Available for opportunities

Navaneetha Dheeravath

Data Analyst · Data Scientist · Python Developer

Passionate about transforming raw data into meaningful insights using Python, SQL, Machine Learning, and Data Visualization.

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ML Projects
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Months Interned
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Model Accuracy
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Records Analyzed
Navaneetha Dheeravath
● Open to Work
About Me
Turning data into
impact

I am an aspiring Data Analyst and Data Scientist passionate about transforming raw data into meaningful insights using modern data analysis and machine learning techniques.

I enjoy building intelligent systems, interactive dashboards, and data-driven applications using Python, SQL, Tableau, Machine Learning, and modern web technologies.

My goal is to solve real-world business problems using data, creativity, and technology while continuously learning and growing in the field of Artificial Intelligence and Analytics.

Location
Hyderabad, Telangana
Open to remote & in-office roles
Status
● Actively Looking
Available immediately
Tech Stack
What I work with
Python

Programming language widely used in data analysis, machine learning, automation, and backend development.

SQL

Used for querying, managing, and analyzing structured data from databases.

R

Programming language mainly used for statistics, analytics, and data visualization.

Java

Object-oriented programming language used for backend systems and software development.

Tableau

Powerful data visualization tool used for dashboards and business insights.

Excel

Spreadsheet tool used for reporting, analysis, dashboards, and business calculations.

Machine Learning

Building intelligent predictive systems using data-driven algorithms and models.

Power BI

Business analytics tool for creating interactive reports and data dashboards.

Projects
Things I've built
01 / Live Project
🌍
Global Development Indicators — Clustering Dashboard
Interactive dashboard analyzing 190+ countries using K-Means & Hierarchical Clustering to identify socio-economic patterns. Automated preprocessing pipeline validated using Elbow Method & Silhouette Score. Deployed as a live Streamlit app.
PythonStreamlit Scikit-LearnPandasSQL
02 / ML Project
☀️
Solar Panel Power Prediction
Regression model predicting solar energy output using 5000+ records. Compared 5 models — Gradient Boosting achieved best R² score of 0.91. Identified key factors like solar-noon distance, humidity & sky cover through deep EDA.
PythonScikit-Learn SeabornFeature Engineering
03 / SQL Project
📊
Sales Data Analysis using SQL
End-to-end sales analysis using MySQL & PostgreSQL. Applied JOINs, GROUP BY, and subqueries to extract business insights. Identified Electronics as top revenue category at 59% and generated actionable reports.
SQLMySQL PostgreSQLData Analysis
Journey
My Story
🎓 B.Tech — Computer Science Engineering
Anurag University, Hyderabad
2021 – 2025
  • CGPA: 7.5 · Computer Science & Engineering
  • Completed multiple academic projects in Python and SQL
💼 Data Science Intern
ExcelR Solutions · Hyderabad, India
May 2025 – Nov 2025
  • Worked on real-world datasets using Python, Pandas, and SQL — processed 3000+ records
  • Built and deployed machine learning models for prediction and clustering tasks
  • Performed data cleaning, preprocessing, and exploratory data analysis (EDA)
  • Created visualizations using Seaborn and Matplotlib for business stakeholders
  • Developed and deployed an interactive Streamlit dashboard — live at wdi-clustering.streamlit.app
🚀 Built Machine Learning Projects
WDI Clustering · Solar Power Prediction · Sales Data Analysis
2025
  • Deployed live Streamlit app for Global Development Indicators Clustering (190+ countries)
  • Achieved R² score of 0.91 on Solar Panel Power Prediction using Gradient Boosting
  • Analyzed sales data using MySQL & PostgreSQL extracting key business insights
🏅 Certifications Earned
ExcelR Solutions · WIPRO TalentNext
2025
  • Data Science Certification — ExcelR Solutions (Python, ML, SQL, EDA, Visualization)
  • TalentNext Java Full Stack — WIPRO
Contact
Let's work together

I'm actively seeking entry-level opportunities in Data Analytics, Data Science, or Python Development. I'm a fast learner, team player, and genuinely passionate about solving problems with data.

Whether you're a recruiter, a startup, or a data team — feel free to reach out. I'd love to connect and explore how I can contribute.