Navaneetha

Data Analyst | Data Scientist | Python Developer

Hyderabad, India 0+ yrs exp 81 · Excellent

About

Data Analyst and Data Scientist with hands-on experience in Python development, machine learning and business intelligence through a 6-month internship and 3 deployed projects. Skilled in building predictive models, optimizing data pipelines and creating live dashboards that turn raw data into business decisions. Proven ability to automate manual processes and deliver measurable efficiency improvements.

Skills & Expertise (31)

SQL Intermediate

5.5/10

0.5

Years Exp

Pandas Intermediate

5.5/10

0.5

Years Exp

Python Intermediate

5.5/10

0.5

Years Exp

Jupyter Notebook Intermediate

5.5/10

0.5

Years Exp

Statistical Analysis Intermediate

5.0/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

Attention to Detail Intermediate

5.0/10

0.5

Years Exp

Excel Intermediate

5.0/10

0.5

Years Exp

process automation Intermediate

5.0/10

0.5

Years Exp

Cross-Functional Collaboration Intermediate

5.0/10

0.5

Years Exp

Technical Problem Solving Intermediate

5.0/10

0.5

Years Exp

Data Cleaning Intermediate

5.0/10

0.5

Years Exp

PCA Intermediate

4.5/10

0.5

Years Exp

Predictive Modeling Intermediate

4.5/10

0.5

Years Exp

KPI Reporting Intermediate

4.5/10

0.5

Years Exp

Dashboard Creation Intermediate

4.5/10

0.5

Years Exp

scikit-learn Intermediate

4.5/10

0.5

Years Exp

Regression Intermediate

4.5/10

0.5

Years Exp

Clustering Intermediate

4.5/10

0.5

Years Exp

Feature Engineering Intermediate

4.5/10

0.5

Years Exp

Postgresql Intermediate

4.0/10

0.5

Years Exp

Tableau Intermediate

4.0/10

0.5

Years Exp

VS Code Intermediate

4.0/10

0.5

Years Exp

MySql Intermediate

4.0/10

0.5

Years Exp

GitHub Intermediate

4.0/10

0.5

Years Exp

Git Intermediate

4.0/10

0.5

Years Exp

Streamlit Beginner

3.5/10

0.5

Years Exp

CSS Beginner

3.5/10

0.5

Years Exp

HTML Beginner

3.5/10

0.5

Years Exp

Java Beginner

3.5/10

0.5

Years Exp

EDA

Work Experience

Data Science Intern

ExcelR Solutions

May 2025 - Nov 2025

Automated 3 critical manual reporting workflows using Python, reducing recurring weekly reporting overhead by 40% for the team. Streamlined data processing pipelines by writing clean, modular Python scripts, accelerating data workflow speed by 25%. Extracted, cleaned and processed business datasets containing 3,000+ records using Python and SQL to track core performance metrics. Designed interactive dashboards and charts using Matplotlib, enabling non-technical stakeholders to interpret complex data trends.