Keerthika Rajvel
720-***-**** adb0aw@r.postjobfree.com linkedin.com/in/keerthika-rajvel github.com/KeerthikaRajvel EDUCATION
Master of Science in Computer Science (Data Science sub-track) May 2021 University of Colorado Boulder GPA: 3.85
Hackathon: T9Hacks 2020 - Winner, Twitter API category Coursework: Machine Learning, Data Mining, Big Data Architecture, OOAD, Linear Programming Bachelor of Engineering in Computer Science May 2017 Anna University - First Class with Distinction GPA: 3.65 Coursework: Advanced Algorithms, Data Structures, Software Engineering, Artificial Intelligence, Data Analytics WORK EXPERIENCE
Graduate Assistant - University of Colorado Boulder Linear Algebra Aug 2019 - Present
• Conceptualize applications of Linear Algebra in CS, design and grade assignments for 90+ undergraduates Associate Business Analyst - ZoomRx Inc Healthcare Consulting Jun 2017 - Jun 2019 Developed ML-centric quantitative and qualitative models using Python and R to address key business questions of Fortune 500 pharmaceutical clients on critical financial, strategic and operational needs with Tableau and Power BI Data Science Projects
• Performed behavioral analysis using LSTMs and Graphext on different categories of US-based oncologists with respect to their prescription behavior, perception, and adoption of newer drugs
• Optimized promotional efforts of pharmaceuticals for oncology drugs o Recommendations led to 85% of salesforce interactions being highly impactful o Identified drivers and barriers resulting in an increase of 64% in usage and adoption Software Development Projects
• Built a treatment predictor system for Hepatitis C using Multilayer Perceptrons on Python and React with 92% accuracy
• Internal Initiatives:
o Built frameworks and end-to-end GUI using Python and VBA for a tool named 'Darwin' to automate repetitive analysis and visualization tasks which saved over 30 man-hours per week o Developed back-end for online access of in-house primary data using Python and MongoDB NLP Research Intern - ZoomRx Inc Deep Learning Text Classification Jun 2016 - Dec 2016
• Created a classification model called ‘Corpora’ segregating texts into labelled categories using Multi class- Multi label SVM algorithm and entity detection techniques in NLP with NLTK and SpaCy GRADUATE PROJECTS
SemEval 2020 Task 10: Emphasis Selection for Written Text in Visual Media Sep 2019 - Dec 2019
• Built a model to auto-identify words to be emphasised in a sentence with no contextual cues using BERT and BiLSTM + CRF in TensorFlow and Keras
Disaster Predictions Sep 2019 - Dec 2019
• Applied stacked LSTMs and ARIMA in TensorFlow to perform time-series analysis for calamity predictions UNDERGRADUATE PROJECTS
Surveillance System using Computer Vision and Neural Networks Aug 2016 - Apr 2017
• Implemented an autonomous hybrid system of CNNs and Computer Vision on NVIDIA’s CUDA platform Acoustic Dialect Decoder Jun 2014 - Sep 2015
• Built an autonomous speech translating system using recognition (HTK), translation (LSTM) & synthesis (HTS) TECHNICAL & SOFTWARE SKILLS
Python, R, MySQL, NoSQL, PostgreSQL, MongoDB, Tableau, Power BI, React, AWS SageMaker, GitHub Machine Learning Models: Regression, KNN, Naïve Bayes, SVM, Deep Learning, Ensemble models PAPER PUBLICATION Jul 2016
IEEE: A Survey of Voice Translation Methodologies - Acoustic Dialect Decoder, ICICES, 2016 - https://bit.ly/2lIXx1t