging area, also for Dimension and Fact tables

Involved in automation of jobs through Management console & Creating Batch jobs.

Linux Environment for Copying, archiving of files on daily basis from ftp Locations, implementing logic & daily scheduling of Linux jobs.

Tools: SAP-BODS, Linux, Python to analyze the data and Visualization. Credit Risk Rating Application

Assessing the client technical and functional issues with the application.

Enhanced the process of weekly generated reports for the clients on their Organizational insights.

Responsible for using various error handling techniques in data services to avoid duplication of rows and/or missing rows.

Implement a Credit Risk Rating Model within their credit approval process for existing & new customers.

Responsible for testing and debugging of various ETL jobs.

Installed and Configured Data Insight for Data Profiling.

Tools- Data Integration: Microsoft Power BI; Segmentation of the data: Alteryx; Visualization: Tableau PUBLICATIONS

PERFORMANCE ANALYSIS OF OPTICAL TRANSMISSION SYSTEM USING FBG AND BESSEL FILTERS: (ARPN Journal of Engineering and Applied Sciences)

Link: http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0815_2351.pdf ACADEMIC PROJECTS

Drowsiness Detection to Prevent Road Accidents Fall 2018

Using Python frameworks such as OpenCV and Dlib facial detection to extract the coordinates of the eyes to calculate Eye aspect ratio, if falls below a certain threshold, would generate an alert indicating vulnerability to an accident. Handwritten Digits Classification Fall 2018

Classification of the image data of handwritten digits into recognized digits using a Deep neural network with tensorflow.

Language: Python, Frameworks: Tensorflow

Canadian Workforce and Stress Winter 2019

R language and Excel is used to understand the stress response and everyday schedule of Canadians and the factors which plays a major role in defining the amount of stress in individuals’ life using Weight of Evidence (WOE), Information Value and Multinomial Logistic regression algorithm and Analyze the correlation of those factors with level of Satisfaction. Study of Manufacturing Facility Winter 2019

Improve the performance of the Manufacturing Facility by providing the alternative policy through identifying the distribution of Data set using Q-Q plots and perform chi-square goodness-of-fit test for each distribution and by doing verification, validation and production run analysis of the Facility using Little Law and Confidence Interval Testing for alternative policy.

Language: Java, Matlab

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