Chandrika SP

Data-driven AI and cloud practitioner, Software Engineer and Data Science enthusiast 4+ years experience in software and IT services delivery. Developed classical and ML algorithms for regression and task specific requirements

I am machine learning (ML) engineer and data scientist, with 4+ years experience in software, AI, and IT services delivery industrial experience and over a year of research experience in ML domain.

I started my career as a Software Functional Tester, client being Pharmaceutical industry. I pursued a master's in autonomous systems course. Core subjects being artificial intelligence (AI), neural networks (NN), ML, natural language processing (NLP) and advanced software development. 

During the graduation I was involved in a variety of research projects for ML based applications. I did my research on anomaly detection by foreseeing using generative models (GAN & VAE). Have industrial experience on developing Proof-of-Concept (PoC) for a text anonymization project. Performed AWS cost optimization, resulting in more than 50% cost savings in monthly bills. My current research work was on topic "Time series forecasting using simulation-accelerating surrogate models".

Recently, I have been associated with GESIS as a research assistant. I have developed a website for the ”Unknown Data” project and am a NLP engineer.

M.Sc, Hochschule Bonn-Rhein-Sieg, Sankt Augustin, Bonn, Germany
MARCH 2019 — PRESENT
Course: Autonomous Systems (Department of Computer Science), GPA : 2.59

B.E, M S Ramaiah Institute of Technology, Bangalore, Karnataka, India
Course: Instrumentation Engineering (Department of Electronics & Instrumentation Engg) , GPA: 1.7