Analyse, study and present insights to the management from the varied data types available in the organisation focused across financial sector.Collaborate with Business Units, Business Analysts and Statisticians to develop machine learning and deep learning models to resolve multiple pain points of the organisation in domains including Risk and Fraud, Governance and Business Optimization.Research and Development of Adaptive AI/ML models in real-time, near real-time and batch processing environments.Data Extraction, pre-processing, fact analysis and EDA, visualisation and modelling of structured/unstructured data of large scale(TBs) datasets using programming languages such as Python, R, SQL, PySpark and toolsets including IBM SPSS, IBM Data Studio, Power BI/Tableau, MS Excel and storage system such as Datawarehouse including IBM DB2 and Data Lake with tools including IBM CP4D, Watson.Working on machine learning and deep learning frameworks and libraries such as Sci-kit Learn, statsmodels, Keras, TensorFlow, PyTorch.

Working and implementing machine learning algorithms with a focus in Computer Vision and related advanced statistics, image/video processing and AI/machine learning theories- Working on deep learning frameworks (i.e. Keras, TensorFlow, PyTorch, Caffe/Caffe2)- Implementing and optimizing YOLO, R-CNN, F-RCNN models using data sets like MNIST, MS-COCO, ImageNet etc. and solution specific imaging data to achieve high MAP score accuracies.- Working on OpenCV in Python for Object detection and localization, object tracking, semantic segmentation and image segmentation- Working on Linux or Windows based systems and Cloud development on platforms like AWS SageMaker.

Linux/AIX/Microsoft Server Administration for multiple servers, handling day to day monitoring, configuration and upgrades for applications running on the servers including Apache Web Servers, SAP landscapes, SAP support packs, Linux/AIX KernelsAutomate OS level monitoring tasks, to reduce human errors and thereby increasing productivity and availability for clients.Develop and implemented Service Improvement Plan involving performance improvement for end user satisfaction.Provide related Root Cause Analysis for problem tasks.Working in strong timelines and provided solutions to clients in Finland, Germany and UK within working Service Level Agreements.Present various presentations on both service side and client side for technology proof of concepts.

Information Security Intern:• Study and understand the IS Vulnerability Management Program of Innodata India consisting of:o Operating systemso Databases applicationso Web applicationso Appliances in the physical and virtual environment and implement same in Innodata Sri-Lanka & Manila. • Assisting internal audits of Innodata conducted by Global Technology Department as Associate Auditor, these audits were based on various Standards/Compliance i.e. HIPAA, ISO 27001, SOX 404 and SSAE-16 etc. • During Internal audits conducted by GT Compliance Group, understand the Innodata operation processes, evaluating their efficiency, effectiveness and compliance with corporate security policies & procedures. • Assist Auditors in GT Compliance to complete day in day out team work/ Operations and other activities assigned. • Worked on Security Manager Plus for Vulnerability Assessment, Proof of Concept of GFI Languard.