Engineering Data Analyst

SUSHANT GHAYTADAK

201-***-**** ********@*******.*** linkedIn.com/in/sushantghaytadak github.com/Sghaytadak EDUCATION

Stevens Institute of Technology, School of System and Enterprises, New Jersey May 2021 Master of Engineering in Engineering Management GPA: 3.87/4.00 Relevant Coursework: Data Analysis and Visualization Techniques for Decision Making, Data Science and Knowledge Discovery in Engineering Management, Introduction to Python for Financial Applications, Project Management for Complex Systems, Dynamic Modeling of System and Enterprises, Elements of Operation Research, Engineering Economics and Cost Analysis

University of Solapur, N B Navale Sinhgad College of Engineering, India May 2017 Bachelor of Engineering in Electrical Engineering

SKILLS

Programming Languages: Python, SQL, R

Data Science Packages: NumPy, Matplotlib, Pandas

Data Tools: MS Excel, MS Access, MS Word, MS PowerPoint, Tableau, Google Analytics Knowledge Areas and Certifications: Data Visualization in R, Data Analyst with Python ACADEMIC PROJECTS

Credit Rating Prediction (Python Random Forest Support Vector Machine (SVM) Neural Network)

Developed efficient machine learning classification models Support Vector Machines, K Nearest Neighbors, Neural Network and Random Forest to predict the corporate credit ratings

Performed 7-fold Cross-Validation to optimize the training of each of the models

Improved the models by performing Dimension Reduction on the 98 features using Principle Component Analysis (PCA), to convert a set of linearly correlated features into uncorrelated features

Performed Grid Search technique to find the best possible parameters for all the models

Obtained prediction accuracy of 92% for K Nearest Neighbors Classifier and 89% for Neural Networks Decision Making via Data Analysis

Analyzing data of an online food order app to make decision on how to start a business in food and beverage industry

Used R programming to clean, visualize and conduct machine learning and simulation methods to study results in decision making

Implemented sentimental analysis to conduct study on consumer behavior

Compiled the analysis done on the dataset and generated report on decision making related to type of restaurant, cuisine, location, what should be in menu and How much it should price for two Decision Support System MS-Excel

Built a Decision Support System for selecting a laptop from a dataset of 110 models, specifying its consequences table and utility map

Performed Monte Carlo simulation to determine expected utility for each laptop model

Established a user interface with relevant questions to determine final decision, describing price and other specification of the product affecting its utility map

EXPERIENCE

Janani Enterprises Nagpur, India June 2017- May 2019 Assistant Project Manager

Implemented Management and Procurement of resources, Performed Risk management

Collaborated and Coordinated with Clients, Vendors and Sub-ordinates

Executed Planning, Commissioning, Testing and Installation of 315 MVA Power Transformer

Generated project reports which were used for day to day monitoring purposes

Utilized Trello to keep track of ongoing project ACTIVITIES

Stevens Institute of Technology

Currently working as a Master’s Peer Mentor

Active Member of Stevens Indian Graduate Student Association and Stevens Graduate Council N.B. Navale Sinhgad College of Engineering

Functioned as a Cultural Secretary for Students Council 2015-2016

Served as an Organizing Core Committee Member for University YOUTH FESTIVAL 2K16

Achieved Runner Up position at Annual College Project Exhibition PRAYOG for Mini Hardware Project

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