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πŸ‘‹ Hi, I'm Pranta Dasgupta

Data Analyst | Business Analytics | AI & Automation Solutions

πŸ“ India | 🎯 Targeting MSc Business Analytics / Digital Engineering β€” Germany

πŸ† Top 100 Innovation Award β€” PwC Internal Competition (Mail-Shield Project)


πŸš€ About Me

Data Analyst with 5+ years of experience at PwC and Tata AIG, specialising in solving real-world business problems through data, automation, and AI-driven workflows.

I focus on transforming raw data into actionable insights β€” building dashboards, risk models, and automated systems that directly improve business performance.


🧠 Skills & Tools

Category Tools
Data Analysis SQL, Python (Pandas, NumPy), Advanced Excel
Visualisation Power BI, DAX
AI & Automation Microsoft Copilot, Power Automate, Amazon Bedrock
Analytics Concepts Business Analytics, Risk Scoring, Feature Engineering
Other ServiceNow, CSOD (Learning Management Systems)

πŸ“Š Featured Projects

πŸ›‘οΈ Mail-Shield: AI-Powered Phishing Detection & Reporting System

πŸ† Top 100 β€” PwC Internal Innovation Competition

πŸ“Œ Automated phishing detection and reporting workflow built for enterprise scale

  • Designed end-to-end workflow using Power Automate + Microsoft Copilot + M365
  • Reduced phishing reporting time from ~5 minutes to near-instant execution
  • Saved approximately 42 business hours per team
  • Built dashboards for real-time threat monitoring and cybersecurity response
  • Python simulation of detection logic available in this repo

πŸ‘‰ View Project


πŸ“ˆ Training Performance Risk Analytics

πŸ“Œ Data-driven system to identify high-risk learners and enable early intervention

  • Built a risk scoring model using training attendance, scores, and engagement data
  • Performed data cleaning, feature engineering, and pattern analysis
  • Created Power BI dashboards for decision support
  • Enabled targeted intervention to improve training ROI

πŸ‘‰ View Project


πŸ“±πŸ’ͺ Bellabeat Engagement Risk Analysis

πŸ“Œ Identifying early behavioural signals of device disengagement using FitBit tracker data to inform Bellabeat's onboarding strategy

  • Identified early device disengagement signals using FitBit data.
  • Built engagement risk score in BigQuery, visualised in R,
  • delivered as 3-page interactive Power BI dashboard.

πŸ‘‰ View Project

πŸ“ˆ What I'm Currently Working On

  • Preparing for MSc admission in Germany (Business Analytics / Digital Engineering)
  • Deepening skills in Python, SQL, and data storytelling
  • Building portfolio projects that bridge analytics and real business impact

🎯 Career Goal

To work as a Data Analyst / Business Analytics professional in Germany, contributing to data-driven decision-making, process automation, and scalable analytics solutions in an international environment.


πŸ“¬ Connect With Me

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