Chad is a Masters graduate from Clemson University. His technology-savvy attitude does not limit his ability to be innovative. He is passionate about futuristic technologies. Apart from being crazy about data techs he likes to play Racquetball, Badminton, Cricket, Board games and Video games. He also loves to hike and is very competitive in whatever he does. He belives that nothing is permanent except change and this belief makes him extremely adaptable. Every day he pushes himself to learn something new, and unrelentingly pursues his passion.
Email - ckalnad@g.clemson.edu Mobile - 8646243224Python, C, MATLAB, VB, SQL, Tableau, PowerBI, AWS
I like to use scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.
I like to inspect, cleanse, transform and model data and discover useful information, inform conclusions and support decision-making.
I like to develop computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
I like to represent data graphically and communicate relationships among the represented data to viewers of the images.
Clemson University
Reviewed/analyzed current Photovoltaic based IoT systems to improve scalability and efficiency. Extracted data from Kaggle in XLS format and prepared data for exploratory analysis. Modeled a Simulink solar water heater to predict energy output. Performed cluster analysis for calculating variable correlations. Applied regression models such as Linear regression, RidgeCV, Decision Tree regression, Support Vector regression, SGD, ADABoost, XGBoost for radiation prediction in Python and AWS Sagemaker. Predicted future radiation values with fbprophet.
ZF transmissions
Ramp Automation
AWS Cloud management and responsible for code build, release and configuration on Amazon EC2 Experience and good knowledge in AWS (Amazon Web Services) services like EC2, S3, EBS, EFS. Performed AWS Cloud administration managing and ETL operations and SQL querying on EC2, S3 and Amazon RDS. Participated in all phases of data extraction, data cleaning, data collection, developing models, validation, visualization. Developed Python to collect data to implement business transformation rules to the data to enable analysis of theories to occur. Analyzed, automated and visualized data and used ML techniques for classification and regression analysis. Performed model tuning and selection by using cross-validation, parameters tuning to prevent over fitting. Validated the machine learning classifiers using ROC Validated the machine learning classifiers using ROC curves Performed Data Profiling to learn about behavior with various features such as traffic pattern, location, Date and Time etc. Executed basic PLC programming (Ladder Logic) for machine automation
Electrical Engineering - Intelligent systems, Clemson University
Electronics and Telecommunication Engineering, D.K.T.E.
Implemented RLE (Run-length encoding) and LZW (Lempel–Ziv–Welch) codec algorithms and compared the space/time efficiency for various file formats (PPM image, text and binary).