1. Rakesh Ramesh
Email - rakeshr@usc.edu Phone - +1 (323) 847-4606 Website - www.rakeshr.com
#720W 27th St., Unit 4, Los Angeles CA-90007 LinkedIn - https://in.linkedin.com/in/rakesh-r
Github - https://github.com/RakeshRameshDS
Education
University of Southern California LA
Masters in Computer Science (Data Science) 2016 – 2018
CGPA - 4.0/4.0
Courses - Foundations of Artificial Intelligence, Database Systems, Applied Natural Language Processing, Analysis of Algorithms
National Institute of Engineering Mysore, India
Bachelor of Engineering (BE), Information Science 2013
CGPA - 9.467/10, Gold medallist for Exemplary Academic Performance
Programming Skills
Languages - Java, Python, Hive, SQL, Pig, C++, C. Statistical Tools - R, MATLAB.
Platforms - Windows, Linux Framework - Scikit-Learn, Hadoop, Spark.
Work Experience
TEKSystems Bangalore, India
Domain - B2B/EAI Integration, Big Data, Machine Learning Jul 2013 - Sep 2015
Designation - Software Engineer
Responsible for:
Responsible for Hadoop architecture set-up, analysis and aggregation of production data.
Built recommendation system for Ahold and SCEA (Sony Computer Entertainment America).
Analysed click stream data for Anomaly detection.
Created models which have been deployed for predictive analysis of region based sales and causal analysis for determining
contributing factors.
Managed digital transformations and implemented new business designs for Electrolux and Oracle.
Managed the technology infrastructure and the day-to-day activities of trading partner process, including partner
on boarding, migrations and exception management.
EDI Upgrade to split architecture to improve performance and Performance Testing using GreenHat.
Projects
Spark - Music recommender using ALS (Data source: UCI - Audioscrobbler).
Spark - Anomaly detection in network traffic using K-means clustering.
Kaggle - ‘Facial Keypoint Detections’ using Convolutional Neural Nets
POI Identification in Enron dataset using AdaBoost (Data source: CMU)
Game playing agent using Adversial Search.
Runaway Robot - Virtual Robot which navigates through obstacles using Successive Localization and Mapping (SLAM)
S.A.U.P (Student Assistance Utility Program) - Application designed to assist international students by suggesting places
in field of interest of the user using recommendation and clustering engines.
Certifications
R Programming Certification Through Coursera; John Hopkins, 2016
Machine Learning Certification Through Coursera; Stanford University, 2015
Artificial Intelligence for Robotics Certification Through Udacity, 2015
Big Data Hadoop Certification Through Edureka, 2015