Certificate
✦ Available for Data Analyst Roles

MY
PORTFOLIO
Open to Work

Data Analyst Economics Graduate Student Power BI Developer Business Intelligence Analyst

Data-driven MSc Economics candidate with hands-on experience in SQL, Python, Excel, and Power BI for business analytics, statistical modeling, and dashboard development. Skilled at transforming complex datasets into actionable insights through exploratory analysis, KPI reporting, forecasting, and visualization.

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SQL Python Power BI Excel Data Analytics Business Intelligence Statistical Analysis Dashboard Design KPI Reporting Forecasting
✦ About Me

Turning Data Into
Decisions

I am an MSc Economics student at the University of Calcutta with a strong interest in data analytics, business intelligence, and evidence-based decision making. My academic background in economics provides a solid foundation in statistical analysis, forecasting, and quantitative reasoning, while my technical skills in Python, SQL, Excel, and Power BI allow me to turn raw data into meaningful business insights.

Through projects in banking analytics and logistics operations, I have developed experience in data cleaning, exploratory analysis, KPI development, risk assessment, and dashboard design. My approach combines analytical thinking, attention to detail, and effective communication.

📊
Analytics Focus
End-to-end data analysis from raw datasets to actionable business insights
🎓
Academic Rigor
MSc Economics grounding in quantitative methods and statistical theory
🏦
Industry Projects
Banking analytics, logistics dashboards, and GenAI-powered analysis
📍
Based In Kolkata
West Bengal, India · Open to remote and relocation opportunities
✦ Mission

"To transform data into actionable insights that help organizations make smarter, faster, and more informed decisions."

✦ Vision

"To become a leading data analytics professional who bridges business strategy and data-driven decision making through impactful analytics solutions."

✦ Technical Arsenal

Skills & Expertise

💻 Programming & Databases
🗄️ SQL 🐍 Python 📦 Pandas 🔢 NumPy 📊 Matplotlib 🔬 Seaborn 🤖 Scikit-learn
📈 Data Analytics
🔍 Data Analysis 📐 Statistical Analysis 🧭 Exploratory Data Analysis 📉 Forecasting 🧹 Data Cleaning ⚖️ Risk Assessment 🎯 Segmentation
🖥️ Business Intelligence
Power BI 🧮 DAX 📊 Dashboard Design 🎯 KPI Development 📡 Data Visualization 📋 Reporting
🛠️ Productivity Tools
📗 Microsoft Excel 📊 Pivot Tables 📈 Excel Charts 📽️ PowerPoint 📝 MS Word 🔵 Cognos 📓 Jupyter
💼 Business & Research
🏛️ Economics Research 📦 Business Analytics 🔢 Quantitative Analysis 💰 Credit Risk Analysis 🚚 Logistics Analytics 🤖 GenAI Tools
🌟 Professional Skills
🧠 Analytical Thinking 🔧 Problem Solving 🗣️ Communication 🤝 Collaboration 📚 Continuous Learning 🎨 Data Storytelling
✦ Work History

Professional
Experience

Data Analytics Micro Intern
Virtual Internship
Quantium · Forage
📅 June 2026 📍 Remote 📊 Retail Analytics & Commercial Insights
Key Responsibilities
  • Analyzed 260,000+ retail transaction records and customer purchase data using Python to uncover purchasing patterns, revenue drivers, and customer behavior trends
  • Performed data cleaning, transformation, feature engineering, and exploratory data analysis (EDA) to improve data quality and generate actionable business insights
  • Conducted customer segmentation analysis to identify high-value customer groups and support targeted marketing and merchandising strategies
  • Applied correlation analysis, control-store matching, and uplift testing to evaluate store layout trial performance and measure commercial impact
Key Achievements
  • Delivered data-driven recommendations that informed category optimization, customer growth initiatives, and commercial decision-making
  • Developed executive-level analytical reports and visualizations, translating complex findings into clear business insights for stakeholders
  • Identified key sales and customer trends that supported evidence-based merchandising and retail performance improvement strategies
Python Data Analysis EDA Customer Segmentation Uplift Testing
Data Analytics Micro Intern
Virtual Internship
Tata Group · Forage
📅 August 2025 📍 Remote 🏢 GenAI Powered Data Analytics
Key Responsibilities
  • Leveraged GenAI tools to analyze large datasets and extract meaningful patterns
  • Resolved data quality issues and inconsistencies across lending portfolio data
  • Identified delinquency risk indicators from customer data profiles
  • Developed and presented a no-code predictive model framework to stakeholders
Key Achievements
  • Designed an AI-driven collections strategy focused on scalability and regulatory compliance
  • Delivered predictive risk evaluation recommendations using advanced analytical techniques
GenAI Tools Data Analysis Risk Profiling Predictive Modeling
✦ Academic Background

Education &
Qualifications

2021 – 2024
B.Sc. Economics (Honours)
Shri Shikshayatan College, University of Calcutta
  • Economics Honours Curriculum
  • Quantitative and Analytical Foundations
  • Academic CGPA: 7.599
Completed 2021
ISC — Class XII
St. Stephen's School, Dum Dum
  • Scored 96.75%
  • Strong quantitative foundation
  • Academic excellence distinction
Completed 2019
ICSE — Class X
St. Stephen's School, Dum Dum
  • Scored 93.40%
  • Strong academic performance
  • Foundational analytical skills
✦ Portfolio Work

Featured Projects

01
Data Analytics & Business Intelligence
Bank Loan Analytics Project

End-to-end banking analytics project involving Excel, SQL, Python, and Power BI. Focused on lending portfolio analysis, credit risk assessment, KPI reporting, and business intelligence dashboard development.

