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priyanka7411/README.md

Hi, I'm Priyanka 👋

I'm a data analyst who loves turning messy data into clear business insights. Fresh out of my BCA with a data science certification from GUVI, and I've spent the last month building real-world projects that solve actual business problems.

What I've Been Working On

I've built three end-to-end data analysis projects that tackle different business challenges:

Customer Segmentation & Marketing Analytics
Used RFM analysis and K-Means clustering to segment 5,000 customers into actionable groups. Created targeted marketing strategies that could generate ₹1.36 Cr in revenue with a 3.59:1 ROI.

  • Python, Scikit-learn, K-Means, CLV Analysis, Marketing Strategy

HR Attrition Prediction System
Built a machine learning model (82% accuracy) that predicts which employees are likely to leave. The system identifies high-risk employees 6 months early and could save ₹1.35 Cr annually in turnover costs.

  • Python, Random Forest, SQL, Streamlit Dashboard, Predictive Analytics

E-Commerce Sales Analysis
Analyzed $15.8M in revenue and discovered a 0% customer retention rate. Recommended a loyalty program strategy with $1.5M potential revenue impact.

  • Python, Pandas, Data Visualization, Business Metrics, Statistical Analysis

My Approach

I believe good data analysis isn't just about finding patterns—it's about:

  • Solving real business problems (not just running models)
  • Quantifying impact in rupees and dollars
  • Making recommendations that people can actually implement
  • Explaining insights clearly to non-technical stakeholders

What I Work With

Languages & Tools: Python, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Jupyter, Git, Streamlit

What I'm Good At: Exploratory data analysis, machine learning (classification & clustering), data visualization, SQL queries, business intelligence, statistical analysis, ROI calculations

Domains I've Explored: E-commerce, HR Analytics, Marketing Analytics, Customer Behavior

Currently

Looking for opportunities as a Data Analyst, Business Analyst, or BI Analyst where I can help teams make better decisions with data. Open to remote and on-site roles.

Let's Connect

Still learning, always curious, and excited about where data can take us next.

Pinned Loading

  1. DataSpark-Electronics-Retail-Analytics DataSpark-Electronics-Retail-Analytics Public

    International electronics retail analysis across 15+ countries using 50K+ sales records | Power BI, SQL, Python, DAX, Interactive Dashboards

    Jupyter Notebook 4 1

  2. project-samarth project-samarth Public

    AI chatbot providing instant answers to Indian farmers using government agricultural data and Groq LLM | Python, NLP, API Integration, Social Impact

    Python 1

  3. ecommerce-sales-analysis ecommerce-sales-analysis Public

    Analysis of $15.8M e-commerce revenue uncovering 0% retention crisis with $1.5M recovery strategy | Python, Pandas, Statistical Analysis, Business Recommendations

    Jupyter Notebook 1

  4. hr-attrition-analysis hr-attrition-analysis Public

    ML system predicting employee turnover 6 months early with 82% accuracy, saving ₹1.35 Cr annually in retention costs | Python, Random Forest, Streamlit Dashboard

    Jupyter Notebook 1

  5. customer-segmentation-analysis customer-segmentation-analysis Public

    Customer segmentation driving ₹1.36 Cr revenue with 3.59:1 ROI using RFM analysis and K-Means clustering on 5,000 customers | Python, Scikit-learn, Marketing Analytics

    Jupyter Notebook 1

  6. Audible_Book_Recommendation Audible_Book_Recommendation Public

    Audiobook recommendation engine using NLP and K-Means clustering with interactive Streamlit interface | Python, Scikit-learn, Content-Based Filtering

    Jupyter Notebook 1