About Me
I am a Data Analyst and BI professional based in Hyderabad, India, with experience in security compliance reporting, risk remediation tracking, Power BI dashboard development, and Qlik Sense administration.
As an Apprentice at State Street, I manage a portfolio of 210+ applications with nearly 25,000+ vulnerabilities. I track risk items, coordinate with relevant teams, support remediation activities, and use Power BI to analyze compliance data and monitor progress.
I also perform Qlik Sense administration tasks, including report reruns, report publishing, and trigger management. Previously, I analyzed 150,000+ sales records using Python and Power BI, improving accuracy by 30% and reducing reporting time by 25%.
Technical Skills
Programming and Databases
Python, SQL, MySQL, Pandas, NumPy, Scikit-learn
Business Intelligence
Power BI, Qlik Sense, Dashboard Development, Data Visualization
Risk and Compliance Analytics
Security Compliance, Risk Reporting, Risk Remediation, Vulnerability Tracking, Data Validation, Stakeholder Coordination
Data Engineering and Statistics
ETL/ELT, Data Pipelines, Data Modeling, Data Warehousing, Regression, A/B Testing, Hypothesis Testing, Machine Learning
Experience
Apprentice – State Street
September 2025 – Present
- Managed a portfolio of 210+ applications with nearly 25,000+ vulnerabilities across multiple risk categories.
- Tracked and prioritized 10+ risk items under varying deadlines to support timely remediation and compliance closure.
- Coordinated with cross-functional teams to achieve a 90%+ remediation rate through structured follow-up and issue tracking.
- Used Power BI to analyze security compliance data and create dashboards for vulnerability and remediation tracking.
- Performed Qlik Sense administration tasks, including report reruns, report publishing, and trigger management.
Data Analyst Intern – Innobyte Services
Hyderabad | August 2024 – September 2024
- Cleaned and analyzed 150,000+ sales records using Python and Power BI, improving data accuracy by 30%.
- Built dashboards that reduced reporting time by 25%.
Data Science Virtual Intern – CodeAlpha
Remote | February 2025 – May 2025
- Developed data preprocessing pipelines to improve machine learning readiness.
- Delivered three data science projects within strict timelines.
AI Intern – CollegeTips.in
Hyderabad | July 2024 – August 2024
- Built a fake news detection model with 92% accuracy.
Featured Projects
Security Vulnerability Remediation Dashboard
Built a Power BI dashboard to analyze security compliance data for 210+ applications and track 25,000+ vulnerabilities, open risk items, overdue actions, and remediation progress.
Tools: Power BI, Risk Reporting, Data Analysis
Risk Item Tracking and Closure Analysis
Monitored 10+ risk items across different deadlines and analyzed remediation trends to support escalation and timely closure.
Tools: Power BI, Compliance Reporting, Risk Analysis
Qlik Report Monitoring Dashboard
Developed a dashboard to track Qlik report reruns, publishing status, trigger execution, and failures.
Tools: Qlik Sense, Report Publishing, Trigger Management
IBM SPSS Food Demand Analysis
Used IBM SPSS multiple regression to predict base price with an R² value of 0.91 and analyzed demand drivers including orders, meal type, and price.
Tools: IBM SPSS, Regression Analysis, Statistics
Retail Sales and Customer Segmentation
Processed and analyzed 100,000+ transactions using Python to generate customer segmentation and targeted marketing insights.
Tools: Python, Pandas, Data Analysis
Data Preprocessing and Feature Scaling
Automated data cleaning, preprocessing, and feature scaling steps for machine learning pipelines.
Tools: Python, Pandas, NumPy, Scikit-learn
A/B Testing Simulation
Built a t-test-based model to evaluate data-driven improvements and compare outcomes between test groups.
Tools: Python, Statistical Analysis, Hypothesis Testing
Certifications
Education
B.Tech in Artificial Intelligence and Data Science
St Peter’s Engineering College | 2021 – 2025
CGPA: 8.0/10
Relevant Coursework: Machine Learning, Data Mining, Database Management