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Engineer Food Safety

Location:
Pittsburgh, Pennsylvania, United States
Posted:
August 19, 2018

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Resume:

Alekya Kumar

Education

University at Buffalo, Buffalo NY 2017-2019(February)

Master of Science in Engineering Science (Data Science) Anna University, Chennai, India 2009-2013

Bachelor of Engineering in Electronics and Instrumentation Professional Experience

TATA Consultancy Services, Chennai, India 2013-2017 System Engineer - Analyst – a US Airline Major

Baggage Sortation Message (BSM) project

An automated system that helps in efficient sorting and delivery of bags in order to reduce the wait-time of passengers

• Liaised with the client to implement an automated baggage sort system to deliver bags to respective terminals

• Involved in end-to-end data analysis and deployment of BSM thereby reducing time for baggage delivery by 70%

Reservation System Migration

Migration of System from SABRE Global Distribution System to Altea Reservation System

• Carried out the pre-production validation for International Program during schedule load- ing and coordinated with SABRE team to ensure code is dropped to test system

• Designed a UNIX based tool for PNR confirmation and achieved 85% reduction in manual efforts necessary

Projects 2017-2018

Data Analytics: Food Inspection for city of Chicago, Illinois - Python and SQL Analysis of real-time data in order to study the inspections that promote public health in areas of food safety and sanitation and prevent the occurrence of food-borne diseases

• Analyzed and manipulated correlation and dependence of each variable towards another

• Estimated the maximum likelihood of a specific Facility Type according to the level of Risk, using Bayesian approach and predicted that there would be a risk of 65% Predictive Analytics: Wine Quality Data (Red and White) - R Predictive Science methodologies to assess the quality of two different types of wine using their chemical properties

• Explored the physico-chemical properties of wine and visualized the differences between white and red wines

• Studied the performance of KNN, Support Vector Machines and Random Forest;adjusted the parameters of Random Forest and achieved an accuracy of 94% Machine Learning : Multilayer Perceptron Neural Network - Handwritten Digits and Face Recognition - Python A supervised learning model implemented using Neural Networks to recognize handwritten digits and Celebrity Faces

• Implemented Forward Pass and Back Propagation algorithms for different combinations of hyper parameters and produced maximum accuracy of 90.2%

• Designed a Deep Learning model - Convoluted Neural Networks(CNN) using Tensorflow for recognizing celebrity faces;tuned the parameters and produced an accuracy of 97% Recommender System : On-line Dating Website - R, Spark and AWS A system that provides recommendation to users for a Dating website

• Conducted initial analysis on the dataset, containing 17 million records/ratings given by users, using Spark and AWS and understood the ratings provided by each user to a user- profile

• Devised an algorithm that uses ratings and similarities between users to recommend user- profiles.Produced a very low error of 2.6579 using Pearson Correlation methodology Contact

+1-412-***-****

ac6qg1@r.postjobfree.com

https://github.com

/alekyakumar

https://www.linkedin.com

/in/alekya-kumar/

Technologies

Python, R, SQL,

MATLAB, SAS, Spark,

ITIL, Unix and Shell

Scripting, Java

Tools

Oracle, SAS Eminer,

RStudio, Jupyter

Notebook, Eclipse,

AWS, Tableau,

LabVIEW,

MS-Office(Excel,

Powerpoint,Word)

Techniques

Linear/Logistic

Regression, Neural

Networks, Decision

Trees, Clustering,

Recommender

Systems, Time Series

Analysis

Project

Management

ITIL Process, Agile

Methodologies, Client

and Team

Management

Coursework

•Statistical Data

Mining - Supervised

Learning and

Unsupervised

Learning

•Probability Theory

•Predictive Analytics

•Object Oriented

Programming



Contact this candidate