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Vsagveka/README.md

Welcome aboard,

I'm Vaibhav Sagvekar👋

🎓 MS in Information Systems @ Syracuse University (Graduating May 2026)
📊Marketing Analytics | Business Analytics | Data Science| 🤖 Exploring AI for Business, Marketing, Customer Analytics & Predictive Modeling

🎯Code with purpose. Analytics with direction. Solutions with value

LinkedIn

🌟 About Me

🎓 MS in Information Systems graduate student at Syracuse University (May 2026)
💼 Experience through academic, hackathon, and leadership projects across analytics, marketing, and risk domains
📊 Passionate about customer analytics, segmentation, dashboards, and data-driven storytelling
🧪 Skilled in A/B testing concepts, funnel analysis, KPI tracking, and business experimentation
🧭 Strong in project coordination, documentation, stakeholder communication, and team leadership
🚀 Focused on driving growth, retention, and personalization using analytics and insights
🤖 Exploring AI and LLM-powered marketing tools for automation, personalization, and insight generation
✍️ Enjoy blending creativity with analytics through storytelling, presentations, and strategy decks

Stories persuade, data convinces and together they inspire


🔧 Skills & Tools

📈 Marketing Analytics

  • Customer Segmentation (RFM, Cohorts)
  • A/B Testing & Experiment Design
  • Funnel Analysis
  • SEO, STP, Pricing Strategy
  • Sentiment Analysis, Conjoint Analysis, Mix Modeling

📊 Data & Business Analytics

  • Python (Pandas, NumPy, Matplotlib, Scikit-learn)
  • R (tidyr, ggplot2)
  • SQL (PostgreSQL, MySQL, SQLite, Azure Data Studio)
  • Tableau, Power BI
  • Excel(Pivot Tables, Power Query, XLOOKUP, Data Cleaning, Dashboards, VBA Automation)

🛠 Other

  • Git & GitHub
  • Jupyter Notebooks
  • Google Analytics (GA4)
  • Jira, Agile & Gantt-based project planning

🚀 Featured Projects

🔋 Predictive Analysis for Energy Consumption

Tools: Python, XGBoost, Data Integration, Agile

  • Analyzed 34,000+ hourly building and weather records to identify energy drivers
  • Built and validated XGBoost forecasting model (RMSE: 0.34, R²: 0.60)
  • Proposed optimization strategies leading to 15% reduction in energy usage
  • Managed milestones using Agile methods and Gantt charts

🏙️ NYC Housing Market Analysis

Tools: Python (Pandas, NumPy), Geospatial Analysis, Statistics

  • Integrated property, crime, and transit datasets (4,800+ records) using Haversine proximity matching
  • Engineered features like price_per_sqft, felony_share, stations_within_800m
  • Found 63% variance explained by location & safety factors, supporting pricing strategy insights
  • Delivered actionable market positioning recommendations

🛒 Marketplace Risk Analysis & Mitigation (COSO ERM)

Tools: Risk Modeling, COSO Framework, Business Analysis

  • Identified 40+ operational, digital, supply chain, and workforce risks via interviews and field visits
  • Built Probability × Impact² risk prioritization model with cost–benefit tie-breakers
  • Designed Risk Register, Risk Matrix, and KRIs for proactive monitoring
  • Created disaster recovery and continuity strategies using digital controls

📰 Fake News Detection System

Tools: NLP, Machine Learning, Python

  • Trained Passive Aggressive and Logistic Regression models on 30,000+ news articles
  • Achieved 83% accuracy and reduced false positives by 25%
  • Built preprocessing pipelines and explainability reports
  • Led full project documentation and evaluation reporting

🔧 What I Work With

📊Data Analysis & Visualization

Tableau · Power BI · Excel · SQL · Statistical Analysis
Focus: KPI dashboards, customer insights, trend analysis, and business storytelling

🧠Marketing & Business Analytics

Customer Segmentation (RFM, Cohorts) · A/B Testing · Funnel Analysis · SEO · Pricing Strategy Focus: growth metrics, retention analysis, campaign performance, and personalization insights

💻Programming & Automation
Python (Pandas, NumPy, Matplotlib, Scikit-learn) · R (tidyr, ggplot2) · Git · Jupyter Notebooks
Focus: data cleaning, feature engineering, predictive modeling, and analytics automation

🗄️Databases & Data Management

MySQL · PostgreSQL · SQLite · Azure Data Studio · SQLAlchemy
Focus: structured data modeling, querying, and analytical dataset preparation

🤖AI & Intelligent Analytics

Prompt Engineering · NLP Basics · Sentiment Analysis · Predictive Modeling Focus: AI-assisted insights, marketing automation concepts, and intelligent decision support

🧭Project & Collaboration Tools

Jira · Google Analytics (GA4) · Documentation & Presentation Tools
Focus: stakeholder communication, project tracking, and insight delivery


🧰 Tech Stack

Python R SQL Power BI Tableau Snowflake AWS Azure Git


🏆 Leadership & Activities

  • Vice President — iSchool Graduate Organization (ISGO)
  • Graduate Admission Ambassador — Syracuse University
  • Smart India Hackathon — Co-developed digital homestay platform for rural tourism

🤝 Let's Connect

LinkedIn Email


⭐Thanks for visiting — explore how I blend data, strategy, and storytelling across my pinned projects.

Popular repositories Loading

  1. Vsagveka Vsagveka Public

  2. nyc-housing-market-analysis nyc-housing-market-analysis Public

    NYC Housing Market Analysis using Python & Geospatial Data

    Jupyter Notebook

  3. energy-consumption-prediction energy-consumption-prediction Public

    R

  4. fake-news-detection-nlp fake-news-detection-nlp Public

  5. marketplace-risk-analysis-erm marketplace-risk-analysis-erm Public