Data Analyst Power Bi

RHUNAL SONAWANE

*************@*****.*** +91-962******* Pune, India

PROFESSIONAL SUMMARY

Detail-oriented and results-driven Data Analyst with 3+ years of experience in leveraging data analytics, statistical modeling, and visualization tools to drive strategic decision-making. Proficient in SQL, Python, Excel, Power BI, and GCP, with hands-on expertise in building ETL pipelines, web scraping, inventory forecasting, and financial dashboards. Strong communicator skilled in translating complex data into action able insights for stakeholders.

TECHNICAL SKILLS

•Languages & Tools: SQL, Python, Excel, Power BI, Tableau, R, SAS

•Technologies: GCP (BigQuery), MongoDB, Hive, Git, Jira

•Techniques: Data Mining, Predictive Analytics, A/B Testing, Forecasting, Data Warehousing

•Soft Skills: Adaptability, Stakeholder Communication, Problem Solving, Research

PROFESSIONAL EXPERIENCE

CODEREACH SOFTWARE PRIVATE LIMITED

Pune, India

Aug 2022 – Present

PROJECTS

1.Insurance Claims Prediction & Fraud Detection Role: Data Analyst/Business Analyst Description:

Developed an Insurance Claims Prediction & Fraud Detection dashboard to analyze historical claims data, predict future claims, and identify potential fraudulent claims. Utilized Python for data manipulation, MS-SQL for database management, and Power BI/Tableau for visualization. Integrated machine learning models to detect fraud patterns and forecast claim amounts based on customer profiles and historical data.

Responsibilities:

•Cleaned and analyzed claims data using Python (Pandas, NumPy).

•Built ML models (Decision Trees, Logistic Regression) for claim prediction and fraud detection.

•Managed data storage and retrieval using MS-SQL.

•Designed dashboards in Power BI/Tableau for trend and risk analysis.

•Created data visualizations in Matplotlib and Excel.

•Presented insights to stakeholders using PowerPoint.

•Collaborated with cross-functional teams to enhance model accuracy. Technologies Used:

Python (Pandas, NumPy), MS-SQL, Power BI, Tableau, Machine Learning (Decision Trees, Logistic Regression), Matplotlib, Excel, MS-PowerPoint

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