Nityashree Pannerselvam

• Found client related cases with could be potential complaints using sentiment analysis.
• Predicted People risk using data points with neural networks and grouped auditable entities with classification and clustering techniques
• Took lead and developed automation tool in python for Risk and controls standard procedures in collaboration with plotly, D3 and Django.

• Scaled analytical capabilities across all different LOBs, evolving analytics to optimize operations within the bank
• Worked on tools like Snorkel and Ignite for Info Extraction
• Used Computer Vision and NLP algorithms like GANS, FRCNN, Naïve Bayes, Bert, etc to analyze and solve business problems like document classification with OCR and Super Resolution
• Watermark removal by using image processing techniques and Classification of passport and non passport documents using Yolov5 and Vgg16
• Creating an automated lookup tool to match suppliers list with data dumps and creating a spend analysis template using fuzzywuzzy
• Streamlined the data sourcing by creating sql tables stiching various sources and automated loading data through python
• Coached, developed and motivated team members, providing coaching and mentoring to junior data scientists on environment set up and data mining techniques.

• Building predictive models for decision making regarding the component's performances and failures using Linear Regression and Weibull
• Engaged in data analysis & visualization, data mining and business intelligence and Identify data gaps and work with concerned groups toward filling the data gaps
• Cost reduction analysis for Supply chain and orders in case of reliability
• Predicting life time of a component (risk analysis)
• CART using python for multi- step failure prediction of a product
• Building a search engine in the database sheet and providing recommendation of similar products using TF IDF
• Leading a team of 7 to deliver a computer vision project
• Building Deep learning models for identifying the objects in a image and intensity of anomalies using Deeplabv3, Densenets.
• Introducing Digital gift cards for redemption consuming new services( WCF and Rest)
  • Team Coordinating with multiple interfacing teams.Drive all the pre-installation and post-installation procedures, implementation planning

• Optimization of cash in ATM : Collected data on ATM ids , Location, Holidays and amount of dispense to predict the amount needed to be in the machine for the day using R, Big Data tools and Tableau