  • Analyzed 38,600+ loan applications across the portfolio
  • Identified 86.2% performing loans vs 13.8% charged-off loans
  • Performed borrower risk segmentation and default pattern analysis
  • Built interactive Power BI dashboards for lending performance monitoring
ExcelSQL PythonPower BI
02
Business Intelligence Dashboard
SwiftRoute Logistics Analytics

Developed a logistics performance monitoring dashboard providing comprehensive operational visibility into orders, hubs, drivers, and fleet performance metrics across the network.

  • Tracked 1,100+ orders across complete logistics operations
  • Monitored 6 hubs, 55 drivers, and 45 vehicles in real-time
  • Identified hub bottlenecks and root causes of delivery delays
  • Improved fleet utilization and predictive maintenance insights
Power BIDAXExcel
03
Data Analytics & Business Intelligence
Blinkit Sales Performance Analysis

Retail sales analytics project involving Python, Pandas, NumPy, Matplotlib, and Seaborn. Focused on exploratory data analysis, sales performance evaluation, outlet segmentation, product category analysis, and business intelligence reporting.

  • Analyzed 8,523 retail records representing $1.20M+ in total sales
  • Identified Low Fat products contributing 64.6% of total revenue
  • Evaluated sales performance across outlet sizes, establishment years, and location tiers
  • Revealed Tier 3 locations and Medium-sized outlets (42.3%) as key revenue drivers
PythonPandas NumPyMatplotlib Seaborn
🔄 Ongoing
04
Data Analytics & Business Intelligence
Luxury Retail Commercial Analytics

Developing an end-to-end luxury retail analytics solution using SQL, Python, and Power BI to analyze commercial performance, product profitability, customer purchasing behavior, promotional effectiveness, inventory management, and executive-level business KPIs across global luxury beauty markets.

  • Analyzed 250,000+ retail transactions generating $143.6M+ revenue and $81.5M+ profit across global luxury retail markets
  • Conducted advanced SQL analysis on product profitability, store performance, promotion ROI, budget variance, and regional revenue trends
  • Identified top-performing markets including Japan, UAE, India, UK, and USA, evaluating store-level profitability and budget achievement metrics
  • Discovered VIP Events and Bundle Offers as highest ROI initiatives, with leading campaigns generating nearly 4× return on marketing investment
  • Developing an interactive Power BI Executive Dashboard with KPI monitoring, budget vs actual analysis, revenue forecasting, and inventory alerts
SQLPython Power BIDAX ExcelEDA Business Intelligence
✦ Credentials

Certifications &
Credentials

Click any certificate to view it in full. 11 certifications earned across data analytics, Python, SQL, Power BI, and generative AI.

Excel Basics for Data Analysis
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IBM · Coursera
Excel Basics for Data Analysis
Nov 2025
Data Visualization with Excel and Cognos
View ↗
IBM · Coursera
Data Visualization & Dashboards — Excel & Cognos
Nov 2025
Databases and SQL for Data Science with Python
View ↗
IBM · Coursera
Databases & SQL for Data Science with Python
Nov 2025
Data Analysis with Python
View ↗
IBM · Coursera
Data Analysis with Python
Nov 2025
Data Visualization with Python
View ↗
IBM · Coursera
Data Visualization with Python
Nov 2025
Python for Data Science AI and Development
View ↗
IBM · Coursera
Python for Data Science, AI & Development
Nov 2025
Generative AI Enhance your Data Analytics Career
View ↗
IBM · Coursera
Generative AI: Enhance your Data Analytics Career
Nov 2025
Power BI 7-Hours Free Course
View ↗
Skill Course · Learn More Pro
Power BI 7-Hours Free Course
Aug 2025 · Satish Dhawale
GenAI Powered Data Analysis Tata Forage
View ↗
TATA Group · Forage
GenAI Powered Data Analytics Job Simulation
Aug 2025
Quantium Data Analytics Job Simulation
View ↗
Quantium · Forage
Data Analytics Job Simulation
Jun 2026
✦ Get In Touch

Let's Connect and Build Something Meaningful Together

I'm actively seeking opportunities in Data Analytics and Business Intelligence. Whether you have a role, a project, or just want to talk data — I'd love to hear from you.

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