SR

S. Nagendra Reddy

Entry-level Data Analyst

Chennai, Tamil Nadu, India

@bc1_57_s_nagendra_reddy

0 followers

🎓 B.Tech in Computer Science (Artificial Intelligence) at Dr. M.G.R. Educational and Research Institute · Graduating 2026

About

Entry-level Data Analyst with internship experience in SQL, Python, Power BI, and Excel. Hands-on with data cleaning, exploratory analysis, dashboard development, and business reporting, with project experience turning raw data into actionable insights.

Experience

  • Data Analyst Intern
    Unified Mentor Pvt. Ltd.
    May 2026 – Aug 2026

    Completed a three-month Data Analyst internship focused on practical data analysis and reporting. Applied data analysis skills to support business-focused insights and analytical tasks.

Education

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
MySQL Microsoft Excel MySQL Workbench Jupyter Notebook Microsoft Power BI

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Telugu Speak
Fluent Fluent Comfortable using it for work.
English Speak

Projects

  • SQL Business Data Extraction
    MySQL

    Wrote SQL queries using JOINs, GROUP BY, and subqueries to extract business insights. Answered business questions around revenue, product performance, and customer trends.

  • Customer Data Analysis
    Python, Pandas, NumPy, Matplotlib

    Performed end-to-end data cleaning on a customer dataset, including handling nulls and duplicates. Conducted EDA to uncover patterns in customer demographics and purchase behaviour. Visualized key findings with Matplotlib to communicate insights clearly.

  • Coffee Shop Sales Analysis
    Excel, Power BI

    Cleaned and structured raw sales data in Excel to prepare it for analysis. Built Power BI dashboards to visualize daily, weekly, and monthly revenue trends. Identified peak sales hours and best-selling menu items to support business decisions.

  • Blinkit Sales Analysis
    Power BI, Excel

    Analyzed sales and customer trends across multiple product categories using Power BI. Designed interactive dashboards featuring KPIs, trend charts, and category-wise breakdowns. Derived insights on top-performing items and peak sales periods to support business decisions.

Courses & certifications

  • SQL Basics · Structured Query Language
  • Power BI for Business Intelligence
  • Python for Data Analysis

🏆 Achievements & awards

  • Team leader · 2026

🎯 Hobbies & interests

  • Music

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