ASHUTOSH VIJAY GAJANKUSH

*** ******** ******, *** **, Jersey City, NJ-07307, Cell: 201-***-****

acxio4@r.postjobfree.com, GitHub, LinkedIn, CodePen

EDUCATION

Stevens Institute of Technology, Hoboken, NJ

Master of Science in Computer Engineering Expected December 2016 GPA: 3.624

Course Work: Internet of Things(IOT), Decision Making via Data Analysis, Pattern Recognition and Classification, Applied Machine Learning, Engineering Programming-Python, Engineering Programming-Java, Real-Time and Embedded Systems Vidyalankar Institute of Technology, Mumbai, India Bachelor of Engineering in Electronics. May 2015

GPA: 3.5

SKILLS

Languages: Python, Java, SQL, R, HTML5, CSS, JavaScript Big Data Technologies: Apache Hadoop, HDFS, MapReduce, Tableau Tools: Eclipse, Tableau, Processing, Visual Studio, PyCharm, RStudio, Sublime text Hardware Skills: Raspberry Pi, Arduino, PCB designing and soldering Microsoft Office: Microsoft Word/Excel/PowerPoint

Operating Systems: Linux, Windows

Certifications: Intro and Intermediate Python for Data Science (March 2016) Intro and Intermediate R for Data Science (March 2016-April 2016) Importing Data into R (April 2016)

PROJECT EXPERIENCE

Home Automation Using Hand Gestures (Python, Django, Raspberry Pi, Arduino, Embedded Systems, IOT, SQL) Spring 2016

Transferred 3-axis Accelerometer data wirelessly from Arduino to Raspberry Pi for gesture processing using Trans receiver.

Implemented algorithm for Gesture detection to set particular GPIO pins of Raspberry Pi.

Developed an app on Django server showing the status of Raspberry Pi output. Currency Prediction (Python, Flask, ggplot2, pandas, numpy and Time series function) Spring 2016

Collected United States Dollar to other currencies historic data of 15 to 30 years.

Data cleaning and manipulation using Python and code was designed to fetch data from a particular time frame of any currency.

Created interactive plots and a web application for easy user interface using data visualization techniques and Flask. Pedestrian and Object Detection (Python, Open CV, numpy, imutils, cv2) Spring 2016

Trained HOG and Linear SVM model with training images using Python and Open CV for Pedestrian Detection.

Implemented Sliding Window technique on test images for Feature Extraction (Pedestrian Detection).

Detected the presence of green colored ball as an object in the image using HSV Color space along with Python. Wikipedia Viewer (HTML5, CSS, JavaScript, jQuery, Bootstarp) Fall 2016

Designed a search box for entering the Wikipedia entries which outputs the related search contents with a small information and a link to the Wikipedia page for that entry.

Designed a button which when clicked redirects to a random Wikipedia page. Weather Application (JavaScript, HTML5) Spring 2016

Gathered JSON data from OpenWeatherMap.org using JavaScript and included in the app using HTML5

Implemented the Weather App to show the weather of the current location of the user

Created a toggle button to see the temperature toggle between Fahrenheit and Celsius Analysis of Discussion Forum Data (Cloudera Hadoop, MapReduce, Python, csv, sys) Fall 2016

Successfully uploaded forum data on Hadoop cluster for processing and designed MapReduce job for analysis.

Analyzed factors such as Students Posting Time on Forums using MapReduce code to detect most active hours on forums.

Analyzed Top Tags posted by a student on the forums to detect the trending topic. Available January 2017

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