KOLKATA, IN  ·  OPEN TO OFFERS

Data Analyst turning
transactional data into commercial decisions.

I'm Md Yusuf, a Kolkata-based data analyst focused on revenue, margin and category analytics. I bring 7+ years of P&L ownership from Events and Manufacturing into a business-first analytical lens — every model starts with the decision it needs to change.

SQL Server Power BI DAX Power Query Python Pandas Excel
3M+
Rows Analysed
12%
Cost Reduction
40%
Review Time Saved
7
Projects Built

Experience

7+ years across analytics, event operations and manufacturing — P&L ownership, vendor negotiation and revenue accountability.

See work history →

Projects

End-to-end analytics builds spanning SQL, Power BI and Python — from star-schema retail models to fraud detection dashboards.

See case studies →

Skills

A commercial analytics toolkit: SQL data modelling, Power BI/DAX reporting, Python EDA pipelines and financial spreadsheet work.

See toolkit →
Currently

Active Work

RevenuePulse-SaaS-Revenue-Intelligence— DAX audit + 5-page Power BI build
GitHub →
MerchIQ-Retail-Merchandising-Performance— Flagship project, Star schema + Power BI
GitHub →
Work History

Experience

Jan 2026 — Present
Freelance Data Analyst
Self-Employed
  • Built a production-quality merchandising intelligence system on ~50K rows — 6 SQL queries, star schema, 5-tab Power BI merchant dashboard.
  • Designed a 5-page Power BI fraud detection report with drill-through across 10,000+ transactions, cutting review effort by ~40%.
  • Delivered an end-to-end Python → SQL → Power BI e-commerce pipeline on 400K+ rows, identifying 5–12% margin improvement potential.
Power BIPythonSQLDAXStar Schema
May 2020 — Jun 2025
Event Operations Manager
Firefox Events
  • Owned P&L across 50+ large-scale events with full revenue forecasting accountability.
  • Built Excel and Power BI financial tracking models that reduced vendor costs 12% year-over-year.
  • Ran operational dashboards tracking lead-to-deal conversion, event ROI and client retention.
Power BIExcelP&LKPI Design
Jul 2016 — Sep 2018
Production Supervisor
Shrey Components
  • Built Excel dashboards tracking output trends, defect ratios and machine downtime.
  • Standardised reporting improved on-time completion by 8% within one quarter.
  • Applied Lean/Kaizen principles to prioritise improvements by cost impact.
ExcelOps AnalyticsLean/Kaizen
Analytics Toolkit

Skills

🗄️ Data Querying
SQL MS SQL Server CTEs Window Functions Star Schema Data Modelling
📊 Visualization & BI
Power BI DAX Measures Power Query (M) KPI Dashboards Drill-Through
🐍 Python Analytics
Python Pandas Matplotlib Seaborn EDA Pipelines
🧮 Spreadsheets
Excel Financial Modelling Pivot Tables VLOOKUP INDEX-MATCH
🗃️ Commercial
P&L Management Revenue Analytics Margin Optimisation Category Analytics Vendor Scoring
⚙️ Industry Context
BFSI Retail / FMCG Manufacturing Automotive E-Commerce
Real Projects

Case Studies

BFSI · Power BI

RiskSentry-Financial-Risk-Monitoring-Fraud-Intelligence-Dashboard

A BFSI-focused monitoring system flagging anomalous transaction patterns for risk and compliance teams — built to reduce fraud losses and false-positive investigation time.

284K+
Transactions
0.17%
Fraud Rate
40%
Review Time Saved
55%
Concentration Risk
SQL · Customer Analytics

ValueTier-RFM-based-customer-segmentation-for-targeted-marketing

SQL-driven customer segmentation framework that identifies high-value customer groups for targeted marketing and improved retention.

150k
Transactions
5k
Customers
2+
Years Of Data
5
Customer Segments
Python · Market Analysis

OccuRate-Revenue-Intelligence-for-India-s-Hospitality-Industry

Optimizing Occupancy Rates & Pricing Strategy Through Market-Level Exploratory Analysis: Operational insights on demand patterns and pricing sensitivity to inform revenue management decisions in the hospitality sector

982
Hotels
10
Cities
4
Room Categories
43%
Luxury Hotels
Excel · E-Commerce

LedgerView-Automated-Sales-MIS-Inventory-Performance-Dashboard

Automated management reporting solution that streamlines sales reporting, inventory monitoring and operational KPI tracking using Excel.

100k
Transactions
MIS
Reporting
4
Markets
4
Product Categories
About

The Person Behind the Data

Md Yusuf

Md Yusuf

Data Analyst — Kolkata, India

A business-first analyst with a B.Tech in Automotive Engineering and a Smart Data Analytics certification (Distinction) from Aptech, backed by IBM and Cisco credentials. Prior to analytics, I spent 7+ years in operational leadership across events and manufacturing — owning budgets, vendor costs and revenue outcomes. That commercial grounding now shapes how I approach every dataset: as a decision to be made, not just a metric to report.

Academic Record

Education

Advanced Program in Smart Data Analytics with Power BI
Aptech Learning — Kolkata, West Bengal
2025 – 2026 · Distinction
  • Data Analysis with Python (Pandas, NumPy, Matplotlib)
  • SQL & Database Management (MS SQL Server)
  • Power BI — DAX, Power Query, Dashboard Design
  • Statistical Methods & Predictive Analytics
  • Business Intelligence & KPI Reporting
B.Tech, Automotive Engineering Technology
WBUT — Kolkata, West Bengal
2012 – 2016 · DGPA 8.03
  • Mechanical Systems, CAD/CAM Design
  • Manufacturing Processes & Quality Control
  • Industrial Engineering & Operations Research
  • Business Analytics & Decision Sciences
Verified Credentials

Certifications

Data Analytics Essentials

Data Analytics , Quantitative Analysis
CISCO Verified

Enterprise Data Science in Practice

Applied data science , Analytical Frameworks
IBM Verified

Machine Learning for Data Science

CRISP-DM , Analytical Workflow
IBM Verified

SAS SQL Essentials

SQL , Database Querying
SAS Verified

Data Analysis Using Python

Python , Exploratory Data Analysis (EDA)
IBM Verified

Creating Compelling Reports

Business Reporting , Dashboarding
Cisco Verified
Get in Touch

Contact

Let's Connect

Whether you're hiring, collaborating, or simply want to discuss analytics, I'd be glad to connect. I'm currently open to Data Analyst opportunities across Retail, BFSI, SaaS and Manufacturing.

Email Me
Location
Kolkata, West Bengal, India
Status
Open to Opportunities