divya sri

Data Analyst

Bangalore 1+ yrs exp 83 · Excellent

About

Data Analyst skilled in SQL, Python, Power BI, and Excel, with experience in data analysis, EDA, dashboard development, KPI monitoring, and reporting automation. Proven ability to transform complex data into actionable insights that improve operational efficiency and support business decision-making.

Skills & Expertise (21)

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Data Analysis Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

Advanced Excel Intermediate

7.0/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Machine Learning Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Reporting Automation Root Cause Analysis SLA Monitoring KPI Tracking MySql ServiceNow Problem Solving Statistical Modeling Matplotlib Java

Work Experience

Data Analyst Intern

Bluestock Fintech

Jun 2026 - Present

Analyze 40+ mutual fund schemes using Python, SQL, Power BI, to build an end-to-end mutual fund analytics solution. Perform exploratory data analysis on financial datasets to identify investment trends, evaluate fund performance, and generate actionable business insights. Develop interactive Power BI dashboards and automate data preparation and reporting workflows to support data-driven decision-making.

Analyst

State Street via Mthree

Nov 2024 - Nov 2025

Leveraged SQL, Python, and Excel to extract, clean, transform, and analyze large operational datasets, improving data accuracy by 25%. Developed interactive Power BI dashboards to monitor KPIs, SLA compliance, incident trends, and operational performance for business stakeholders. Conducted trend and root cause analysis, identifying recurring issues that contributed to a 20% reduction in incident recurrence. Automated recurring reporting processes using Python and SQL, reducing manual effort by 40% and improving reporting efficiency. Collaborated with cross-functional stakeholders to deliver actionable insights that improved operational efficiency and service reliability.