Skip to content
View priyanka7411's full-sized avatar
2 followers · 1 following

Block or report priyanka7411

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

    DataSpark is a data analysis project using Python, SQL, and Power BI to analyze global electronics retail sales, focusing on customer behavior, sales performance, product profitability, and store p…

    Jupyter Notebook 4 1

  2. project-samarth project-samarth Public

    AI-powered Q&A system for Indian agricultural and climate data using Groq and data.gov.in APIs

    Python 1

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

    E-Commerce Sales Analysis: $15.8M revenue analyzed, identified 0% retention issue, provided ROI-backed recommendations. Python | Pandas | Data Visualization

    Jupyter Notebook 1

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

    ML-powered HR attrition prediction system with interactive dashboard. 82% accuracy, identifies high-risk employees, potential savings: ₹1.35 Cr annually

    Jupyter Notebook 1

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

    Customer segmentation using RFM + K-Means clustering. 5 segments identified, ₹1.36 Cr revenue opportunity, 3.59:1 ROI. Python | ML | Marketing Analytics

    Jupyter Notebook 1