Data Analyst Power Bi

Rushikesh Gosavi

Data Analyst Power BI Developer

Pune, India +91-928******* **********@*****.*** LinkedIn: linkedin.com/in/rushigosavi Resume Headline

Data Analyst with 3 + Years of Experience Power BI, Python, SQL, Tableau, DAX Expert in BI Dashboards, ETL and Data Storytelling Driving Business Decisions Through Analytics. Professional Summary

Result-driven Data Analyst with 3.1 years of experience in building data pipelines, optimizing dashboards, and performing deep-dive analytics using SQL, Python, Power BI, and Tableau. Proven ability to increase operational efficiency, reduce wait times (15%), and drive data- informed decisions in fintech and healthcare domains. Seeking to apply analytical skills to solve complex business problems in data-driven organizations. Technical Skills

Programming: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly)

Databases: MySQL

Data Visualization: Power BI (DAX, KPIs, Star & Snowflake Schemas), Tableau

Data Processing & ETL: Data Cleaning, Data Transformation, Excel Macros

Business Intelligence: Power Queries, Anomaly Detection, AI Tools

Machine Learning: Regression, Classification

Tools: Jupyter Notebook, Google Colab

Excel: Pivot Tables, VLOOKUP, HLOOKUP, INDEX-MATCH

Cloud: Azure, Snowflake

Professional Experience

Data Analyst CodeMake Technologies July 2022 – Present Project 1 : Fintech Investment Platform

Project Overview

Executed end-to-end data analysis for a fintech investment platform, leveraging SQL, Python, and Power BI to collect, clean, and visualize large datasets. Discovered investment trends and user behavior patterns, delivering insights that strengthened stakeholder decisions, drove a 15% rise in user engagement, and enhanced investment returns by 10%. Roles & Responsibilities

Analyzed investment trends across stocks, bonds, and crypto using SQL, improving asset allocation efficiency by 20%.

Developed Power BI dashboards for 10,000+ users, enhancing portfolio tracking.

Built predictive models to forecast returns and assess risks, increasing investment accuracy by 25%.

Automated alerts and reports, increasing responsiveness to market changes by 40%. Tools Used : SQL, Python (Pandas, NumPy), Power BI, Excel, Data Visualization Project 2: Healthcare Appointment Optimization

Project Overview

The Healthcare Appointment Optimization project is designed to enhance patient scheduling, minimize no-shows, and ensure optimal utilization of healthcare resources. By applying data analytics, machine learning, and visualization tools, the project streamlines appointment management, improves patient experience, and optimizes the availability of doctors and medical staff.

Roles & Responsibilities

Analyzed appointment data with SQL, reducing no-show rates by 20% and improving scheduling efficiency.

Created Tableau dashboards that reduced patient wait times by 15% by optimizing doctor availability.

Implemented demand forecasting models, improving scheduling accuracy by 18%.

Delivered stakeholder presentations with data storytelling, improving decision-making by 30%.

Tools Used : SQL, Python (Pandas, NumPy, Scikit-learn), Power BI, Tableau, Excel Education

B.Tech DBSKKV. Dapoli Apr 2022 Percentage: 71.70% Certifications

Post Graduate Program in Data Science and Engineering Great Lakes Executive Learning (via Great Learning) April 2024 Declaration

I hereby declare that the information provided above is true and correct to the best of my knowledge and belief

Your’s Faithfully

Rushikesh Gosavi

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