akshaypattabi

Data Analyst

Hyderabad, India 0+ yrs exp 81 · Excellent

About

Data Analyst with hands-on experience in SQL, Python, Power BI, and Tableau, skilled in transforming raw data into actionable business insights through data visualization and business intelligence (BI) reporting. Experienced in building interactive dashboards, automating MIS reports, and applying statistical analysis, EDA, and predictive modeling to support data-driven decision-making. AWS Certified Cloud Practitioner with a strong foundation in data cleaning, data wrangling, KPI tracking, and ad-hoc business reporting. Seeking a Data Analyst role to drive measurable business impact through data.

Skills & Expertise (61)

Python Intermediate

6.2/10

0.5

Years Exp

Data Cleaning Intermediate

6.0/10

0.5

Years Exp

Statistical Analysis Intermediate

6.0/10

0.5

Years Exp

Data Wrangling Intermediate

6.0/10

0.5

Years Exp

Machine Learning Intermediate

6.0/10

0.5

Years Exp

Excel Intermediate

6.0/10

0.5

Years Exp

Data Visualization Intermediate

6.0/10

0.5

Years Exp

Power BI Intermediate

6.0/10

0.5

Years Exp

SQL Intermediate

5.8/10

0.5

Years Exp

Tableau Beginner

4.6/10

0.5

Years Exp

AWS Beginner

4.0/10

0.5

Years Exp

Documentation Data Storytelling EDA Predictive Modeling Regression Classification Feature Engineering A/B testing Trend Analysis Data-driven decision making SQL joins Window Functions Query Optimization Cloud Computing Git Google Colab VS Code Cross-Functional Collaboration Requirement gathering Stakeholder Reporting Problem Solving Attention to Detail Time management Matplotlib Pandas NumPy Random Forest Decision Trees Logistic Regression ETL NLP Flask Docker Pytest GitHub Actions GridSearchCV scikit-learn Report Automation Seaborn Jupyter Notebook MySql Stored Procedures Postgresql Advanced Excel Pivot Tables VLOOKUP Business Intelligence KPI Tracking MIS Reporting Dashboard Development

Work Experience

Data Science Intern

The Skill Union

Jan 2026 - Jun 2026

Cleaned and analyzed structured and unstructured datasets using Python, Pandas, and NumPy, improving data quality and reducing downstream processing errors. Built Power BI and Excel dashboards to track key business metrics, enabling stakeholders to identify trends and make faster, data-driven decisions. Performed exploratory data analysis (EDA) using statistical methods and visualization techniques to surface patterns and business insights from raw data. Developed and evaluated machine learning models (Random Forest, Decision Trees, Logistic Regression) for classification tasks, measuring performance via Accuracy, Precision, Recall, and F1-Score. Built ETL data pipelines to extract, transform, and load data from multiple sources, ensuring consistent data availability for analysis and reporting. Applied prompt engineering and NLP techniques on an internal chatbot project to improve response accuracy and relevance for user queries. Collaborated cross-functionally across data collection, analysis, testing, and documentation stages to ensure timely, accurate project delivery.