Data Analyst · Kerala, India

Turning data into
clear decisions.

Hi, I'm Salahuddin — an engineer turned data analyst with a background in Sales Operations. I work with Excel, MySQL, Power BI, and Python to clean, analyse, and present data in ways that are actually useful.

B.E. Graduate
→
Sales Operations · Oman
→
Data Analyst
● Open to Work Data Analyst MIS Analyst Business Analyst Remote & Global
See My Projects GitHub LinkedIn
📊
Latest Project
Retail Sales Analysis
Excel · MySQL · Power BI · 5,000 rows
🐍
Python Project
E-Commerce EDA + RFM
Pandas · Matplotlib · Seaborn
🎓
Certification
Google Data Analytics
Professional Certificate · Feb 2026
📍
Availability
Actively seeking roles
Kerala, India · Remote & Global
What I Work With

Technical Skills

Microsoft Excel
Advanced Excel Power Query Pivot Tables & Charts Dashboard Design Conditional Formatting Data Validation
MySQL & SQL
MySQL JOINs & Subqueries Window Functions CTEs Aggregation & Grouping Data Modeling
Python
Pandas NumPy Matplotlib Seaborn Exploratory Data Analysis RFM Analysis Feature Engineering Jupyter Notebook
Visualisation & Reporting
Power BI DAX Basics Interactive Dashboards Data Storytelling KPI Reporting
What I've Built

Portfolio Projects

📊 Excel 🗄️ MySQL 📈 Power BI
Retail Sales Analysis — End-to-End Multi-Tool Project
A complete retail analytics workflow across three tools — the same dataset taken from raw data through SQL querying to an interactive Power BI dashboard. Structured to reflect how analysts work in real business environments.
5,000
Transactions
200
Customers
50
Products
5
Regions
4
Linked Tables
Stage 1 — Excel
  • →Merged 4 tables into a master sheet
  • →Engineered Revenue, Profit, Month, Year
  • →KPI cards: Revenue, Profit, Transactions, Units
  • →Pivot analysis by Region, Category & Month
  • →Interactive dashboard with dynamic slicers
Stage 2 — MySQL
  • →Normalised 4-table relational schema
  • →Multi-table JOINs for analytical dataset
  • →Revenue & profit with discount logic
  • →Regional & category aggregation queries
  • →SQL output as Power BI data source
Stage 3 — Power BI
  • →Connected SQL output as live source
  • →Top 10 products by revenue
  • →Monthly revenue trend with seasonality
  • →Revenue by Region & Category
  • →Slicers: Region, Category, Month
Key Insights
East region leads revenue (~₹5.6M) Electronics is the top-selling category Sales peak mid-year — seasonal trend confirmed Small product group drives majority of revenue
Dashboard Previews
Excel Dashboard
Excel Dashboard
Power BI Dashboard
Power BI Dashboard
ExcelPower QueryPivot TablesMySQLSQL JOINsPower BIDAX
View on GitHub →
🐍 Python
E-Commerce Sales Analysis — EDA & RFM Customer Segmentation
End-to-end Python analysis on a real-world e-commerce dataset. Covers data cleaning, exploratory analysis, KPI computation, and RFM customer segmentation — identifying best customers, at-risk customers, and actionable retention strategies.
Data Cleaning & EDA
  • →Removed nulls & filtered returns
  • →Engineered Revenue; extracted Month
  • →KPIs: Revenue, Orders, Customers, AOV
  • →Monthly trends, country & product charts
RFM Segmentation
  • →Recency, Frequency & Monetary per customer
  • →Segments: Best, Loyal, At Risk, Average
  • →Visualised with Seaborn
  • →Each segment mapped to recommendations
Key Insights
Strong Q4 revenue spike UK dominates by revenue Small product set drives most sales Significant at-risk customer segment identified Retention & market expansion opportunities flagged
PythonPandasNumPyMatplotlibSeabornRFMJupyter
View on GitHub →
Where I've Worked

Work Experience

📍 Sultanate of Oman
Zoya Business House
Sales Operations
Sep 2023 – May 2025
Muscat, Oman
  • Built and maintained weekly Excel reports tracking revenue, target attainment, and pipeline across regions and product lines
  • Created performance dashboards with KPI summaries, trend lines, and variance analysis for management use
  • Monitored conversion rates, order volumes, and monthly revenue trends on a recurring basis
  • Identified data discrepancies in order records and implemented validation processes to improve reporting accuracy
  • Coordinated with cross-functional teams to reconcile sales data across CRM and reporting systems
  • Produced monthly reports with findings and recommendations for senior management
Learning & Credentials

Certifications & Education

🎓
Google Data Analytics Professional Certificate
Google / Coursera · 8-course program
Feb 2026
🏛️
Bachelor of Engineering (B.E.)
Undergraduate Engineering Degree
Completed
💻
HackerRank — SQL & Problem Solving
hackerrank.com/profile/Salahuddin_K_M
Active
Opportunities

What I'm Looking For

🎯
Role
Any data role — Data Analyst, MIS Analyst, Business Analyst, or similar.
🌍
Location
Open anywhere — remote, hybrid, or on-site globally.
What I Bring to the Organisation
📊
Ready to work with data from day one Hands-on with Excel, SQL, Power BI, and Python through real end-to-end projects — not just coursework.
🔍
Business context, not just technical skills Nearly two years in Sales Operations means I understand how reports are actually used — and what makes analysis genuinely useful to a team.
📋
Clean, documented work Projects are structured, commented, and on GitHub — built the way a working analyst would present deliverables.
📈
Fast learner at an early stage I know what I know and what I'm still learning. Low ramp-up time, high motivation to grow with the right team.
Let's Connect

Open to opportunities.

If you're a recruiter or hiring manager looking for a data analyst, feel free to reach out. I respond to every message.

💼
LinkedIn
linkedin.com/in/salahuddinkm
📂
GitHub
github.com/ErSKM
🌐
Portfolio
erskm.github.io
⚡
HackerRank
Salahuddin_K_M
✉️
Email
salahuddinkm.skm@gmail.com