Operations Analyst Power Bi

Isha Ghatule

Falls Church, VA +1-540-***-**** ****.*******@*****.*** LinkedIn

SUMMARY

• Business Operations Analyst with a strong track record in workflow optimization, process automation, root cause analysis, and aligning business strategies with data-driven insights.

• Proficient in statistical modeling, business forecasting, and data wrangling using Python, SQL, SAS, and JMP; experienced in ETL processes and performance benchmarking.

• Skilled in creating interactive dashboards and executive reports using Power BI, Tableau, and Excel to support strategic planning and cross-functional decision-making.

• Hands-on with tools such as AWS (EC2, S3, Lambda), SQL Server, MySQL, and Git, with domain expertise in financial modeling, churn analysis, and operational risk assessment.

SKILLS

Data Analysis & Modeling: Forecasting, Regression, Random Forest, MANOVA, Time Series, Logistic Regression, Clustering, Hypothesis Testing

BI Tools & Reporting: Power BI, Tableau, Excel (Pivot Tables, VLOOKUP, Macros, VBA), SAS Visual Analytics, Google Analytics Programming & Data Processing: Python (pandas, NumPy, matplotlib, seaborn), SQL, SAS, JMP, R (basic), Wav2Vec, YOLOv5, Git Data Infrastructure: AWS (EC2, S3, RDS, Lambda), PostgreSQL, MySQL, SQL Server, API Integration Process & Operations: SOP Development, Process Mapping, Workflow Automation, Resource Forecasting, Stakeholder Reporting Methodologies: Agile, SDLC, KPI Monitoring, Process Optimization, Data-Driven Decision Making EXPERIENCE

Operations Analyst Sanghani Center for AI & Data Analytics, Virginia Tech, VA Jan 2025 – May 2025

• Directed operational data reporting using Power BI, improving reporting accuracy by 30% and enabling agile event support.

• Streamlined visitor workflow processes through Python-based analysis, achieving a 30% gain in processing efficiency.Authored SOPs and institutional knowledge assets using cross-functional inputs, boosting team scalability.

• Created and maintained detailed SOPs (Standard Operating Procedures) and process documentation to support operational scalability and knowledge transfer.

Junior Data Scientist (Remote) Internship at Zummit Infolabs Bangalore, India March 2022 - July 2022

• Collaborated with sales leadership to analyze market data and architect interactive dashboards using PowerBI, Advanced Excel and Python and presented analytical insights to C-suite executives.

• Executed Random Forest Algorithm for machine learning models in a Team of 10

• Collaborated with a team for an application helping visually impaired citizens recognize currency notes through image detection techniques. Junior Data Analyst Internship at RedX labs Mumbai, India May 2022 - July 2022

• Architected machine learning models for a Natural Language Processing software project focused on recording and summarizing business meetings.

• Performed Wav2Vec models to enable audio-to-text conversion and completed first module of project. PROJECTS

Loan Default Prediction Model (Streamlit Deployment) May 2025

• Developed and deployed predictive model using XGBoost and SHAP on Streamlit to evaluate loan risks.

• Integrated model with GitHub and Colab pipelines for scalable deployment in financial institutions.

• Conducted data cleaning, model tuning, and feature engineering for real-time use case demonstration. BellaBeat Marketing Analytics March 2025

• Collaborated with 4-person team to analyze BellaBeat fitness data using JMP, Python, and SQL, delivering strategic marketing insights through comprehensive data visualization and trend analysis

• Extracted user behavior patterns and performance metrics from fitness tracking data, supporting product development and marketing strategy recommendations

Employee Welfare Analysis November 2024

• Built a comprehensive statistical analysis framework combining regression, MANOVA, and Z-tests to model employee strain and satisfaction trends across remote, hybrid, and on-site work settings.

• Developed dynamic Tableau dashboards and demand-control scatterplots with quadrant mapping to visualize operational risks and guide strategic HR decision-making.

Analysis and prediction of cyber-attacks in USA November 2023

• Using JMP, Identified key parameters and patterns correlated with corporate cyber-attacks, revealing a company's social standing and financial variables emerged to be most significant predictive factors. CERTIFICATION

• Base SAS and Visual Analytics, 2023

• Google Analytics, 2024

• Digital Marketing Analytics Simternship, 2024

• AWS Cloud Practitioner - Ongoing

EDUCATION

MSBA-Global Business Analytics Virginia Tech (NVC, VA) May 2025 BIT, Cyber Security Management, Virginia Tech (Blacksburg, VA) May 2024 B. TECH, Computer Science (Data Science) NMIMS University (Mumbai, India) May 2023

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