Akshay Sanjay Mulay

** ****** ***, *** *, Jersey City, NJ 07307 ac0dmf@r.postjobfree.com 551-***-**** www.linkedin.com/in/a-mulay

EDUCATION

Stevens Institute of Technology, Hoboken, NJ Expected December 2017

Master of Science in Information Systems, G.P.A 3.92/4.0

Course Work: Process Analytics and Optimization, Integrating Information Systems Technologies, Project Analytics, Managing Emerging Information Technologies, Multivariate Data Analytics.

University of Pune, Pune, India. May 2015

Bachelor of Engineering in Information Technology, G.P.A 3.7/4.0

SKILLS

Operating Systems: Windows 7/8/10, Ubuntu

Programming/Scripting Languages: R, SQL, SAS, Python

Databases: PostgreSQL, Oracle, MySQL Microsoft Access

Tools: R Studio, Tableau, MySQL, MS EXCEL

ACADEMIC PROJECTS

Backorder Prediction in Supply Chain March 2017

Developed a Classification Model based on history of sales and forecast of future sales

Remodelled the dataset using Synthetic Minority Over Sampling Technique

Implemented K-Nearest Neighbour, CART and C5.0 with a prediction accuracy of 90%

Conceptualised a solution to prevent Backorders based on factors like National Inventory and Forecast of Sales

Process Optimization of Diabetes Treatment March 2017

Identified the various factors causing Diabetes

Developed a Classification Model to determine Diabetic and Non-Diabetic Patients

Analysed the existing for treatment of Diabetes and cost effective treatment methodologies for Diabetic Patients

Prediction of Hourly Bike Rentals in a City March 2017

Predicted the bike rentals in an hour in each area in Hoboken

Implemented Principal Component Analysis and Linear Regression in the model using SAS

Developed a prediction model for mobility and bike rental demand in a city

Financial Distress Classification December 2016

Developed Classification Models using K-Nearest Neighbour, Random Forest and Cart, Cart 4.5 Algorithms

Implemented Over Sampling and Under Sampling technique using SMOTE

Achieved classification accuracy of 98% and 0.32 False Positive Ratio

Predicted whether a person should be approved of a loan based on the extent of Financial Distress

Cognitive Analysis of EVE Online Game Users December 2016

Reengineered the dataset to develop a linear relationship among the cognitive markers

Developed Graphs and Trendlines to infer dominance of each cognitive markers comments using Dashboards in Tableau

Recommended the features to be included in the game and the best time to release the game update

Classification of Brain Tumour in MR Images July 2015

Restructured the Image to remove noise using Gaussian filter and, Median filter

Implemented Principal Component Analysis and Support Vector Machine algorithm achieving 90% accuracy in classification of Brain Tumour

LEADERSHIP

Orientation Leader, Office of Graduate Affairs January 2017

Assisted Office of Graduate Affairs in conducting the Orientation Events for newly arrived students

Treasurer, Stevens Language Exchange Club December 2016

Organized International Food Festival for a crowd of 500+ people

Managed the Cost and Budget for all the Club Events

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