EXPERIENCE
Partnered with various teams to build data-driven analytics
solutions, enabling improved decision-making through comprehensive data interpretation.
Utilized Tableau and Power BI to develop and maintain interactive dashboards, visualizing key business metrics to support management and operational teams.
Analyzed complex institutional data sets to uncover trends, optimize operational strategies, and provide insights into resource utilization.
Drove the adoption of best practices in analytics, automating key reporting processes to increase efficiency by 25%.
Program Analyst Aug 2021-Feb 2024
Indianapolis, IN
INDIANA UNIVERSITY
AKSHITA VENKAT PATRI
TOPEKA, KS **************@*****.*** 470-***-**** HTTPS://WWW.LINKEDIN.COM/IN/AKSHITA-PATRI/
KANSAS DEPARTMENT OF HEALTH AND ENVIRONMENT
Data Analyst Feb 2024-Present
Topeka, KS
Developed and maintained data dissemination tools, including Kansas Information for Communities (KIC) and Kansas Health Matters (KHM), using HTML, CSS, JavaScript, SAS, Tableau, PHP, XML, and R.
Managed large SQL-based healthcare databases and
automated performance reporting focused on clinical outcomes and compliance metrics.
Designed, implemented, and optimized relational databases and data pipelines using Python, SAS, and SQL, achieving a 30% improvement in execution times.
Conducted data profiling, transformation, and analysis of complex healthcare datasets to ensure accurate insights for public health decision-making.
Produced analytical reports, and presented data insights at public meetings and training sessions for community health assessment.
Collaborated on health assessment initiatives, and served on the KDHE Disaster Response Team.
HTTPS://GITHUB.COM/AKSHPATRI
Enhanced image recognition capabilities of a pet healthcare app by implementing Long Short-Term Memory (LSTM) and K-Nearest Neighbors (KNN) algorithms in Python.
Empowered pet healthcare functionality by implementing DeepLabCut for pet emotion detection.
Oversaw and preserved two Bitbucket repositories, while meticulously annotating over 400 images for computer vision model training.
Healthcare Computer Vision Intern Aug 2022-Dec 2022 Fishers, IN
FURTRIEVE
PROJECTS
Predicted the weekly air quality index using machine learning concepts such as Windowing Algorithm, Recurrent Neural Networks Algorithm, Gated Neural Networks, and Long Short-Term Memory.
Spring 2022
TIME SERIES ANALYSIS USING RECURRENT NEURAL
NETWORKS
Performed statistical analysis methods to analyze employees' mental health fatigue scores at their workplace using t-test, two-way ANOVA, Q-Q plots, and simple linear regression. Spring 2022
STATISTICAL ANALYSIS FOR MENTAL HEALTH AT
WORKPLACE
DATA ANALYSIS OF HOSPITALIZATIONS AND POLLUTION IN INDIANA
Fall 2021
Found an alliance between the Emergency Medical Services and AQI levels (county wise) of Indiana state using data analysis techniques (predictive models) such as logistic regression, XG-Booster, Random Forest Classifiers, etc. SQL and python pandas were used.
EDUCATION
Master of Science in Health Informatics
AUG 2021- MAY 2023 GPA- 3.75
INDIANA UNIVERSITY- PURDUE UNIVERSITY,
INDIANAPOLIS, IN
Bachelor of Technology in Computer Science Engineering July 2017 - June 2021 GPA- 7.9/10
GANDHI INSTITUTE OF TECHNOLOGY AND MANAGEMENT,
INDIA
SKILLS Python, R, Tableau, SAS, Excel, PowerBI, Linux, SQL, Medical Terminology, Bash, GitHub, C++, JavaScript.
CERTIFICATIONS
AMII Dec 2020
MACHINE LEARNING ALGORITHMS: SUPERVISED LEARNING
TIP TO TAIL
Indiana University Oct 2021
BIOMEDICAL RESEARCHER, COLLABORATIVE
INSTITUTIONAL TRAINING INITIATIVE (CITI) PROGRAM
University of Michigan Nov2020
CAPSTONE: RETRIEVING, PROCESSING, AND VISUALIZING
DATA WITH PYTHON