Data Analyst

MUHAMED BADHUSHA S

+91-628******* Palakkad,Kerala,India

***************.*@*****.*** www.linkedin.com/in/muhamedbadhusha https://github.com/Badhusha-S PROFFESSIONAL SUMMARY

Motivated and analytical EEE graduate with hands-on experience in data analytics projects and strong technical aptitude. Proficient in SQL, Excel, and data visualization with a solid foundation in problem-solving and statistical analysis. Currently transitioning from a technical engineering role into data analytics, bringing a unique blend of engineering logic and data-driven thinking. Adept at learning new tools quickly and passionate about turning raw data into actionable insights.

EDUCATION

Btech in Electrical and Electronics Engineering 2020-2024 APJ Abdul Kalam Technological University — CGPA: 8.33 Higher Secondary in Biological Science, Kannadi Hss Palakkad — Score: 89 TECHNICAL SKILLS

Tools and Languages : SQL, Excel, Power bi, Python,Pandas,Matplotlib Data Analysis : Data cleaning, EDA, statistical metrics Other Tools : AutoCAD, MATLAB/Simulink, PLC (basic), MS Office Soft Skills : Adaptability, Quick Learner, Team Collaboration, Verbal Communication EXPERIENCE

SUB ENGINEER(CONTRACT) OCT 2024 - APRIL 2025

Kerala State Electricity Board Palakkad,Kerala

• Supported electrical system planning and implementation across multiple projects.

• Assisted with technical compliance and reporting, improving infrastructure efficiency.

• Gained real-world experience in structured problem-solving and documentation — skills transferable to data analytics.

PROJECTS

Life Expectancy Analysis : Explored life expectancy data across countries using SQL. Analyzed correlations with factors like GDP, healthcare, education, and immunization. Delivered key insights through SQL queries and visualizations using Power bi, Chatgpt and Excel. Focused on data preprocessing, missing value handling, and regional comparison. (See it here)

Stock Performance Analysis : Analyzed monthly and daily stock performance using PostgreSQL. Identified top gainers/losers, monthly volatility, and net revenue trends. Built SQL queries to answer business questions and derive insights for investors. Demonstrated skills in SQL joins, CTEs, aggregations, and window functions.(See it here) Superstore Sales Dashboard : Built an interactive Power BI dashboard using sales data from a global retail company. Defined 8 key business KPIs including average delivery time, repeat customer rate, customer lifetime value

(CLTV), and top-performing products/cities/categories. Cleaned raw data using Excel, loaded into PostgreSQL, and used DBeaver for SQL querying and data transformation. (See it here) CERTIFICATES

Data Analyst Essentials : Cisco Networking Academy - May 2025 Project Management Foundations : Linkedin Learning - July 2024

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