🎓 MCA Student at Thapar Institute of Engineering & Technology

I am an MCA student with a strong interest in Data Analytics, Data Science, and Software Development. I enjoy transforming raw data into actionable insights, solving business problems through analytics, and continuously improving my technical skills through hands-on projects.

My current focus is building a strong portfolio in Data Analytics and Machine Learning while preparing for internships and full-time opportunities in Data Analytics, Data Science, and Software Development.

• Python
• SQL
• C++

• Pandas
• NumPy
• Matplotlib
• Seaborn
• Scikit-Learn

• Git
• GitHub
• Jupyter Notebook
• VS Code

Skills Applied:

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Data Visualization
• Correlation Analysis
• Insight Generation

Skills Applied:

• Business Analytics
• Feature Engineering
• KPI Analysis
• Time-Series Analysis
• Customer Analytics
• Product Performance Analysis
• Profitability Analysis
• Business Recommendations

Key Findings:

• Identified the highest-performing region and product category.
• Analyzed customer and product-level performance.
• Evaluated the impact of discounts on profitability.
• Generated business recommendations based on analytical findings.

Skills Applied:

• Customer Analytics
• Revenue Analysis
• RFM Analysis
• Customer Segmentation
• Customer Behavior Analysis
• Business Recommendations

Key Findings:

• Identified high-value customer segments using RFM Analysis.
• Analyzed customer purchasing behavior and spending patterns.
• Evaluated customer engagement through recency, frequency, and monetary metrics.
• Generated customer retention and loyalty recommendations.

Focus Areas:

• Marketing Analytics
• Campaign Performance Analysis
• Customer Response Analysis
• KPI Analysis
• Business Recommendations

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Data Visualization
• Feature Engineering
• KPI Analysis
• Time-Series Analysis
• Customer Analytics
• RFM Analysis
• Customer Segmentation
• Business Insight Generation
• Business Recommendations

• Analyzed over 550,000+ records across multiple real-world datasets.
• Built end-to-end analytics projects from data cleaning to business recommendations.
• Applied customer analytics, business analytics, KPI tracking, and customer segmentation techniques.
• Created professional visualizations and documented findings through GitHub projects.
• Developed a structured analytics workflow aligned with real-world business problems.

• Marketing Campaign Analytics
• HR Analytics
• Supply Chain Analytics
• E-commerce Analytics

• Complete 5+ high-quality analytics projects.
• Strengthen SQL and Data Structures & Algorithms.
• Build a separate Machine Learning project portfolio.
• Maintain consistent GitHub contributions.
• Secure an internship or full-time role in Data Analytics, Data Science, or Software Development.

📧 Email: harshitpoonia31@gmail.com

• Data Analytics
• Data Science
• Business Analytics
• Customer Analytics
• Python Development

"The best way to learn is by building."