Data Analysis Engineer

Professional Certifications

● Boomi Professional API

Management

● Boomi Professional Data

Integration Developer

● Tableau Essential Training

● Google Data Analysis.

● Data Analysis using Excel.

Conferences

● Presented a “Research

paper” in International

Science conference on

Kombucha Fermentation

Technology using Machine

Learning (ISCCBIT’2019).

● Won Hackathon in “Data

Science” conducted by

Capgemini Tech Challenge

in CBIT, India 2021.

● Organized & Participated in

Model United Nations

Conference hosted by CBIT,

2021.

Akhil Jillella

Analytics Engineer Data Engineer

*****.********.**@*****.*** 315-***-**** 721N Clinton St, Syracuse SUMMARY

I’m a Data Analyst and Health Informatics Master’s graduate with over 3+ years of experience working on Data Analysis, Audit HR files, Handling, Integration, Transformation and Visualization and working on healthcare EDI transactions. Performed Statistical/Exploratory data analysis for identifying patterns and trends in data. Led various projects involving EDI Data Integration, Data Visualization. Experience in migrating, loading data. I am also experienced in creating interactive dashboards using Tableau that facilitate data-driven strategies. EDUCATION

● Masters of Science Health Informatics Data Science, State University of New York (01/23 –12/24) Relevant Course work: Health Informatics, EHR systems design, Advanced Data Analysis, Machine Learning, Database Applications, Quality Assurance in Healthcare.

● Bachelors of Engineering - Chaitanya Bharathi Institute of Technology, India (06/17 - 05/21) Relevant Course Work: Biotechnology, Biostatistics, Mathematics, Python, R, C Programming, Database Design, Biology, Medical Coding, Data Science Concepts, Bioinformatics. Professional Work History

Data Science Intern

Assuaged Foundation Inc., California May 2024 – Present

• Analysed patient data from EHRs and insurance company partners to identify trends in disease prevalence, treatment effectiveness, and cost containment.

• Designed interactive dashboards in Tableau and Power BI, providing actionable insights for care teams (physicians, nurses, and case managers).

• Conducted statistical analysis on patient outcomes to assess the impact of healthcare interventions and recommend optimizations.

• Ensured compliance with HIPAA regulations in handling sensitive patient data and assisting in market research on best practices for value-based care initiatives. Data Engineer – Telangana Dairy, India

(August,2019 – December,2022)

• Developed and implemented automated workflows using Dell Boomi to streamline the integration of milk sample test data, reducing manual data entry by 40%

• Utilized Boomi Integration to streamline the ETL process, extracting milk sample test data (pH test, fat test, protein test, bacterial count) from various sources.

• Performed data migration for health care industry clients from legacy databases to salesforce using BOOMI created spreadsheets, business intelligence applications.

• ETL pipeline (BOOMI Integration) to gather test sample data from various sources such as AWS S3, EDI, API(REST/SOAP) and other file formats (CSV, EXCEL, Flat, JSON formats) Electronic Data Interchange was designed to load data into Salesforce Accounts/Products objects understood 837I and 837P, Jira for project management

• Experience with RDMS, SQL Server and SQL for Handling and Operating and accurate reporting on Data.

• Helped Develop interactive Tableau dashboards to visualize key metrics like protein and fat levels and also collaborate effectively with cross-functional teams. Technical Skills

• Technologies: Python, SQL,

Java, R, MySQL, C

• Developer Tools: Git,

Postman, MS SQLServer,

MongoDB, PostgreSQL

• Platforms: Boomi, SAS, AWS

(S3, EC2), EPIC, Salesforce,

NetSuite, PowerBI, Tableau,

MS Excel, Snowflake.

Soft Skills

• Presentation skills, logical

thinking

• Cross-Functional team

Collaboration

• Relationship building and

networking.

• Clear and concise verbal and

written communication in

languages: English, Hindi,

Telugu.

Projects

Liver Cancer Prediction, ANOVA & SMOTE Data Analysis – SUNY, Syracuse (May,2024)

• Designed and implemented end-to-end machine learning algorithms for COVID-19 and liver cancer diagnosis, achieving 75% accuracy in predictive modelling.

• Conducted an extensive data analysis on liver cancer datasets, used SQL assessing the impact of healthcare disruptions COVID-19 on diagnosis, disease progression, treatment outcomes.

• Performed data collection, cleaning, and preprocessing techniques like SMOTE to handle missing values and balance datasets for improved model performance. Developed and evaluated multiple machine learning models, including Random Forest, SVM, Decision Trees, and TabNet, leveraging webmethods contrastive learning, adversarial training.

• Conducted statistical analysis on liver cancer datasets using hypothesis testing, ANOVA, and regression models to identify key factors influencing diagnosis and treatment and gained Agile development methodology Balamrutham Protein Powder Statistical Analysis – Telangana Foods, India. (Dec 2019)

• Conducted statistical analysis on Balamrutham protein powder using sample testing methods to ensure quality nutritional consistency created documentation.

• Utilized Excel, Power BI, and Python for data cleaning, visualization, and trends, correlation and regression statistical analysis and gained knowledge in HIPAA.

• Uploaded and managed datasets in SQL Server Database, Salesforce ensuring efficient data storage and retrieval. Created interactive Power BI dashboards to present insights on quality control and production trends. Volunteering

Database Analyst, New York Special Olympics, Syracuse ( Feb 2024 – May 2024)

• Entered, validated, and maintained Electronic Health Records (EHR) of Special Athletes with 99% accuracy rate, ensuring compliance with healthcare regulations.

• Utilized EHR Systems Software, Excel and tableau to track data trends and generate reports, assisting in patient care optimization.

• Worked closely with healthcare providers to verify patient data, reducing errors, improving EHR efficiency and technical user story development. Medical Volunteer, Upstate Medical University, New York (May 2023 – May 2024)

• Collaborated with healthcare professionals to design research protocols and assist patients, contributing to the successful implementation of Good Clinical Practice and gained experience in Patient Data Analysis using EPIC.

• Collected and managed clinical data and blood samples of patients to labs, assisting EHR’s entry for physicians and physician profiling discussed and interpreted treatment outcomes. Collaborated with physicians and interns on medical data analysis and hospital data management.

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