Data Supply Chain

INCHARA MANJUNATHA GOWDA Houghton,Michigan

DATA SCIENTIST www.linkedin.com/in/inchara-manjunath/ 906-***-**** ac8e8d@r.postjobfree.com.

[Open for Relocation]

EDUCATION

MS – Data Science Sep 2017 – May 2019 Michigan Technological University, Houghton, MI Relevant Courses: Data Mining, Time Series Analysis & Forecasting, Data Visualization, Predictive Modeling, Statistical Methods, Information System Management and Data Analysis. B.E. Computer Science Aug 2013 – Jun 2017 Visveswaraya Technological University, Bengaluru, India PROFESSIONAL EXPERIENCE

Graduate Teaching Assistant Michigan Technological University Jan 2018-May 2018 Data Structures in Java

• Teaching a class of 110 about Data Structures algorithms,priority queues, Hash tables, tree traversals and graphs

• Designed a project for the course on J-unit testing which was targeted to implement own data structures.

• Assisted students on building efficient algorithms to reduce computation time. ACADEMIC PROJECTS

Geocoder Web Service Project July 2018 - Aug 2018

• Design a Flask Geocoding web application in Python that takes in the physical address and returns the geographic coordinates (latitude and longitude of the input data).

• Used classes such as Flask, Nominatim from libraries Flask, pandas and geopy.geocoders to help find coordinates across the globe using third-party geocoders and other data sources. Build a Webcam Motion Detector July 2018 - Aug 2018

• Trigger the webcam to capture images as frames followed by grey-scaling of images by calculating the intensity of pixels. Implemented contour features like bounding rectangles to catch the motion of objects within frames.

• Included concepts of Python Image Processing with OpenCV and Numpy arrays. Predictive Modelling on Hungary Weather Data Analysis Sept 2018 – Dec 2018

• Pre-processing of data and model building using R.

• Built different linear and non-linear classification models, computed accuracy and kappa values for each model.

• Using the best model, performed weather prediction for next four months. Data Mining Project Feb 2018-May2018

• Classification of Music Popularity and E-mail spam - splitting of data using k-fold cross validation and using Random Forest and Support Vector Machine for prediction.

• Naive Bayes Classification using Laplace Classification and reported accuracy, sensitivity and specificity. Website Implementation for a small sized sawmill in South Range, Michigan

• Built an online shopping website (e-commerce website) to improve the sales with easy marketing options, payment and other facilities to automate all the processes and that are easily accessible.

• Strategical improvement of supply chain management, cost benefit analysis, risk and contingency analysis. Bike Sharing Dataset Analysis using Time Series Analysis and Forecasting Feb 2018-May2018

• Finding the best fitting model which can be used to predict the bike rentals for the next quarter.

• Performed analysis of trend, model fitting, model diagnosis, finding residuals, autocorrelation of residuals, selection of best model and forecasting.

TECHNICAL SKILLS

Programming: Python, R, C/C++, JAVA,HTML Databases: SQL, MySQL, SQLite. BI Tools: Tableau, Map Reduce, Supply Chain Theoretical Knowledge: Descriptive & Inferential stats, Linear Management, ERP Algebra, Probability

CERTFICATIONS

• Programming for Everybody(Getting Started with Python),2017

• The Python Mega Course: Build 10 Real World Applications,2018

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