Vishnu Vijayakumar

addt9g@r.postjobfree.com 513-***-**** www.linkedin.com/in/vishnu-vijayakumartg

https://github.com/Vish4github/ https://public.tableau.com/profile/vishnu6243#!/ EDUCATION

Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio Expected August 2020 Master of Science in Business Analytics (Graduate Assistant) GPA 4.0/4.0

• Relevant Coursework: Machine Learning, Statistical Methods & Modeling, Data Mining/Wrangling/Management

& Visualization, Forecasting & Time Series, Probability Models, Big Data Integration, Optimization, Simulation College of Engineering Trivandrum, Kerala, India May 2015 Bachelor of Technology, Industrial Engineering GPA 7.91/10 WORK EXPERIENCE

UC Office of Research, University of Cincinnati October 2019 - Present Graduate Assistant

• Explored and implemented a time-series forecasting model with an error rate of 4.7% to predict the number of awards and grants the university would receive in the coming fiscal year

• Designed and automated Tableau dashboards, replacing excel reports for enhanced data tracking and assessment of awards, grants and proposals for different colleges and departments within the university EY, India August 2015 - July 2019

Senior Analyst

• Performed feature extraction and classification of customer complaints for an IT services client using deep learning techniques to identify major areas of concerns and allocate resources to reduce resolution costs by 27%

• Collaborated with a 5-member cross functional team to develop a deep learning asset for an insurance client employing ConvNets to estimate the extent of damage on cars involved in accidents

• Managed a 7-member team and coordinated with 3 senior business partners in devising a clustering model for a client to optimize distribution network operations achieving 11% improvement in annual returns

• Employed JavaScript and python modules in Spotfire to develop a sophisticated scoring algorithm to tag and track high risk transactions across 70+ markets for a US client enabling an overall 21% annual cost reduction

• Guided a 6-member team, developing modules in R and D3.js for analysis of day to day power consumption patterns of US households to redesign the existing power distribution strategies for a P&U firm

• Streamlined and automated an end-to-end solution for a UK client using SQL and SSIS aimed at providing visual analytics capabilities in Tableau for optimized revenue planning eliminating manual intervention by 80% PROJECTS

• News Category Classification using Deep Learning: Employed Transfer Learning to build classification models using ULMFit and BERT to correctly classify news articles achieving state of the art accuracy levels of 76%

• Text Mining and Sentiment Analysis on User Reviews: Performed Sentiment Analysis on Amazon cell phone reviews and extracted major concerns of the users using Topic Modeling for all major brands

• Bankruptcy and credit card default prediction: Devised and evaluated machine learning models such as Logistic Regression, GLM, Random Forests and Neural Networks to predict Bankruptcy and credit card default SKILLS & CERTIFICATIONS

• Techniques: Deep Learning, Logistic Regression, Decision Trees, Random Forests, Bagging, Gradient Boosting, KNN, SVM, Clustering, PCA, Generalized Additive Models, Text Mining, Transfer Learning, A/B Testing

• Tools: Python, R, SAS, Tableau, SPSS, SQL, Apache Spark, Spotfire, Power BI, D3, Hive, SparkSQL, Xpress-MP, SSIS, Alteryx, Tableau prep, @Risk, ARENA, Excel, PowerPoint

• Certifications: Deep Learning Specialization – DeepLearning.ai, IBM Digital Badge - Python for Data Science and AI, Gold badge: SQL & Python – Hacker Rank, EY Analytics Bronze badge in Data Science and Data Visualization, HONORS & ACTIVITIES

Student Ambassador, University of Cincinnati August 2019 – May 2020 Quant Hub National Data Challenge, 3rd in University rankings October 2019