Skip to content
View prantadasguptade's full-sized avatar
🎯
Focusing
🎯
Focusing
  • PWC AC
  • Kolkata
  • 14:48 (UTC -12:00)

Block or report prantadasguptade

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 is supported. This note will only be visible to you.
Report abuse

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

Report abuse
prantadasguptade/README.md

👋 Hi, I'm Pranta Dasgupta

Data Analyst | Business Analytics | AI & Automation Solutions

📍 India | 🎯 Targeting MSc Business Analytics / Digital Engineering — Germany

🏆 Top 100 Innovation Award — PwC Internal Competition (Mail-Shield Project)

🚀 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 — 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)

📊 Featured Projects

🛡️ Mail-Shield: AI-Powered Phishing Detection & Reporting System

🏆 Top 100 — PwC Internal Innovation Competition

📌 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

👉 View Project

📈 Training Performance Risk Analytics

📌 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

👉 View Project

📱💪 Bellabeat Engagement Risk Analysis

📌 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.

👉 View Project

📈 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.

📬 Connect With Me

Pinned Loading

  1. mail-shield-phishing-detection mail-shield-phishing-detection Public

    Enterprise phishing detection system (Power Automate + Copilot) | Top 100 PwC Innovation | Python simulation for portfolio

    Python

  2. training-performance-risk-analytics training-performance-risk-analytics Public

    Power BI dashboard for training performance analysis, risk identification, and decision support

  3. bellabeat-engagement-risk-analysis bellabeat-engagement-risk-analysis Public

    Identifying early behavioural signals of device disengagement using FitBit data to inform Bellabeat's onboarding strategy | Google Data Analytics Capstone

    R