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vaishnavibhamare-24/README.md

👋 Hi, I'm Vaishnavi

Data Analyst • BI Engineer • Data Engineer • AI/ML Enthusiast

✨ About Me

🎓 MS in Advanced Data Analytics @ University of North Texas (GPA: 4.0)
💡 3+ years of experience transforming data into actionable insights and intelligent solutions
🚀 Passionate about analytics, scalable data systems, and AI
📍 Texas, USA | Open to relocation

💼 Experience

🔹 Research Assistant

University of North Texas, Texas, USA
📅 Jan 2025 – Present

  • Analyzed large-scale simulation datasets to evaluate system performance and deliver actionable insights
  • Built optimized SQL + Python workflows for ETL and data validation
  • Defined KPIs and translated business requirements into analytical solutions

🔹 Teaching Assistant

University of North Texas, Texas, USA
📅 Aug 2024 – Present

  • Mentored students in data analytics concepts and tools
  • Supported assignments, grading, and real-world problem-solving

🔹 Business Intelligence Engineer

Capgemini, India
📅 Aug 2023 – Jul 2024

  • Analyzed 120K+ records → improved decision turnaround by 25%
  • Built Power BI dashboards → reduced reporting dependency by 35%
  • Optimized SQL queries → improved performance by 30%

🔹 Data Analytics Intern

Tata Power, India
📅 Feb 2023 – Jul 2023

  • Built automated pipelines (Python + SQL) → 60% faster processing
  • Applied anomaly detection for energy systems
  • Conducted statistical analysis for predictive maintenance

🔹 Data Analytics Engineering Intern

Center of Excellence Lab, VJTI, India
📅 May 2022 – Jan 2023

  • Processed 100K+ simulation records for trend analysis
  • Supported forecasting and model evaluation
  • Improved preprocessing efficiency by 40%

🔗 Connect With Me

🧠 Technical Arsenal

📊 Data Analytics

Data Analysis EDA Statistical Analysis Hypothesis Testing Data Cleaning Data Validation Feature Engineering KPI Development

📈 Business Intelligence

Power BI Tableau Dashboarding Data Visualization Drill Down Business Metrics Reporting

🤖 AI / Machine Learning & Generative AI

Machine Learning Regression Classification Clustering Model Evaluation Anomaly Detection Generative AI LLMs Prompt Engineering RAG Vector DB Agentic AI

⚙️ Data Engineering

ETL Data Modeling Integration SQL Spark Hadoop

☁️ Cloud Platforms

AWS S3 EC2 GCP BigQuery

💻 Programming & Tools

Python Pandas NumPy Excel Git Jupyter Jira

🎯 Core Strengths

  • End-to-End Data Analytics
  • BI & KPI Strategy
  • SQL & Data Engineering
  • Applied Machine Learning
  • Generative AI (LLMs, RAG, Agents)
  • Strong Problem Solving

🏆 Achievements

🏅 Phi Kappa Phi – Academic Excellence Award (Top 10% of Graduate Students)

💡 Profile Views

Pinned Loading

  1. American_Airlines_Flight_Arrival_Delay_Prediction American_Airlines_Flight_Arrival_Delay_Prediction Public

    End-to-end data analytics and machine learning project focused on predicting flight arrival changes using operational flight data and real-world weather data from NOAA.

    Jupyter Notebook

  2. Advanced-Sonar-Signal-Classification Advanced-Sonar-Signal-Classification Public

    This project builds a machine-learning system to classify underwater sonar signals as mines or rocks. Using PCA for dimensionality reduction and XGBoost for high-accuracy prediction (~95%), the mod…

  3. Blinkit-PowerBI-Dashboard Blinkit-PowerBI-Dashboard Public

    This project features an interactive Power BI dashboard that analyzes Blinkit grocery sales across outlet types, product categories, and customer ratings. It highlights key KPIs, sales trends, and …

  4. Car-Sales-Dashboard-PowerBI Car-Sales-Dashboard-PowerBI Public

    This project features an interactive Power BI dashboard that analyzes car sales across models, segments, and regions. It highlights key metrics like sales, profit, discounts, and quantity to help i…

  5. Super-Store-Sales-PowerBI-Dashboard Super-Store-Sales-PowerBI-Dashboard Public

    This Power BI dashboard provides insights into the performance of a Super Store dataset, focusing on sales, profit, quantity, and customer behavior across regions, categories, and time. The goal is…

  6. Cloud-Based-KPI-Monitoring-ETL-Pipeline-AWS-S3-Python-MySQL- Cloud-Based-KPI-Monitoring-ETL-Pipeline-AWS-S3-Python-MySQL- Public

    An end-to-end ETL pipeline that automates data ingestion, cleaning, validation, and KPI generation using AWS S3, Python, and MySQL. The system ensures high-quality data and delivers actionable busi…