Graduate Assistant
Resume:
Praneeth
Reddy
Amudala
Puchakay
ala
Graduate Assistant at
University of Alabama
at Birmingham
Contact
Address
Birmingham, AL, 35208
Phone
appraneethreddy01@gmail.
com
appr01.uab.edu
www.linkedin.com/in/appr0
1
Skills
Python
C Language
Java Script
PostgreSQL
D3
I am a passionate Data Science Student striving to win challenges that add to the learning curve to stay competitive. Highly motivated to learn, grow and excel.
Work History
2020-06 -
Current
2019-05 –
2019-12
2018-05 -
2018-06
Graduate Assistant
University of Alabama at Birmingham, Birmingham, AL
I deal with multiple inputs types such as CT images, patient health record and clinical signals
I perform statistical analysis and build machine learning models to diagnose and predict the
progression of pulmonary diseases. Capturing latent features of an image using Deep Learning.
Also working with parallelize/distribute deep learning in multi-core and distributed setting to speed up the training of the models. Involved in medical database maintaining.
Internship
Aurora e-Labs Pvt Ltd, Hyderabad, Telangana
I was involved in the pre-processing of the dataset qualitative information was converted to quantitative data,including data cleaning. The dataset was
converted into multiple table using the database
approach- entity relationship diagram.
Predictive Analysis and Supervised learning methods of correlation, linear regression and ANOVA was
done. Later, Unsupervised learning method was also applied. Rather, it uses descriptive statistics to examine the natural patterns and relationships that occur within the data and does not predict a target value.
Internship
Verzeo, Hyderabad, Telangana
Worked closely with Data Scientists to built binary classification model for to do a credit risk analysis
Performed Exploratory Data Analysis and build
visualization using d3.js .
Hadoop
R
Interests
Exploratory Data Analysis
Statistical Inference
Data Visualization
Machine Learning
Deep Learning
Bayesian Inference
Education
2020-01 -
Current
Master of Science: Data Science
University of Alabama At Birmingham - Birmingham, AL 2015-08 -
2019-07
Bachelor of Science: Computer Science And
Engineering
Jawaharlal Nehru Technological University - Hyderabad Projects
Understanding the impact of social determinants of health on COVID-19 outbreak: Aim to describe how the COVID-19 burden relates to the county-level social determinants of health (SDOH). Performed various unsupervised algorithms and dimensionality reduction technique in order find the latent features and clusters. The typologies of the final clusters were summarized with descriptive statistics and visualized as an interactive map
Classification model for identifying the patient to detect COPD: Based on the image data feature built the TABNET Classifier to predict whether the patient as COPD or not.
Prediction of lung function decline: It is a research project based on CT scans and longitudinal data,used quantile regression and efficient net to predict lung function decline over the period from the baseline.
COVID-19 dashboard: Developed a dynamic visualization dashboard using the D3.js. Dashboard consists of bar race chart, trend lines and pie charts for understanding the COVID-19 trends in multiple countries
Farming information and interactive technical assistant web service: Developed a web application which provides communication interface between the farmers and the scientists. Where, farmers can post they queries/problems regarding the crops and scientists gives appropriate solutions. Moreover, scientist gives suggestions to the farmer about the crops based on the location of the farming, previous crop, etc.
Accomplishments
Second place in American Heart Association (AHA), COVID-19 Data Challenge.
“AI for daily usages” at Fusion conducted by Computer Society India (CSI)
.
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