Data Analyst Power Bi

ROHAN PATEL DATA ANALYST

NJ +1-929-***-**** ******.****@*****.*** LinkedIn

SUMMARY

Data Analyst with expertise in Python, SQL, Tableau, and Power BI, skilled in data cleaning, visualization, and predictive modeling. Experienced in building machine learning models, managing databases, and implementing ETL pipelines to optimize data workflows. Adept at transforming complex datasets into actionable insights to drive decision-making and business outcomes across industries like healthcare, finance, and retail.

SKILLS

Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, R Data Visualization: Tableau, Power BI, Scikit-Learn, TensorFlow, PyTorch, NLTK, SpaCy, Gensim, Databases: MySQL, PostgreSQL, MongoDB, Oracle DB, Redshift Big Data Technologies: Kafka, Hadoop, Spark

Data Analytics Tools: Excel, Google Sheets, SAS, SPSS Cloud Services: AWS (S3, EC2, Redshift), Google Cloud Platform, Azure (Synapse Analytics) Statistical Tools: Statsmodels, SciPy, Regression Analysis, Hypothesis Testing, A/B Testing Version Control & ETL Tools: Git, GitHub, JIRA, Confluence, Alteryx, Talend, Apache NiFi Operating Systems: Linux, Windows, macOS

EXPERIENCE

Molina Healthcare, USA Sep 2023 – Present

Data Analyst

• Analyzed large healthcare datasets using Python and SQL to generate actionable insights for Medicaid and Medicare programs, ensuring improved patient outcomes and program efficiency.

• Designed and deployed interactive dashboards and reports in Tableau and Power BI to visualize healthcare KPIs and support data-driven decision-making.

• Performed statistical analysis, including hypothesis testing and regression modeling, to uncover trends and optimize healthcare delivery strategies.

• Partnered with cross-functional teams to develop and streamline ETL pipelines, enabling efficient data integration across cloud platforms and source systems.

• Ensured data accuracy and compliance with Medicaid and Medicare regulations by managing and querying healthcare provider and patient data.

• Built predictive machine learning models to forecast healthcare trends, aiding in resource allocation and cost reduction initiatives.

• Conducted advanced analysis using Excel, SAS, and SPSS to identify utilization patterns, supporting enhancements in government-sponsored healthcare programs.

• Collaborated with stakeholders to deliver insights that informed strategic initiatives, enhancing operational efficiency in Medicaid and Medicare services.

HCL Tech, USA May 2020 – Aug 2023

Data Analyst

• Analyzed and processed large datasets using Python and SQL for industries including insurance, banking, and IoT, providing actionable insights that drove business process improvements.

• Designed and developed interactive dashboards in Tableau and Power BI, enabling clients to track KPIs and identify trends across sectors such as retail, finance, and insurance.

• Built predictive machine learning models to forecast customer behavior and business trends, improving operational efficiency and service delivery for clients.

• Optimized and implemented ETL pipelines to streamline data integration and processing on cloud platforms, enhancing data flow and system interoperability for clients.

• Conducted statistical analyses, including hypothesis testing and trend analysis, to generate insights that informed decision- making in business process outsourcing services.

• Managed and maintained relational databases like MySQL and PostgreSQL, ensuring secure and efficient storage of sensitive financial and customer data.

• Executed data validation and transformation processes to ensure accuracy and reliability of datasets, supporting robust reporting and analysis for client systems.

• Collaborated with cross-functional teams to design scalable data solutions that addressed client requirements and met industry compliance standards.

• Delivered insights and recommendations to stakeholders, driving strategic initiatives that improved business outcomes across multiple client industries.

EDUCATION

Bachelor in Information & Technology Aug 2016 - Feb 2021 Gujarat Technological University India

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