RESEARCH EXPERIENCE

Image processing and neural networks laboratory (Arlington, TX)

Algorithm Developer/Data Modeler 2015 – present

Developed various algorithms on different machine learning approximation and classification techniques. Projects – Linear, Logistic regression, Multilayer perceptron neural network approximation and classifier, sparse auto encoder deep learner, nearest neighbor classifier. Academic/Hobby Projects

Big-data-analysis-on-flight departure delay and the speed of the Airplane to cover the distance-using-Revolutionary-R-open Performing data analysis on 75 million rows of flight details to provide insights on the speed of the airplane with respect to the departure delay using Revolutionary-R-open Tools used- Microsoft R open, Revolutionary R Enterprise, R programming, Machine learning toolbox in R Multilayer perceptron with adaptive activation function (Thesis) Developed a Neural network approximation algorithm, were in the fixed nonlinear activation function is improved by designing an improved adaptive activation function for training of a network. The training is improved by 3%. Applications-Complex application prediction such as stock market forecasting, currency exchange rate prediction. Tools used – BI tools, Matlab, R, Machine learning/neural network techniques and toolbox for comparison. Data Analysis, prediction for survived passengers on titanic from Kaggle Data science website.

Analysis and prediction of survival of passengers from the titanic disaster, which included data analysis, data cleaning from source, prediction of missing input age values and final survival prediction. Technique use – ETL process, Data mining, Data wrangling Linear, Logistic regression, Support vector machines, neural networks SQL, R. Tools used – BI tools, machine learning/neural network matlab, R toolbox.

Data analysis for movie ratings for movie review article using R Data analysis for movie ratings by critics and audience as well as movie budgets for the years 2007-2011 for an article for movie review firm. Method used – Data analysis, Data wrangling, Grammar of graphics for GG2PLOT R package. Tools used – R programming, Tableau public. Data analysis, preparation and modeling of bank customer data and visual implementation using Tableau public

Analysis of a bank customer data and prediction of customers leaving the bank and also preparing a model for possibility of services to be provided for the customers. Method used- Data analysis, Data wrangling, Linear, Logistic regression, neural networks, data visualization, GGPLOT2 library Tools used – R, Matlab, Tableau public, Matlab machine learning toolbox/libraries. SKILLS

R programming, Matlab, C, C++, SQL,

Microsoft Excel, Word, PowerPoint,

Tableau public, Machine learning,

Business Intelligence Tools, SQL

server data tools, SQL Server

Management studio, Data mining,

Hadoop, Apache Spark, Data analysis,

Statistics, ETL, Python.

Online Certification

Courses

Data science

R programming for Data science

Machine learning by Andrew NG

from Stanford

Big data analytics UC San Diego

EDUCATION

Masters of Science (2016)

Thesis in Electrical Engineering

University of Texas at Arlington

Bachelors of Science (2013)

Electronics and Telecommunications

Engineering

Relevant Coursework

Neural Networks, Machine Learning,

Statistical Pattern Recognition,

Embedded Microcontroller, Data

Analytics, Embedded

Microcontroller, Advanced

Microprocessor designs

REFERENCES

Dr Michael Manry, Director of

Image processing and neural

networks lab at

University of Texas at Arlington

817-***-****

acv4fc@r.postjobfree.com

Chinmay A Rane

Masters of Science in Electrical Engineering

Looking for Intern/full time job opportunities as a Data Scientist 1000, South Pecan street, Apartment 107, Texas

https://github.com/chinmayrane54

682-***-****

acv4fc@r.postjobfree.com

www.linkedin.com/in/ranechinmay

Addi t ional Projects

Data wrangling and Analysis on sales of vehicle services using Business intelligence tools. Finding data anomalies and error and suggesting explanations for the errors and analysis for sales of the vehicle services for a particular vehicle company. Method used – GGPLOT2 library, Data analysis, BI tools, ETL process. Tools used – R, Matlab, SQL.

Data analysis and visualization of the highest paid NBA players. Analysis and visualization of the highest paid NBA players depending upon the throw attempts per game, accuracy, playing style. Method used – Data analysis, Data wrangling, Grammar of graphics for GG2PLOT R package. Tools used – R programming, Tableau public.

License Plate Recognition.

Developed an algorithm under the guidance of Dr. Michael Manry for Character/feature extraction using Histogram, Image classifier for DFT and Ring and Wedge Feature sets then design a neural network classifier with one hidden layer and train using gradient descent and backpropagation method to classify each character into their respective classes. Technique used – Character/Feature extraction, Image classification. Software used – Matlab Growing method for Multilayer Perceptron.

A method in which the initial network starts with one hidden layer with one hidden unit. The network is trained until the number of iterations is equal to number of unknown’s. We then add additional hidden units, with weights from inputs to hidden layer and to outputs and initializing the new input weights randomly and continue with the training till the hidden units are twice as number of inputs. Alternate method for initializing a neural network. Applications – can be used as approximation problems such as Stock Market time series forecasting, Currency Exchange Rate Prediction. Technique used - Gradient descent, HWO, MOLF, OLS. Tools used – Matlab, Statistical and machine learning toolbox, neural networks toolbox.

Achievements

Awarded Research Intern position at Image processing and neural networks laboratories at UTA.

Vice- chairman of The Institution of Electronics and Telecommunication Engineers, where in organized technical events, Industrial visits for all the members of IETE as part of my undergraduate studies.

Represented undergraduate institution in Soccer, Volley ball tournaments.

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