TEJA CHENNU

Data Analyst

Hyderabad, India 0+ yrs exp 86 · Excellent

About

Detail-oriented Data Analyst with hands-on experience in SQL, Python, Power BI, and statistical analysis, skilled in turning raw, messy data into clear, actionable business insights. Delivered 10+ Power BI/Tableau dashboards that cut manual reporting effort by 40%, reduced data preparation time by 30% through structured EDA, and applied hypothesis testing and A/B testing to validate business decisions. Strong foundation in ETL workflows, data cleaning, KPI tracking, and exploratory data analysis, with working knowledge of machine learning fundamentals and Generative AI tools for analytics automation.

Skills & Expertise (52)

Power BI Intermediate

7.5/10

Years Exp

Tableau Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Statistical Analysis Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Python Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

6.5/10

Years Exp

Git Intermediate

6.5/10

Years Exp

Jupyter Notebook Intermediate

6.5/10

Years Exp

Exploratory data analysis ETL Pipelines A/B testing Classification Data Ingestion Transformation PySpark Data Quality Checks Predictive Modeling Regression Plotly Time Series Forecasting scikit-learn OpenAI API Prompt Engineering LangChain RAG Pipelines GitHub VS Code Google Colab Automation MySql Postgresql Joins Window Functions CTEs Subqueries Query Optimization Pandas NumPy Data Wrangling Scripting Hypothesis Testing Excel Pivot Tables VLOOKUP XLOOKUP Formulas What-If Analysis Google Looker Studio Matplotlib Seaborn KPI Dashboards

Work Experience

Data Science & AI Consultant Intern

Rubixe Technologies

Jun 2025 - Feb 2026

Performed structured EDA on real-world datasets — missing value treatment, outlier detection, and feature engineering — reducing data preparation time by ~30% across 5+ business domains. Built and maintained 10+ interactive Power BI and Tableau dashboards with KPI tracking and drill-down filters, informing resource-allocation decisions for 3+ stakeholder teams and cutting manual reporting effort by ~40%. Wrote complex SQL queries (joins, window functions, CTEs) to extract, clean, and aggregate data from MySQL/PostgreSQL databases for analysis and reporting. Managed end-to-end ETL pipelines — data ingestion, transformation, and validation — supporting 8+ analytics projects. Conducted A/B testing and hypothesis testing (t-tests, chi-square) to validate business strategy changes and presented findings clearly to non-technical stakeholders. Applied predictive modeling techniques (Scikit-Learn, XGBoost) achieving average model accuracy >85%, supporting data-driven forecasting and decision-making. Leveraged OpenAI API and LangChain to prototype a GenAI-assisted Q&A tool, cutting internal query-resolution time by ~60%.