SURESH THYAGARAJ *** Pleasant St, Apt ****, New Bedford, MA – 02740

774-***-**** ac0e19@r.postjobfree.com linkedin.com/in/suresh-thyagaraj-30650510b EDUCATION

****-**** ****** ** *******: Technology Management University of Massachusetts Dartmouth

Courses Business Analytics, Data Mining, Business Intelligence, Project Management, ERP systems, Operations Management, Technology Management strategies, Machine Learning, Statistical Analysis 2011-2015 Bachelor of Engineering: Electronics and Communication Engineering Visvesvaraya Technological University

TECHNICAL SKILLS

Languages : C/C++, Python, Java, My-SQL, R programming, Scala, ALP, MATLAB Operating System : Windows XP/Vista/7/8/10, Linux(Ubuntu) Software : Microsoft Project, Tableau, R, R-studio, Visual Studio Tools : MS Excel, MS Access, MS Word, MS PowerPoint, OLAP, Office 365, IBM Watson Analytics Big Data ecosystems : Hadoop, MapReduce, HDFS, Apache Spark Enterprise systems : Idempiere, Odoo, ERP Next

ADDITIONAL SKILLS

Relational database management skills, Data Visualization, Project Management skills, Knowledge Management skills, Analytical skills, Problem-solving, Programming skills, Excellent organizational skills, Excellent Written and Oral Communication skills, Team Work, Reliable, Leadership Skills, Presentation Skills. PROFESSIONAL EXPERIENCE

• Electronic Engineer at Beau Jhelum Traders & Developers PVT.LTD. (November 2014 to December 2015) Role: System Administrator, Installation of Biometric and access card security systems, CCTV installations, Fiber optic installations for data networking

CERTIFICATIONS

• Hadoop Platform and Application Framework by University of California, San Diego. Certificate earned on February 28, 2017

• Managing Big Data with MySQL by Duke University. Certificate earned on August 28, 2016

• R Programming by Johns Hopkins University. Certificate earned on September 14, 2016 PROJECTS

• Bike sharing Demand using Machine Learning

Used dataset from Kaggle website, exploratory analysis to check the impact of weather conditions on the demand of bike rentals, predicted the demand using support vector machine model, tree model and random forest model.

• Loan application approval prediction using machine learning Predicted loan application approval with 99.53 accuracy using Random Forest model in R and experimented with decision trees and Random Forest classifiers to classify loan approvals.

Business Intelligence(OLAP) at North Wind Traders using MS Access and Excel Used a dataset from North Wind Traders, performed OLAP operations (Query, OLAP cube operations, statistical analysis and Data visualization), found useful insights and generated business strategies from the observation.

• Module comparison between Idempiere and Odoo

Sales and purchase order management, Built product BOM’s in manufacturing process, Invoice payment allocation, Accounting and Financial Reporting. Compared these functions in Idempiere and Odoo.

• Technology strategies in Uber

Analyzed technologies used by Uber and developed strategies that result in decreasing the churn rate. Calculated customer life time value, surge pricing in Uber and found the effects of technologies in Customer life time value.

• Spark Cluster on oracle virtual box

Using oracle VM virtual box, configured and developed spark cluster on Linux and calculated the pi value, Simple and advance join in spark and Running wordcount with Hadoop streaming.

Project Management at Big Kola Company using MS Project This project involved generation of WBS, Gantt chart, project cash flow statement, resource allocation for the Big Kola company, identified milestones and predicted forecasted cost at completion.

• Regency Multi-Accessible Hotel and Condo Project Developed a project charter to design and modify the building to comply with American with Disabilities Act of 1990 (ADA) to accommodate disability customer.

Research work on Cyber security

I did research on role of Business Intelligence and Knowledge Management in Cybersecurity. I found BI and KM models, challenges, practices, business value of BI and KM in cybersecurity organizations.