Data Analyst Computer Science

Raja Duggirala

****************@*****.*** 786-***-**** Miami, Florida

Education

Florida International University August 2022 –April 2024 Master of Science in Computer Science.

Hindustan University July 2018 – May 2022

Bachelor of Technology in Computer Science.

Work Experience

Data Analyst

Lumeris HealthCare, USA May 2023 – Current

• Assisted in creating monthly financial reports using Excel and SQL, showing trends, variances, and projecting data for budget reviews and decision-making.

• Used advanced analytics to evaluate financial and healthcare records, identifying critical patterns and insights to guide executive decision-making and strategic planning.

• Improved operational efficiency by 30% by streamlining data operations and using advanced SQL optimization techniques to improve database response times and forecast accuracy.

• Worked with cross-functional teams to create Power BI dashboards and executive reports, enabling real-time visibility into key performance indicators (KPIs) for informed decisions.

• Used predictive modeling to optimize patient care pathways, increasing health outcomes and lowering hospital readmission rates by 20%.

• Successfully integrated many data sources, including EHR and claims data, to create patient profiles for individualized care and population health initiatives. Data Analyst

Florida International University. August 2022 – April 2023

• Oversaw data visualization projects with Tableau and Power BI, providing intelligent dashboards and reports to support business choices.

• Worked with cross-functional teams to use SQL for data analysis while converting business demands into data requirements.

• Reduced data mistakes by 20% by performing data transformation, validation, and cleansing to guarantee data accuracy and dependability.

• Performed data mining and statistical analysis to find patterns and insights that support datadriven strategies.

• Enhanced business intelligence capabilities and raised reporting efficiency by 48% through the development and maintenance of data models, dashboards, and reports. Data Analyst

Digibee July 2021 – July 2022

• To assist anticipate CPT (Current Procedural Terminology) and ICD (International Classification of Diseases) codes, data from Electronic Medical Records (EMR) was analyzed and reviewed.

• Extensive feature extraction, normalization, and cleaning were performed to ensure data quality and relevance.

• Assi develops and implements analytical models to identify trends and patterns in medical coding data.

• To improve forecast accuracy and evaluate model performance, statistical analytic techniques were used.

• Increased operational effectiveness through collaboration with medical experts to integrate analytical insights into automated medical coding procedures.

• Utilized statistical software programming to query many datasets while ensuring accuracy and resolving issues with data quality, extracting data from enterprise sources. Projects

Project Title: Medical Provider Fraud Detection 2023-2024 Tools/Technologies: Python, Machine Learning (ML)/DL algorithms, Data Visualization tools Key Responsibilities: Developing ML and DL models to detect fraudulent activities in medical billing data, implementing data preprocessing techniques, creating interactive visualizations for fraud patterns. Scope: Analyzing large datasets, identifying anomalies, and designing fraud detection algorithms to improve healthcare billing integrity.

Project Title: Sales Forecasting and ETL System Development 2018-2020 Tools/Technologies: Python, SQL, Tableau, ETL tools Key Responsibilities: Developed and implemented ETL pipelines for data extraction, transformation, and loading. Built predictive models for sales forecasting using machine learning algorithms. Created interactive dashboards in Tableau for data visualization and analysis. Scope: Designed end-to-end sales forecasting system integrating data from various sources, enhancing decision-making processes.

Skills

Programming Languages: Python, R and SAS

Data Manipulation: Pandas and NumPy

Machine Learning: Scikit-Learn

Data Visualization: Matplotlib, Seaborn, Tableau and Power BI Database Management: SQL, MySQL

Statistical Analysis: Hypothesis testing, regression analysis Natural Language Processing (NLP): NLTK, SPACY.

Deep Learning: Keras, TensorFlow, and PyTorch.

Cloud Computing: AWS, Flask, Heroku

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