About

Prateek Aneja is a highly motivated and focused Senior Software Engineer at KPIT in Bengaluru with over 5.6 years of experience, including 3.3 years of experience in developing Machine Learning and Deep Learning projects. He is proficient in object-oriented design, data structures, problem-solving, complexity analysis, and debugging. Prateek has sound knowledge of Python, SQLite, MySQL, EDA, Tableau, and R. Prateek has built, trained, and deployed various Machine Learning algorithms like k means clustering algorithms, Decision Tree Algorithm, Random Forest Algorithm, Naïve Bayes Algorithm, KNN algorithm, etc. and implemented them in Python with Hyperparameter Tuning. He has also worked on Filter-based Feature Selection methods like Anova, Chi Square and Wrapper-based Feature Selection methods like RFE. Prateek has hands-on experience in Tensor Flow and Convolutional Neural Networks and PyTorch. Prateek has worked on several projects, including Retail projects for Accenture as a Senior Machine Learning Engineer in client company Tekishub Consulting Services LLC, Hyderabad. He has also worked on Data Engineering using Microsoft Azure cloud computing platform to pull the data from external sources, preprocess the data using Python, and push the data into Synapse DB. He is currently working as a Senior Analyst at Tiger Analytics. Prateek has a PG Diploma in Data Science from IIIT Bangalore and a Bachelor of Engineering in Computer Science from Manipal Institute of Technology. He has a relevant experience of 6.03 years and is proficient in various technologies like ML, Python, Software Engineer, Deep Learning, Random Forest, Hyperparameter, MySQL, Pytorch, Neural Networks, Big Data, CNN, Data Engineering, Data Scientist, SQL, Keras, Azure, Normalization, Apache Hive, Research Scientist, Tensorflow, AWS, Jupyter, XGBoost, Object detection, Seaborn, Sagemaker, RNN, OpenCV, Object Detection, Scikit, Pandas, Mobile, Backend, and Java. Prateek is a quick learner and is always eager to adopt new technologies.