sunitha kanuri
Angestellt, Data Scientist, Arvato infoscore
Deutschland
Werdegang
Berufserfahrung von sunitha kanuri
Bis heute 6 Jahre und 11 Monate, seit Aug. 2017
Data Scientist
Arvato infoscore
Creating a machine learning model for fraud detection in online transactions. Using Deep learning framework mainly involving convolutional neural network and also leveraging inception v3 architecture for Fraud detection Used clustering algorithms & several Similarity approaches for device fingerprinting for Recognition score and trustworthy score. Built a whole new framework with different machine learning and deep learning algorithms together
1 Jahr, Aug. 2016 - Juli 2017
Research Assistant
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Anomaly detection in Graph-based data - Finding the malicious attacks in the network traffic (SCADA). - Using Support Vector Machines, Random Forest, K-nearest neighbors and K-means clustering techniques. - Got 98% accuracy and created new features the data in network data which can be used in the future.
11 Monate, Aug. 2015 - Juni 2016
Student Research Assistant
Lehrstuhl für Fertigungstechnik und Betriebsorganisation, TU Kaiserslautern
- Worked on Robotics framework and Humanoid Robot named ROBIN. - Worked on C++ for recognition of posture imitation by Robot. - For the best results, we used different learning algorithms like SVM, ANN, KNN, K-means, Random Forest. - SVM gave the best classification results.
EU project "SimpleSkin" - Wearable computing prototype, FPGA Programming/simulation - Activity recognition/data mining - Wrote a python script that read data from an IMU developed in-house and data mining - Preprocessed the data to account for normalization and removal of DC error, communicatedwith a classifier written in C++ to detect relevant gestures, sending results to a mobile (android/ios) device to perform activities based on the gesture.
3 Jahre und 2 Monate, März 2010 - Apr. 2013
software engineer
Microsoft & ICICI
- Replace the existing legacy Bond System with the Guidewire PolicyCenter. - CNA Risk Score -to replace the existing legacy risk Score system with the Guidewire PolicyCenter - Fixing the already released EPC LOBs enhancements and Incident-based work.
Ausbildung von sunitha kanuri
3 Jahre und 1 Monat, Sep. 2014 - Sep. 2017
Artificial intelligence
TU Kaiserslautern
Collaborative Intelligence, Semantic Technologies, BigData(Hadoop and SPARK), Data Mining, Autonomous Mobile Robots, Applications of Artificial Intelligence, Embedded Intelligence, Neural Networks, Computer vision.
3 Jahre und 8 Monate, Sep. 2006 - Apr. 2010
Computer Science
Andhra University
Distributed systems, OOPS, Artificial Intelligence, Database management systems, Micro services, Requirement engineering, Internet of Things, Automata Theory.
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Telugu
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Hindi
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