🎓 Final-Year B.Tech Computer Science & Engineering Student
🏫 Mohan Babu University | 2023–2027
📍 India
🔎 Open to Data Analyst Internships & Full-Time Opportunities

I'm a final-year B.Tech Computer Science and Engineering student focused on building my career as a Data Analyst.

I enjoy working with data to clean, analyze, visualize, and transform it into meaningful insights that support data-driven decision-making.

I have been developing my practical skills through hands-on projects using Excel, SQL, Power BI, and Python with real-world datasets.

I'm currently strengthening my analytical, visualization, SQL, and business problem-solving skills while building my Data Analytics portfolio.

To start my career as a Data Analyst where I can use data to identify trends, generate meaningful insights, build dashboards, and support better business decisions.

• Data Cleaning
• Data Transformation
• Exploratory Data Analysis (EDA)
• Data Visualization
• KPI Analysis
• Trend Analysis
• Business Insights
• Dashboard Development

• Data Cleaning
• Formulas & Functions
• XLOOKUP
• VLOOKUP
• Conditional Formatting
• Data Validation
• Pivot Tables
• Pivot Charts
• Slicers
• Power Query
• Interactive Dashboards

• SELECT
• WHERE
• ORDER BY
• GROUP BY
• HAVING
• Aggregate Functions
• JOINs
• CASE Statements
• Subqueries
• CTEs
• Window Functions
• Date Functions
• String Functions
• Data Aggregation
• Business Analysis Queries

• Data Import
• Power Query
• Data Cleaning
• Data Transformation
• Data Modeling
• DAX Basics
• KPI Cards
• Interactive Dashboards
• Charts & Visualizations
• Slicers & Filters
• Business Insights

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Data Cleaning
• Exploratory Data Analysis
• Data Visualization

• PostgreSQL
• pgAdmin 4

• Git
• GitHub
• Google Colab
• Jupyter Notebook

Tools: Microsoft Excel

• Cleaned and analyzed e-commerce sales data.
• Created important business KPIs.
• Used Pivot Tables and Pivot Charts for analysis.
• Created interactive dashboards using slicers.
• Analyzed sales, profit, products, categories, and regions.
• Generated meaningful business insights from the dataset.

🔗 Project:
https://github.com/kapasrilakshmi075

Tools: Microsoft Excel

• Analyzed employee and attrition data.
• Created an interactive HR Analytics dashboard.
• Calculated important HR KPIs.
• Analyzed employee count, attrition, salary, and age.
• Used Pivot Tables, charts, and slicers.
• Identified patterns related to employee attrition.

• Total Employees
• Attrition Count
• Attrition Rate
• Average Salary
• Average Age

🔗 Project:
https://github.com/kapasrilakshmi075

Tools: Python, Pandas, Matplotlib

• Cleaned and explored sales data.
• Performed exploratory data analysis.
• Analyzed sales trends over time.
• Identified patterns and business trends.
• Created visualizations to understand sales performance.
• Generated insights from the dataset.

🔗 GitHub Repository:
https://github.com/kapasrilakshmi075/DataXLabs_Task6_Sales_Trend_Analysis

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn

• Performed exploratory data analysis on the Iris dataset.
• Cleaned and explored the dataset.
• Analyzed relationships between different features.
• Created data visualizations.
• Identified patterns and distributions in the dataset.

🔗 GitHub Repository:
https://github.com/kapasrilakshmi075/DataXLabs_Task5_Iris_EDA

Tools: Excel, Python

• Worked with Airbnb listing data.
• Performed data cleaning and preprocessing.
• Analyzed listing and pricing information.
• Explored patterns and relationships within the dataset.
• Generated insights from the data.

🔗 GitHub Profile:
https://github.com/kapasrilakshmi075

Tools: Python, Pandas

• Cleaned and analyzed Google Play Store data.
• Explored app ratings, reviews, categories, and installations.
• Identified patterns in app performance.
• Performed exploratory data analysis.
• Generated insights from app-related data.

🔗 GitHub Profile:
https://github.com/kapasrilakshmi075

Tools: Power BI, Power Query, DAX

• Analyzed Superstore sales data.
• Created KPI cards.
• Built interactive visualizations.
• Analyzed sales, profit, categories, and regions.
• Used filters and slicers for interactive analysis.
• Designed a business-focused dashboard.

🔗 GitHub Repository:
https://github.com/kapasrilakshmi075/PowerBI-Superstore-Sales-Dashboard

Tools: PostgreSQL, SQL

• Created a relational database for employee information.
• Created and populated database tables.
• Used SQL queries for data retrieval and analysis.
• Practiced filtering and aggregation.
• Used JOINs and subqueries.
• Solved practical business-related SQL questions.

🔗 GitHub Profile:
https://github.com/kapasrilakshmi075

Tools: PostgreSQL, SQL

• Designed a relational database for library management.
• Created tables for books, members, and transactions.
• Used SQL queries to analyze library data.
• Practiced JOINs, GROUP BY, aggregate functions, and subqueries.
• Solved practical SQL problems.

🔗 GitHub Profile:
https://github.com/kapasrilakshmi075

        Raw Data
            ↓
    Data Collection
            ↓
      Data Cleaning
            ↓
   Data Transformation
            ↓
 Exploratory Data Analysis
            ↓
   Data Visualization
            ↓
 Dashboard Development
            ↓
   Business Insights
            ↓
Recommendations / Decisions