Riya Shah
Data Analyst at Springbuk- Claim this Profile
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Bio
Harsh Shah
I have studied and worked directly with Riya Shah at Babaria Institute of Technology for approximately four years. She is always willing to perform tasks above and beyond her regular job requirements and is at all times courteous and friendly with her peers. I am particularly impressed Riya's Machine Learning development skills and Time- Management skills. It is my pleasure knowing her. She is an excellent asset to any organization.
Harsh Shah
I have studied and worked directly with Riya Shah at Babaria Institute of Technology for approximately four years. She is always willing to perform tasks above and beyond her regular job requirements and is at all times courteous and friendly with her peers. I am particularly impressed Riya's Machine Learning development skills and Time- Management skills. It is my pleasure knowing her. She is an excellent asset to any organization.
Harsh Shah
I have studied and worked directly with Riya Shah at Babaria Institute of Technology for approximately four years. She is always willing to perform tasks above and beyond her regular job requirements and is at all times courteous and friendly with her peers. I am particularly impressed Riya's Machine Learning development skills and Time- Management skills. It is my pleasure knowing her. She is an excellent asset to any organization.
Harsh Shah
I have studied and worked directly with Riya Shah at Babaria Institute of Technology for approximately four years. She is always willing to perform tasks above and beyond her regular job requirements and is at all times courteous and friendly with her peers. I am particularly impressed Riya's Machine Learning development skills and Time- Management skills. It is my pleasure knowing her. She is an excellent asset to any organization.
Credentials
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SQL: Data Reporting and Analysis
LinkedInSep, 2020- Sep, 2024 -
Project Management Simplified
Lynda.comJun, 2018- Sep, 2024 -
Big Data Fundamentals - Level 1
IBMFeb, 2017- Sep, 2024
Experience
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Springbuk
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Data Analyst
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Jan 2022 - Present
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Johnson & Johnson
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Law Practice
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1 - 100 Employee
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Pharmaceutical Data Analyst
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Jan 2021 - Dec 2021
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Informatics Analyst/Healthcare Data Analyst
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Sep 2020 - Jan 2021
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University of South Florida
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United States
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Higher Education
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700 & Above Employee
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Health Outcomes Researcher
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Sep 2018 - Aug 2020
Using advanced machine learning (Random Forests, Gradient Boosting - LightGBM, Ensemble models, neural net models using Keras and TensorFlow) to perform a clinically meaningful analysis and prediction of Length of Stay and Mortality Rate of the top 7 risky procedures. Objectives: Analyze Length of Stay (LOS) and Mortality Rate of data. Develop a model that can aid reduction in the LOS and MR. Cluster doctor’s diagnosis into diseases based on ICD-9 and ICD-10 codes. - Using methods such as data harmonization, feature engineering and data normalization techniques. - Data with 14 Million patient records with ICD-9 and ICD-10 procedure codes. - Discover reasons and hidden insights for the observed Mortality rate and LOS. - Predicting the disease cluster(ICD codes) based on the symptoms (features) provided(patient's EHR). - Using amazon SageMakers, S3 buckets for computational purposes. Show less
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Saint Peter's University
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United States
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Higher Education
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500 - 600 Employee
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NLP Data Scientist
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Mar 2019 - May 2020
Performing advanced data science techniques on the YELP dataset with to build a machine learning model which generates topics that has a negative effect on the business. The results can be utilized for enhancing customer satisfaction and retention for the business. For this purpose using NLP techniques on 400K data and performing topic modeling on customer reviews to find most discussed topics(test analytics). Bifurcated the customer reviews into two parts: Summer and Non-Summer, and performed analysis on each to discover seasonality effects on reviews. Techniques used : EDA, Data Cleaning, Text Preprocessing, LDA (Latent Dirichlet Allocation), NMF (Non-Negative matrix factorization), Topic Modeling on Nouns, Entity Recognition, Latent Semantic Analysis, N-Grams(unigrams, bigrams, trigrams, 4-grams and 5-grams), TF-IDF, Naïve Base (Text Classification) Visualizations (Word Phrase, Word Nets, and Word Clouds). Show less
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Internshala
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India
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Education Administration Programs
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700 & Above Employee
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Internshala Student Partner
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Jan 2017 - Aug 2017
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Samay Software
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India
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Software Development
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1 - 100 Employee
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Data Analyst
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Jun 2015 - May 2017
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Education
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Saint Peter's University
Master of Science - MS, Data Science -
2013 - 2017
BITS Edu Campus: BABARIA INSTITUTE
Bachelor of Engineering - BE, Computer science and engineering
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