About
Data Analyst skilled in SQL, Python, and Power BI, with experience delivering end-to-end analytics across e-commerce, HR, and procurement. Experienced in analyzing large datasets, validating insights with statistical testing, and building dashboards that support business decisions.
Experience
-
AI/ML InternElevate LabsJun 2025 – Jul 2025
-
Data Science with AI InternLabmentixMay 2025 – Jun 2025
Education
-
Bachelor of Science in Data ScienceGovt. Degree College for Women HyderabadData Science · 2022 – 2025
Skills
- SQL
- Git
- GitHub
- Problem Solving
- Python
- Power BI
- MySQL
- Data Cleaning
- Matplotlib
- NumPy
- Pandas
- Streamlit
- scikit-learn
- Power Query
- DAX
- Hypothesis Testing
- Seaborn
- Google Sheets
- Root Cause Analysis
- ETL
- Excel
- Statistical Analysis
- Data Storytelling
- KPI reporting
- Dimensional Modeling
- Dashboard Design
- Stakeholder Reporting
- Eda
- Ad-Hoc Analysis
- Drillthrough
Projects
-
Python, MySQL, Power BI
Validated attrition drivers using Python hypothesis testing on data extracted via MySQL. Designed a Power BI dashboard to surface salary gaps and overtime burnout signals for proactive HR intervention.
-
Python, MySQL, Power BI
Quantified revenue risk and cancellation exposure across 99K+ orders using Python and MySQL with CTEs and window functions. Delivered prioritized business recommendations through a drillthrough dashboard with DAX measures and star-schema modeling.
-
Python, SQL, Power BI
Confirmed a statistically significant vendor profit margin gap across 15M+ records using t-test and Mann-Whitney U testing. Exposed procurement concentration risk and unit-cost reduction opportunity by building a Power BI report with dimensional modeling.
Courses & certifications
- Foundations of AI – Internship · Microsoft initiative (Edunet Foundation, AICTE)
- Data Analytics and Job Simulation · Accenture North America
- Full Stack Data Science Masters · iNeuron