MADHAV DUBE
**** ***** **** ***** *** ***- *****
*****@****.***.***
https://www.linkedin.com/in/MadhavDube
https://github.com/mdube9
Online Resume
SUMMARY
Data Scientist intern with three months experience in data gathering and machine learning model implementation
Software Engineer with 2 years of professional experience in Software Development Lifecycle (SDLC)
EDUCATION
Master of Science – Computer Science Aug 2016 – Dec 2017 Illinois Institute of Technology Chicago, USA
Coursework: Machine Learning, Regression & Forecasting, Advance DB Organization, Big Data Technologies, Data Preparation & analysis, Data Mining Bachelor of Technology – Computer Science Sept 2010 –May 2014 Rajasthan Technical University Kota, India
Coursework: Data Structures & Algorithms, Object Oriented Concepts, Cloud WORK EXPERIENCE
Oriental Trading Company May 2017 – Aug 2017
Data Scientist Intern Omaha, USA
Assisted with predictive modeling, hypothesis testing, machine learning, and simulation building using Python and R.
Analyzed trends and patterns in customer behavior and the results of testing and communicated findings orally and visually using Tableau.
Utilized customer database reporting tools to extract and manipulate data for analysis
Worked with internal and external resources on requirement gathering & data loading. Larsen & Toubro InfoTech Oct 2014 – July 2016
Software Engineer Chennai, India
Built profitability modeling, resource optimization and revenue management tools to analyze the requirements of various departments of our clients
Gather data from the various teams which included: Finance Teams, Business Team and their respective analysts.
Prepare a Software Requirement Specification document covering all the requirements gathered and thereby design and develop a profitability model according to the SRS.
Provide full technical assistance which included bug fixing, query modification and correction, automation post-delivery and product maintenance. ACADEMIC PROJECTS
Image Classifier using CNN on NVidia GPU Aug 2017 –Dec 2017 Team Member IIT Chicago
Built an image classifier which can be trained from images of different classes and will be able to predict unseen images with good accuracy. I am using Python accelerated with CUDA and Convolution Neural Networks as machine learning model. Live Game Analysis for Chess Jan 2017 – April 2017 Team Member IIT Chicago
Used Kafka to send chunk(s) of data. The winner of the game of Chess is predicted using streamed data containing the next move of the player which is fed to a machine learning model. This project is a good source for me to learn distributed computing and analysis. Sale Price Prediction of Houses Aug 2016 – Dec 2016 Team Member IIT Chicago
The project aimed to predict the sale prices of various houses based on qualitative and quantitative attributes mentioned in the data set. Regression models were used to predict the sale prices while time series model was used to analyze and forecast the sale prices for coming few years.
CERTIFICATIONS
• Google Analytics Certified
• Red Hat Certified System
Administrator (RHCSA)
• Red Hat Certified Engineer
(RHCE)
SKILLS
Personal
• Good Communication skills
• Good Event Organizer
Technical
• Languages: Java, Python, R
Programming
• Web Technologies: HTML, CSS,
JQuery, JSON, JavaScript
• DB Technologies: SQL
• Big Data Technologies: HIVE,
Hadoop, Apache Spark, Kafka,
Sqoop
• OS: Windows, Red Hat Linux
• Tools & Frameworks: SVN,
Struts, GIT, WinSCP, Putty
• Data Visualization: Orange,
Tableau
Languages Skills
• English
• Hindi
INTERESTS
• Solving Puzzles
• Event Management
• Playing Chess