Data Analyst Machine Learning

MONALIKA MADUGULA

469-***-**** **************@*****.*** www.linkedin.com/in/madugula-monalika

SUMMARY

Results-driven Data Analyst with 3+ years of experience designing data pipelines, building predicƟve models, and delivering self-service BI dashboards. Proven experƟse in Python, SQL, Talend, and cloud plaƞorms such as AWS and Snowflake. Experienced in healthcare and supply chain analyƟcs, with strong skills in machine learning, staƟsƟcal analysis, and stakeholder-facing communicaƟon. Adept in Agile methodologies, data governance, and end-to-end data soluƟons that drive business impact. SKILLS

Data Analysis & VisualizaƟon: Python (Pandas, NumPy, Matplotlib, Seaborn), R (ggplot2), SQL, Advanced Excel, SAS, Power BI (DAX, M Language, Power Query), Tableau, Looker, Mode AnalyƟcs, Amazon QuickSight Machine Learning & StaƟsƟcal Modelling: Regression Analysis, A/B TesƟng, Time-Series ForecasƟng, Clustering, PredicƟve Modelling, Decision Trees, Random Forests, Scikit-learn, TensorFlow, SciPy, Prophet ETL/ELT & Data Engineering: Talend, Apache NiFi, Alteryx, SSIS, DBT(Data Build Tool), SnapLogic, MaƟllion, Apache Airflow, GCP Dataflow Tools: Jupyter Notebook, VS Code, PyCharm Databases & Data Warehousing: MySQL, PostgreSQL, MongoDB, SQL Server, Snowflake, AWS RedshiŌ, Google BigQuery, Azure Synapse AnalyƟcs Cloud Plaƞorms & Services: AWS (S3, Glue, RedshiŌ, QuickSight, EC2, RDS) GCP (BigQuery, Dataflow) Azure (Synapse, Data Factory) Data Management & Governance: Data Cleaning, IntegraƟon, Warehousing, NormalizaƟon, Metadata Management, Data Lineage, Data Stewardship, Data Catalogs (Collibra, AlaƟon) Healthcare AnalyƟcs

& Domain Knowledge: HIPAA Compliance, EHR/EMR, HL7, FHIR, ICD/CPT Codes, Claims AnalyƟcs, Inventory Metrics (Fill Rate, Stockout Rate, Supplier Index) Agile Project Tools & Methodologies: Agile, Scrum, Waterfall, Jira, Confluence, Git, Slack SoŌ Skills & CommunicaƟon: Stakeholder CommunicaƟon, Data Storytelling, PresentaƟon Skills, Cross-FuncƟonal CollaboraƟon EXPERIENCE

Cardinal Health, USA Data Analyst Jan 2025 – Present

Engineered end-to-end data pipelines using Talend and Apache NiFi, integraƟng data from ERP, CRM, and warehouse systems, improving data accessibility for real-Ɵme supply chain decisions.

Developed predicƟve models using Scikit-learn, TensorFlow, and Prophet for Ɵme-series forecasƟng and regression to improve demand accuracy and opƟmize medical inventory turnover.

Created interacƟve dashboards in Power BI and Looker using DAX and Power Query, enabling 40+ stakeholders to track key KPIs such as Fill Rate, Stockout Rate, and Supplier Performance Index.

Orchestrated data workflows using Apache Airflow, ensuring consistency and reliability across 10M+ records with robust data governance and validaƟon rules.

Designed and executed A/B tests to analyse vendor strategies, which improved delivery compliance by 25% and supported data- backed supplier selecƟon.

Conducted metadata management and implemented data lineage tracking using AlaƟon and Collibra, ensuring transparency and compliance in analyƟcs workflows.

Acted as a bridge between business users and technical teams, communicaƟng insights through storytelling to execuƟves and cross- funcƟonal stakeholders in Agile sprint reviews.

Collaborated in Agile/Scrum environments using Jira and Confluence to prioriƟze backlog items, manage sprint velocity, and deliver scalable, insight-driven soluƟons.

Experion Technologies, India Data Analyst Jun 2020 – Jun 2023

Built and maintained scalable real-time ETL/ELT workflows using Talend, GCP Dataflow, and Snowflake to unify hospital and retail datasets for 20+ projects.

Created Python-based clustering and classification models to predict patient outcomes and identify treatment effectiveness drivers, enhancing healthcare quality metrics.

Developed and deployed dashboards in Tableau, Mode Analytics, and Amazon QuickSight to monitor patient flow, inventory levels, and retail sales performance.

Applied regression and correlation analysis in R and Python to uncover trends in claims data and product success, influencing strategic planning.

Automated reporting processes in Excel, SSRS, and SAS, reducing manual efforts by 50% and improving reporting turnaround time.

Ensured HIPAA compliance and maintained EHR/EMR data integrity by aligning workflows with healthcare industry standards such as HL7 and FHIR.

Participated in Agile project lifecycles, conducting daily stand-ups, sprint retrospectives, and stakeholder demos using Jira, Git, and Slack.

Implemented data normalization and validation strategies across pipelines, ensuring clean, standardized inputs for machine learning and analytics models.

EDUCATION

Master of Science in Computer Science

University of Texas at Arlington GPA - 4.0 Arlington, TX, USA May 2025

Contact this candidate