Sudeesh S
Data Analyst | Bangalore
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Professional Summary
Data-Driven Insights
Transforming raw data into actionable business intelligence
Aspiring Data Analyst with hands-on project experience across supply chain, revenue, and inventory analytics. Proficient in SQL, Python (Pandas, Matplotlib), Power BI, and Excel. Builds structured analytical pipelines, data cleaning, exploratory analysis, KPI modeling, and dashboard reporting to surface insights that drive business decisions.
Core Technical Competencies
Data Analysis & Reporting
SQL (Joins, Aggregations, Subqueries, CTEs), Power BI (Dashboards, Power Query, Data Modeling, DAX), Excel (Pivot Tables, Lookup Functions)
Programming
Python (Pandas, NumPy, Matplotlib)
Data Analysis & Statistics
Exploratory Data Analysis (EDA), Descriptive Statistics, Correlation Analysis
Technical Toolkit
Database Management
MySQL, SQLite
Business Analysis
Requirement Gathering & Clarification, Business Process Understanding, Insight Communication & Documentation
Tools & Environments
GitHub, Jupyter Notebook, VS Code, Google Sheets
Supply Chain Data Analysis
Excel · Python · Matplotlib
Analyzed end-to-end supply chain data to uncover operational inefficiencies and performance gaps. Used Excel for data cleaning and structuring raw supply chain records. Applied Python Pandas for data wrangling and aggregation; used Matplotlib to visualize trends and KPIs.
  • Data cleaning and structuring in Excel
  • Python Pandas for aggregation
  • Matplotlib visualization of trends
  • Supplier performance insights
Revenue & Profit Gap Analysis
MySQL · Python · Power BI
01
Data Cleaning
Performed data cleaning and transformation on sales and cost datasets using SQL and Python
02
Exploratory Analysis
Conducted EDA to analyze revenue, cost, profit, and margin trends
03
Profit Analysis
Identified loss-making regions, low-margin categories, and inefficient products
04
Dashboard Design
Designed Power BI dashboards with KPIs, DAX measures, and interactive filters
Inventory Turnover & Stock Efficiency
MySQL · Python · Power BI
Analysis Approach
Analyzed inventory data to track opening stock, closing stock, and units sold at product level. Used SQL queries and aggregations to calculate inventory metrics and stock movement patterns.
Key Deliverables
Applied Python Pandas to compute average inventory and inventory turnover ratio. Built Power BI dashboards to visualize slow-moving stock, blocked inventory, and category performance.
Project Impact Metrics
3
Major Projects
Supply Chain, Revenue, and Inventory Analytics
5+
Technologies
SQL, Python, Power BI, Excel, Matplotlib
100%
End-to-End
Complete analytical pipelines from data cleaning to dashboards
Education & Certifications
Bachelor of Science in Computer Science
Government Arts College, Ooty — Bharathiar University
2022 – 2025
Data Analytics Professional Training
SQL, Excel, Power BI, Python, Tableau
Statistics for Data Analytics
Descriptive Statistics, Correlation
Let's Connect
Ready to Collaborate
Passionate about turning data into actionable insights. Let's discuss how I can contribute to your team's success.
Contact Information
📞 +91 7904951889
📍 Bangalore
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