Deep Learning Engineer
Resume:
Adarsh Chitradurga
Achutha
Machine learning engineer currently working on ML and DL frameworks for
classifying sonar data for scene recognition. Have worked in Data analytics in projects involving data collection, data analysis, conjoint analysis, Forecasting and pricing strategies
**********@*****.***
222 Senator Place, Apt-26, Cincinnati, USA
linkedin.com/in/adarsh-chitradurga-achutha-56986093 EDUCATION
08/2016 – Present
Master of Science in Mechanical Engineering
University of Cincinnati
08/2008 – 06/2012
Bachelor of Technology
Indian Institute of Technology Roorkee
WORK EXPERIENCE
Graduate Student Researcher
University of Cincinnati
Currently working on implementing an efficient deep neural network framework to effectively classify sonar data for scene recognition.
Contact: Dr. Vanderlest Dieter – ********@******.**.*** 04/2016 – 08/2016
Senior Business Analyst
Merilytics
Worked in a team to develop and monitor a pricing strategy for a major food company in the United States
Developed a model for selecting a suitable location for customer support center by using various parameters and by using only the data provided by US national surveys and public organizations. 08/2014 – 09/2015
Business Analyst
ZS Associates
Worked on Market research studies from developing the survey and data collection on Confirmit, Run market share, segmentation and conjoint analysis studies based on the data
07/2012 – 06/2014
Manager
Reliance Industries Limited
Part of the maintenance team working on various projects like Boiler overhauling, Steam turbine overhauling and balancing. On a day to day basis managed the maintenance of various non critical equipment and material handling and inventory management SKILLS
Deep Learning Machine Learning TensorFlow Keras
Python PCA C# C++ Matlab Fortran
Unity Engine
PROJECTS
Path Planning Algorithms (08/2018 – 11/2018)
Implemented Bug1, Bug2, DistBug and Dynamic programming (Value iteration) as part of the decision engineering. The algorithms were coded from scratch and implemented in MATLAB and simulated for various obstacle scenarios Math Methods in Decision making (08/2018 – 11/2018) Algorithms were implemented as part of small projects like genetic algorithm for TSP, Swarm intelligence, Kalman Filter, Bayesian networks, Ant colony optimization, Particle swarm optimization
CERTIFICATES
Deep Learning Specialization
Coursera
Neural Networks and Deep Learning
Coursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
Structuring Machine Learning Projects
Coursera
Convolutional Neural Networks
Coursera
Sequence Models
Coursera
Responsibilities
Responsibilities
Responsibilities
Responsibilities
Contact this candidate