HARI KIRAN CHIKKARAMAIAH MANJUNATH

adbwa0@r.postjobfree.com LinkedIn +1-817-***-****

OBJECTIVE

Master’s Student currently pursuing Industrial Engineering Soliciting a Fulltime Position Starting from May 2020. EDUCATION

Master of Science in Industrial Engineering May 2020 THE UNIVERSITY OF TEXAS AT ARLINGTON, Arlington, TX Course Work Completed: Introduction to Operations Research, Applied Regression Analysis, Data Mining and Analytics, Data Analysis and Modeling Techniques, Advanced Engineering Economy, Introduction to Statistics, Production and Inventory Control, Python Programming, Quality Systems.

Bachelor of Engineering(Mechanical Engineering) June 2016 PES INSTITUTE OF TECHNOLOGY(Visvesvaraya Technological University) Bangalore, India TECHNICAL SKILLS

Python(Pandas, Numpy), R, SAS, C, C++, Java, SQL, Data Visualization(Tableau), Machine Learning, MATLAB, RStudio, Pycharm, Jupyter, MS-Office

CERTIFICATION

R(Coursera), Data Scientist’s Toolbox(Coursera), MATLAB(Mathworks) ACADEMIC PROJECTS

Titanic – Machine Learning from Disaster August 2019 – Jan 2020 Performed Feature Extraction and Data Exploration. Used Machine Learning Tools and Classifiers to predict Chances of Survival of a Passenger. Performed Initial Data Analysis using histograms. Machine Learning Classification methods used: K-Nearest Neighbor, Naïve Bayes Classification, Logistic Regression, Neural Networks, Support Network Classifier. Random Forest Classifier gave the best accuracy of 81.27%. Naïve Bayes Classifier in Spam Filtering August 2019 – December 2019 Applied Bayesian Analytical Algorithm to generalize patterns of spam emails/messages and computed the probability that an email is a spam given these patterns. Used WordCloud Library to Identify Most repeated words in spam messages. Obtained Accuracy of 94.34%.

Applied Regression Analysis – Cricket Statistics of Various Players Jan 2019 – May 2019 Determined the Cricket Statistics of various Cricket Players by taking different variables such as Total Balls Faced, Total Matches Played, Highest Score of each Player, Batting Average of each Player and Compared it with a response variable which was Total Runs Scored. Applied Multiple Regression Analysis with the help of SAS and determined the Predictor Variable having the Highest Impact on the Response Variable.

WORK EXPERIENCE

INTECH ADDITIVE SOLUTIONS(Design Engineer) Bangalore, India August 2016 – Feb 2017 Prepared and Loaded Data for the DMLS Machine, CAD modification, slicing and fixing the model.

• Monitored the post-processing build process including vibratory stress relieving, glass bead blasting and wire cutting processes.

• Prepared feasibility report of the build order - estimating time, height, amount of powder required, etc.

• As a Technological Development Centre Associate, Tested Hardness of Test Blocks using Rockwell Hardness Testing Machine, determined Density of Test Blocks with the help of a Densometer.