Pranathi

Aspiring Data Analyst

Kolar, India 85 · Excellent

About

Motivated and detail-oriented Computer Science Engineering graduate with a strong foundation in Data Analytics, SQL, Python, Power BI, Excel, and Machine Learning. Skilled in collecting, cleaning, transforming, and analyzing structured datasets to uncover actionable business insights. Proficient in Exploratory Data Analysis (EDA), dashboard development, KPI reporting, and predictive analytics using real-world datasets. Passionate about leveraging data to solve business problems, optimize decision-making, and deliver data-driven solutions through analytical thinking and visualization.

Skills & Expertise (34)

SQL Intermediate

8.0/10

Years Exp

Jupyter Notebook Intermediate

8.0/10

Years Exp

Pandas Intermediate

8.0/10

Years Exp

Microsoft Excel Intermediate

8.0/10

Years Exp

Microsoft Power BI Intermediate

8.0/10

Years Exp

Data Visualization Intermediate

8.0/10

Years Exp

Python Intermediate

8.0/10

Years Exp

Exploratory data analysis Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Data Transformation Intermediate

7.5/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

VS Code Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

Classification Intermediate

7.0/10

Years Exp

Regression Intermediate

7.0/10

Years Exp

Supervised Learning Intermediate

7.0/10

Years Exp

Predictive Analytics Intermediate

6.5/10

Years Exp

Model Evaluation Intermediate

6.5/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Team Collaboration Continuous Learning Communication Skills Attention to Detail Technical Documentation Statistical Analysis Analytical Thinking Problem Solving JavaScript KPI Reporting Business Intelligence

Work Experience

Data Science and AI Intern

Besant Technologies

Present - Present

Collected, cleaned, and transformed structured datasets using Python to improve data quality and consistency. Wrote SQL queries to extract, filter, aggregate, and analyze business data from relational databases. Performed Exploratory Data Analysis (EDA) to identify patterns, trends, and actionable insights. Designed interactive Power BI dashboards with KPI cards, slicers, drill-through reports, and dynamic visualizations. Applied machine learning algorithms for predictive analytics and model evaluation. Collaborated on analytics projects involving data visualization, reporting, and business insights.