Software Engineer Data

NEHA GILSON

*** ******* ***, ****** ****, NJ, ***06 ■ 401-***-**** ■ **********@*****.*** ■ https://www.linkedin.com/in/nehagilson

EDUCATION

Northeastern University (Boston, MA) December 2017

Master of Science in Information Systems

M.P. Christian College of Engineering & Technology (Chhattisgarh, India) June 2010

Bachelor of Engineering in Computer Science

Honors Graduate, Awards: Best All-Rounder Student 2006-2010

TECHNICAL SKILLS

Database: MSSQL Server, MySQL, Oracle, PostgreSQL

Programming Skills: Python, R, Java, HTML, JavaScript, spring MVC, Hibernate

Data Engineering: Hue, hive, Oozie, Trifacta Wrangler, Talend, SSIS, Toad Data Modeller, AWS

Data Analytics: Tableau, Power BI, Qlik Sense, Azure Studio, Hadoop Map Reduce

PROFESSIONAL EXPERIENCE

Ahold Delhaize - Quincy, Massachusetts January 2017 – June 2017

Data Scientist Co-op

Modelled a backend rule based recommendation engine using Azure for suggesting healthy eating choices for Stop and Shop customers.

Ideated and developed an alerting system for proactive sales monitoring using transaction logs on hive, hue and oozie workflow; received Auroro Monroe award (co-op Spring’17) for storming through big data.

Tata Consultancy Services – Mumbai, India December 2013 - July 2014

Senior Software Engineer

Managed migration of 50,000 business critical documents from Documentum to SharePoint for the entire UK and APAC region individually and well within project deadline resulting in enhanced client relationships.

Promoted to the role of Module Lead for upstream Documentum services for entire UK Region within 3 months of joining the company.

Wipro Infotech Ltd – Hyderabad, India September 2010 - October 2013

Software Engineer

Analysed, developed and implemented reusable DFC code and Documentum jobs for identifying and migrating huge data from SAN to SATA storage; received ’Star Performer’ award for resolving space crunch issue.

Managed Requirement Gathering (SPOC) from multiple clients from different Business Organizational Units for a new development project worth $60,000.

ACADEMIC PROJECTS

Big Data Systems & Intelligence Analytics: Classified fraudulent credit card transactions by applying Deep Learning neural networks using Tensor Flow. Compared that with XGBoost technique in python.

Advances in Data Science:

oVisualised and analysed Expedia dataset on Tableau & Python to understand data distribution and validity. Devised a hotel recommendation & booking prediction system for hotel searches using Azure ML.

oAnalysed trends in energy consumption of various properties in the city of Boston and developed a model to predict future consumption of electricity using Azure ML studio and Python.

Planning & Managing Big Data system: Proposed the use of big data and cloud architecture for improving efficiency of Amazon single day delivery on Velero Project Portfolio Management tool.

Engineering Big Data Systems: Derived insights from Yelp dataset into how positive and negative words in reviews are related to actual star rating for a restaurant using Hue, MapReduce and Tableau.

Data Warehouse and Business Intelligence: Performed Data Integration using Talend and SSIS involving data-conversion, error handling and source to target mapping. Generated BI visualizations using Tableau, Qlik Sense and Power BI on AdventureWorksDW2014 data warehouse to help higher management decision making.

Application Engineering Development: Developed a fully functional Java Swing application to monitor Calorie and Nutrition intake of a family by implementing Internet of Things (IOT) on Ecosystem model.

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