Data Scientist

MOUNICA SUBRAMANI

***** ******** **, *** *****, CA - 92127 617-***-**** *********.*@************.*** LinkedIn GitHub EDUCATION

Northeastern University, Boston, MA. Jan 2018 – Dec 2020 Khoury College of Computer Sciences - Candidate for Master of Science in Data Science

• Related Courses: Linear Algebra and Statistics, Algorithms, Supervised and Unsupervised Machine Learning, Visualization, Deep Learning

RMK College of Engineering and Technology, Chennai, TamilNadu, India. July 2012 – May 2016 Bachelor of Technology in Information Technology

• Related Courses: Database Systems, Data Structures, JAVA Programming, Object Oriented Programming TECHNICAL SKILLS

Languages/ Database : Java, R, Python, C++, MySQL, SQL Server Libraries : Scikit-learn, NumPy, Pandas, Matplotlib, Keras, TensorFlow, SciPy, PyTorch, Plotly, NLTK Frameworks : R Studio, Eclipse, GitHub, Jupyter, PyCharm, Docker, Tableau, LaTeX, Grafana, GCP, AWS, JIRA Concepts : Statistical Analysis, Time Series Analysis, Computer Vision, Deep Learning, Natural Language Processing, Parallel Processing, Visualization and Dashboarding, AGILE EXPERIENCE

Data Scientist Co-op – Biogen, Morrisville, NC Jan 2020 – Jun 2020

• Performed web scraping on DevonWay cloud-hosted enterprise application to collect text data from multiple reports, user comments and reviews, preprocessed unstructured data using data cleaning and text summarization techniques

• Devised an NLP algorithm with text mining and sentiment analysis, identified reasons for most negative impact of risks, and helped the team to focus on areas for improvement. Improved risk management by 40%

• Experimented and developed models to perform Topic Modeling, Entity Extraction, Word Embeddings

• Created a tableau dashboard for SQDEC metrics and hosted it in SharePoint to hold weekly huddle meetings virtually unlike traditional paper method, saving time by 76% and backing up data for future reference

• Presented overall work done during the Co-op to a larger group of Business and Data Science stakeholders

• Organized learning groups, conducted webinars and Kahoot games for the team in the space of Data Science Teaching Assistant – Northeastern University, Boston, MA (Spring’19, Spring’20, Fall’20) Jan 2019 – Dec 2020

• Assisted head faculty in teaching concepts of R Language, EDA, pre-processing, visualization, modelling and ML algorithms to a section of 70 Data Science graduate students and held office hours to help students reach academic goals Performance Engineer – Cognizant, Chennai June 2016 – Dec 2017

• Developed Java code for the Performance tool “JMeter” to automate redundant job - test scripts creation. Decreased manual work by 40% and increased team productivity Data Analyst (Intern) – Cognizant, Chennai Feb 2016 – May 2016

• Performed data mapping and transformed e-learning data sets to create analytical solutions for the improvement of e- learning programs in the organization, resulting in deep knowledge sharing among employees

• Presented analytical insights on assorted reasons for failure of e-learning modules among employees and strategies to improve it. Achieved 30% growth in the reach of e-learning modules among employees RELATED ACADEMIC PROJECTS

Super Resolution of Videos for Demographic Classification using SRGAN

• Implemented a Generative Adversarial Network model coupled with custom perceptual loss function in AWS for exploring video Super Resolution for demographic classification and presented the project in Quantiphi company Dog Breed Classification using Convolution Neural Networks

• Built a deep learning CNN model that identifies and classifies dog images. Achieved an accuracy of 75.9% while training the model with the Stanford dog dataset containing 20850 images that falls under 120 different classes Sentiment Analysis on Drug Reviews

• Predicted drug ratings based on patient reviews, compared the performance of various supervised machine learning techniques (Logistic Regression, Support Vector Machines, Recurrent Neural Networks, K Nearest Neighbors) and obtained an accuracy of 92% for SVM model

LEADERSHIP AND EXTRA-CURRICULAR

Co-Founder: Data Science Hub, Northeastern University

• Founded a Khoury Data Science Hub, approved by NEU for the students to interact with Professionals, Alumni to share knowledge about Co-op experiences, Full-time search, Project experiences Speaker: Women in Data(WiD) – Boston Chapter

• Speaker in WiD conference all across Boston for ~200 attendees from academia, industry, & government sectors

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