About

Karan Arora is a highly skilled Data Scientist with a passion for Machine Learning, Project Deployment, and Optimization. He is currently working on building a healthcare project for the next COVID. Karan is a Renaissance polymath with a keen interest in Financial Modeling and E-Commerce. He has worked on a plethora of huge datasets and projects, solving problems using various algorithms such as AutoEncoders, Logistic Regression, General Adversarial Networks, Kernel SVM, Random Forests, XGBoost, and Neural Network algorithms. Karan has also ventured into Basket Segmentation and Recommendation Models - Apriori. He is a researcher in the AI/ML domain and has actively contributed to the development of Deep Learning and Machine Learning models that solve medical problems. Karan is skilled in statistical analysis and data reconfiguration, data collection, preprocessing, and analysis using tools such as Scrapy, Seaborn, Matplotlib, Pandas, Scilab, Sklearn, Keras, and TensorFlow. Karan's past experience includes working as a Data Scientist at MadrasMED, where he was responsible for statistical analysis, data presentation, and building deep learning and machine learning models to solve medical problems. He has also worked as a Secretary at Toastmasters International, where he maintained club records and correspondence. Karan holds a degree in Engineering from Chitkara University and a PGD in Applied Statistics from CCS University. He has a strong tech stack that includes Data Scientist, Research Scientist, ML, Keras, Deep Learning, SVM, XGBoost, Pandas, AI, Adversarial Networks, OpenCV, NLP, SQL, Python, Neural Networks, Seaborn, and Scikit. With 4.86 years of relevant experience, Karan is a highly skilled and motivated Data Scientist with a proven track record of delivering results.