Weak Supervision, Large scale data retrieval and analysis, ML

Ramya Tekumalla

Atlanta, GA 678-***-**** *********@*****.***

Ph.D. Candidate in Machine Learning Master’s in Computer Science LinkedIn Personal Website Github Reserch Lab Website Google Scholar Research Interests

A computer scientist interested in mining large unstructured data sources and curating data sources specific to a domain. I adopt methods from machine learning, statistics, natural language and inference analysis to gather data and generate insights. I have mined over 14 billion Tweets for NLP tasks to gain insights for several applications like pharmacovigilance and most recently, characterizing the COVID-19 pandemic.

Education

Ph.D. in Machine Learning Jan 2018 - December 2021 Georgia State University, Atlanta, GA

GPA 3.89

Master of Science, Computer Science December 2014

Georgia State University, Atlanta, GA

GPA 3.86

Bachelor of Technology, Computer Science May 2013

GITAM University, Visakhapatnam, India

GPA 3.88

Technical Skills

Data Packages & Languages: Python, Java, R, C++

Machine Learning Frameworks Pytorch, Keras, Pandas, Numpy, Spacy, Scikit-learn, NLTK, Hugging Face, TensorFlow, and libraries: Simple Transformers, Snorkel

Interests: Text Classification, Natural Language Processing, Machine Learning, Data Sciences, Computational Social Science, Causal Inference, Crisis Informatics Cloud Technologies: AWS, Microsoft Azure.

Databases and Visualization: SQL, MySQL, PostgresSQL Matplotlib Other & Web Development: WinSCP, Putty, Linux, Windows, HTML, CSS, Javascript, PHP, XML, JSP, AJAX, Hibernate, Spring, GIT, SVN, JIRA, Jenkins,

Methodology: Agile Software Development and Scrum principles. Publications

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. Under Review. 2020. (Submitted to Nature Scientific Data)

Social Media Mining Toolkit (SMMT)". Geonomics and Informatics, 2020

Mining archive.org’s Twitter stream grab for Pharmacovigilance, AAAI, 2020

Characterizing drug mentions in COVID-19 Twitter Chatter. EMNLP 2020

Identifying Drug Mentions from Twitter using Weak Supervision - a Proof of Concept. Under Review. 2020

A large-scale Twitter dataset for drug safety applications mined from publicly existing resources (Accepted as a workshop paper at ACM-CHIL-2020)

Teaching

Adjunct Professor for “Principles of Programming for Data science I” [Spring 2021] at Georgia State University

Adjunct Professor for “Web Programming” [Fall-2018, Spring-2020] at Georgia State University

Lab Instructor for “Principles of Computer Science” [Spring-2019, Fall-2019, Fall 2020] at Georgia State University

Lab Instructor for “Theoretical Foundations of Computer Science (Discrete Math)” [Summer-2018] at Georgia State University Professional Experience

Rwaltz Inc Feb 2017 – Dec 2017

Software Engineer, Atlanta GA

Made enhancements to Ad-spend recommendation models using Linear Regression model.

Implemented python scripts to extract, transform and load data into MySQL database.

The recommendation model predicts the expenditure on marketing for different car dealers. Cerner Corporation Aug 2015 – Mar 2016

Software Engineer, Kansas City, MO

Developed RFP knowledge base, which is like an FAQ internal to the company.

Developed controllers for the application and integrated them with the view and model to display the data.

Made enhancements and developments to CareMobile, a windows application that monitors patient’s charts and linked to the Electronic Health Record.

Responsible for writing test cases, performed Unit, Functional testing and Regression testing. Sparity Inc Feb 2015 – Aug 2015

Android Developer, Atlanta, GA

Developed integrated location based services using Google Maps to display pharmacy locations.

Responsible for the UI in the Android application Professional Activities and Honors

Curated a research dataset for Covid-19 with 680+ Million Tweets about corona virus. As of September 14, 2020, 27,474 downloads were recorded - [dataset]

Current Covid-19 research was identified by different media platforms and was published on several news articles. [Article]

Invited by HP Labs for a talk on “Social Media Mining and Machine Learning”, July 2020

Presented posters at ICML 2020, NeurIPS 2020

Presented papers at ICWSM 2020, ACM-CHIL 2020, EMNLP 2020

Received a travel grant from WIML for ICML 2020 and NeurIPS 2020

Participated in COVID-19 BioHackathon in April 2020

Created a dashboard called “Pandemic Index” at Lumiata Hackathon in May 2020

Supervised Classification using Machine Learning Models for Information Retrieval and Sentence Extraction on Mental Health using Research Domain Criteria (Submitted to BioNLP-OST 2019). Third place in Shared Task Competition Leadership Activities

International Student Leader (Global Student Mentors) Jan 2018 – current As an International Student Leader at International Student & Scholar Services (ISSS) engaged with around 650 international, transfer and change of level students each semester to help them navigate academic and social life in Atlanta. Offered social, educational and residential support through – international orientation, peer mentoring, conducting workshops, information sessions, university & city tours

HackGSU 2018 - 2019

Organized and presented workshops on Web Programming at HackGSU. Science Olympiad 2018 Mar 2018

Served as the chair and judge for the “Game On” event, a game design competition for high school students.

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