Graduate Student

****, *. **** ***** * ARISH GANDHI RAMACHANDRAN h ************@****.***.***

#***, ******* ***** * ***://harishaaram.github.io/ 312-***-**** EDUCATION

CANDIDATE FOR MASTER OF SCIENCE IN COMPUTER SCIENCE (GPA: 3.8/4.0) Fall 2016 – Spring 2018 (Expected) Illinois Institute of Technology(IIT)- Chicago, Illinois Courses: Machine learning, Advanced Database Organization, Software systems Architecture, Software Project Management, Online Social Network analysis, Advanced Data Mining. BACHELOR OF TECHNOLOGY IN MECHANICAL ENGINEERING, FIRST CLASS 2010- 2014 National Institute of Technology(NIT) -Trichy, India SKILLS ACHIEVEMENTS

Programming: Java, SQL, NoSQL(JSON, MongoDB),

Python(numpy, pandas, sklearn, NLTK, matplotlib), R, PHP, CSS, HTML, Git, Linux

Models: R egression(Linear, Logistic, Support vector), Classification( Decision Tree, support vector, Random forest), Clustering(Kmeans), Topic Modeling( Latent Semantic Analysis, Latent Dirichlet Allocation)

Leadership : H ackathon(2017) - IIT Chicago, lead a team of 3 and delegated the work; C aptain of Table Tennis team(2013-14) - NIT Trichy, won 1st in NIT surathkal sports meet’14 and 2nd in the IIT kanpur sports meet’13; M entor of CAD workshop(2014) - NIT Trichy, trained about 186 participants on pro-e CAD design.

WORK EXPERIENCE

Research Assistant - I llinois Institute of Technology Chicago Chicago ( Aug’17- Feb’18 ) Under Dr. Irina Matveeva, IIT Chicago

● Performed a T ext Analysis of Federal Reserve meeting minutes using LDA and LSA methods.

● Published the outcomes in the applied track of A CM SIGKDD'18 conference Python Engineer - E xperdex Pte Ltd India ( July ’15 - July’16 )

● Built a model to collect and store data from the Fitbit API to track the employees activities .

● Brainstormed with the Team Head to l aunch a prototype version of food recommender based on the users activity tracker data.

Junior Design Engineer - V aata Infra Ltd India ( June’14 - April’15 )

● Accelerated the load planning design to increase the shipping of turbine modules from 6 to 10 per container.

● Collaborated with the Construction Engineer and the Research and Development team manager, to deliver a fully constructed Concrete-Tower on time.

PROJECTS

NewsOptimism ( Text-analysis Lexicon based approach NLP AFINN API Python Cron ) Chicago ( Aug’17- Dec’17)

● Automated the data collection process from USA’s news media websites and ranked those websites based on the net positivity of the words in the article.

Data Science Tweets Prediction ( S entiment Analysis Data Annotation JSON API Python) Chicago ( Aug’17- Dec’17)

● Performed community detection on certain twitter accounts using its API and developed a heuristic to identify whether the tweet is related to ‘Data science’ tweets using the SVM, supervised learning model . Chicago Crime Prediction ( Supervised learning P redictive Modeling Python ) Chicago ( Jan’17- May’17 )

● Built a Decision tree classifier with an accuracy of 8 1.29 p ercent to predict the crime rate based on demographic and economic information of the locality obtained from the city of Chicago data portal. Database for Online Grocery store ( S QL PHP CSS HTML GIT ) Chicago ( Aug’16- Dec’16 )

● Created a ER schema for an online grocery store application to store information about products, availability of products in the stock, and customers of the store and executed it through SQL. Miscellaneous Projects Chicago ( Aug’16 - Present )

● Published an Alexa skill, T hirukurral, on the Amazon developer community learned through AWS 2017 summit.

● Created an Image detection app called D iagnozer_oo to diagnosis the abnormalities of Patient activities and based on that provide insights as part of the two day S carletHacks 2017 hackathon.

● Developed an application that performs the functionality of G oogle Drive app through Google drive API.

● Monitored stock prices of target stocks using Yahoo finance API in python.

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