About

Jaswant Jonnada is an accomplished professional with over 12 years of experience in the field of Data Sciences, Predictive Modelling, Business Analysis, and Software Engineering. He is an expert in Computer Vision, Deep Learning, and Artificial Intelligence. Jaswant has worked on a wide range of deep learning problems, including Computer Vision and Advanced NLP. He has experience in analysing and building models on a large scale data using the latest big data technologies like Apache Spark and Hadoop. Currently, Jaswant is working as a Senior Data Scientist at Walmart, where he has worked in the Pharmacy Operations Domain. He has led a team of 4 for a project to create a Pharmacy Operation Simulator of medicine dispatch using Bayesian networks including Markov Models and Latent variable Deep Learning models. Jaswant has designed and implemented various strategies for solutioning, data collection, model building, API development, and deployment. He has also worked on data science problem formulation, designing metrics for performance evaluation, representation of the inputs and outputs of the model, designing experiments for model building, and final model selection. Prior to Walmart, Jaswant worked as a Senior Data Scientist at Citi and as a Data Scientist at 24/7.ai. At Citi, he worked on problems related to IVR call classification and tagging, using techniques like Multi Label Modelling and Bayesian Optimization. At 24/7.ai, Jaswant worked on multiple customer service engagements for clients like Capital One, eBay, IBM, and Fidelity. He was responsible for identifying leakages and plugging them using predictive analytics and modelling, driving client revenues. Jaswant has a PGDM from the Indian Institute of Management, Indore, and a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from Osmania University. He is skilled in C++, Scala, R, Python (Flask, Tensorflow, PyTorch, Tkinter), Hadoop, Spark, Kotlin (Android), Docker, Apache Pig, SQL, and UNIX. He has experience in developing and deploying complex deep learning models using Tensorflow and Pytorch. Jaswant has also developed an annotation application on Tkinter-Python and a data collection application on Android. He is proficient in Linear Optimization Techniques for solving work allocation of certain stages of medicine dispatch flow, which enabled to process additional 12% work without change in the workforce. In summary, Jaswant Jonnada is a highly skilled and experienced data scientist with expertise in Computer Vision, Deep