Siddula Shivani
Data Analyst • Hyderabad, Telangana • s***************@gmail.com • +91*******412 • linkedin.com/••••• • shivanisiddula.lovable.app/•••••
Professional Summary
Data professional with 1.8 years of experience supporting reporting, data analysis, and cross-functional operations. Proficient in SQL, Python, Power BI, and Excel, with hands-on experience in data cleaning, preprocessing, dashboard development, and transforming complex datasets into actionable insights. Skilled at creating clear reports and visualizations that support evidence-based decision-making. Seeking to contribute strong analytical and problem-solving skills as a Data Analyst in a data-driven organization.
Technical Skills
Programming Languages: Python
Databases: SQL,PostgreSQL
Data and Analytics: Power BI,DAX,Advanced Excel,Pivot Tables,Power Query,Data Visualization,Dashboard Development
Analytics & Reporting: MIS Reporting,KPI Development & Monitoring,Trend Analysis,Root Cause Analysis,Performance Analysis,Business Intelligence,Reporting Automation,Operational Reporting
Business & Commercial Analytics: Revenue Analytics,Commercial Analytics,Business Insights,Data-Driven Decision Making,Cross-Functional Collaboration
Data Management: Data Cleaning,Data Validation,Data Quality Monitoring,Exception Reporting,Data Reconciliation
Work Experience
Tech Mahindra SMART Academy
AI - Data Quality Analyst
Feb 2026 – Jun 2026
Completed industry-focused training in SQL, Python, Power BI, and Advanced Excel to perform data validation, quality analysis, dashboard development, and operational reporting.
Tech Stack: PostgreSQL, SQL, Python, Pandas, Power BI, Excel
- Implemented data quality checks (completeness, duplicates, outliers, trend breaks) using SQL and Python to strengthen reporting reliability.
- Designed interactive Power BI dashboards to monitor KPI trends, performance metrics, and reporting exceptions, enabling faster business decision-making.
- Created standardized Excel reporting templates using Pivot Tables, formulas, and conditional formatting to improve reporting efficiency.
- Conducted trend analysis and root-cause investigations to identify recurring data quality issues and recommend corrective actions.
- Prepared data quality documentation and handover artifacts to support program reproducibility and knowledge transfer to trainers and analysts.
- Applied descriptive statistical techniques (mean, median, standard deviation, trend analysis) using Python and Excel to identify patterns and support data-driven decision-making.
Shivam Medisoft Services
Operations Executive
Jun 2024 – Jan 2026
Operations role at a medical/healthcare services provider supporting multiple client accounts through operational reporting, quality checks and process improvements.
Tech Stack: Excel, Pivot Tables, Google Sheets, Reporting
- Analyzed operational datasets using Advanced Excel and Pivot Tables to identify performance trends, business opportunities, reporting exceptions, and process improvement areas.
- Developed recurring MIS dashboards covering productivity, SLA adherence, aging, backlog, and KPI performance to support management decision-making.
- Performed trend analysis and root-cause investigations on SLA misses and operational bottlenecks, enabling timely corrective actions.
- Reconciled datasets from multiple sources to ensure reporting accuracy, consistency, and audit readiness.
- Collaborated with cross-functional stakeholders to provide analytical insights supporting operational planning and performance improvements.
- Improved reporting efficiency by maintaining standardized reporting templates and validation processes.
Projects
Stack Overflow Developer Survey Insights | Jun 2026 – Jun 2026
Tools Used: PostgreSQL, SQL, Data Analysis
- Processed and analyzed 49,200 survey records using PostgreSQL and advanced SQL to clean, transform and normalize the dataset for analysis.
- Applied window functions and aggregations to identify compensation and technology adoption trends across developer demographics.
- Produced query-driven deliverables that supported actionable insights on salary benchmarks and skill demand for stakeholder review.
- Conducted statistical analysis to identify technology adoption patterns and compensation trends using advanced SQL.
Spotify Listening Trend Analysis Dashboard | May 2026 – May 2026
Tools Used: Power BI, DAX, Data Modeling
- Developed an interactive Power BI dashboard using 66 DAX measures to monitor KPIs, analyze trends, and support data-driven decision-making.
- Implemented data modeling and calculated measures to track KPIs and create drill-through visuals supporting exploratory analysis.
- Delivered visuals and insights enabling rapid identification of listening pattern shifts and top-performing artists/genres.
Project Management Analytics Dashboard | Apr 2026 – Apr 2026
Tools Used: Microsoft Excel, Pivot Tables, KPI Reporting
- Built an Excel dashboard using Pivot Tables, KPI Cards, Charts, and Slicers to monitor business performance, identify operational risks, and support strategic decision-making.
- Designed visuals and summary metrics to identify business risks, highlight schedule variances and support strategic decision-making.
- Standardized report formats to enable non-technical stakeholders to explore project KPIs and trends without additional support.
Education
Bankatlal Badruka College for Information Technology
Master of Science in Computer Science • Hyderabad • Dec 2021 – Oct 2023
Avanthi Degree and PG College
Bachelor of Science in Mathematics, Physics & Computer Science (MPCS) • Hyderabad • Jun 2018 – Sep 2021
Certifications
AI - Data Quality Analyst — Tech Mahindra SMART Academy
SQL for Data Analysis — Simplilearn
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