I'm a Data Analyst fresher with cross-domain analytics experience across EV, healthcare, retail, and telecom — turning raw datasets into KPI dashboards, statistical models, and stakeholder-ready insight. I've processed 60,000+ records across four end-to-end projects, cutting manual reporting time by 60% and shipping predictive models that inform real business decisions.
I specialize in the full analytics workflow — from data cleaning and EDA to dashboard delivery — using SQL, Python, Power BI, Tableau, and Excel to convert raw data into decisions stakeholders can act on.
- 🔭 Currently sharpening dashboarding and statistical analysis skills across new domains
- 🌱 Deepening my skills in advanced SQL, statistical modelling, and data storytelling
- 🎯 Open to: Data Analyst · Business Analyst · BI Analyst roles
- 📍 Based in Dharmavaram, Andhra Pradesh — open to Hyderabad, Bengaluru, Chennai, Pune, Mumbai & remote
- 🏅 Oracle Certified — Analytics Cloud & Database Services (2025)
Languages & Querying
BI & Data Visualization
Data Engineering & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| Exploratory Data Analysis | ⭐⭐⭐⭐⭐ | Schema profiling, missing-value treatment, statistical pattern detection at 30K+ record scale |
| Business Intelligence | ⭐⭐⭐⭐⭐ | Power BI / Tableau dashboarding, DAX, self-service reporting |
| SQL & Data Querying | ⭐⭐⭐⭐ | Joins, correlated subqueries, window functions, aggregations |
| Predictive Modelling | ⭐⭐⭐⭐ | Random Forest churn classification, 82% accuracy on 6,418-record hold-out set |
| Data Quality & Governance | ⭐⭐⭐⭐ | Validation pipelines resolving 1,200+ inconsistencies, accuracy raised above 95% |
⚡ EV Charging Data Analysis & Visualization Tool
End-to-end EV charging data analysis pipeline built during a 240-hour AICTE-recognised Data Analytics internship — from raw ingestion to executive dashboard deployment.
| Stack | Tableau, Excel, Python, SQL |
| Scale | 30,000+ EV charging records |
| Performance | Cut manual reporting effort by 40% |
| Impact | Surfaced ~18% efficiency decline during peak utilisation, feeding 3 interactive Tableau dashboards across 8+ KPIs |
| Repository | Visualization-Tool-for-Electric-Vehicle-Charge-and-Range-Analysis |
Designed and executed a full EDA pipeline covering schema profiling, missing-value treatment, and duplicate resolution, resolving 1,200+ data inconsistencies and raising verified accuracy above 95% before downstream analysis.
📉 Customer Churn Analysis & Prediction Dashboard
Diagnosed telecom customer attrition and built a predictive scoring system to enable proactive retention targeting.
| Stack | Power BI, SQL, Python (Scikit-learn) |
| Scale | 6,418 customer records, 1,732 churned (27% churn rate) |
| Performance | Random Forest model — 82% accuracy on hold-out test set |
| Impact | Month-to-Month contracts showed 46.5% churn — 72% above dataset average |
| Repository | Customer-Churn-Analysis-and-Prediction |
Translated stakeholder requirements into an interactive Power BI dashboard with DAX-driven KPIs, and authored SQL queries for segmentation and churn cohort monitoring.
🍕 Pizza Sales Analysis Dashboard
Multi-tab Excel KPI dashboard uncovering revenue drivers and demand patterns for a retail pizza business.
| Stack | Excel (Pivot Tables, Power Query, Dynamic Charts) |
| Scale | 21,000+ orders, $817K in revenue |
| Performance | Top 3 categories identified driving 62% of total sales |
| Impact | Recommended reallocating 30%+ of promo spend to peak windows — projected 15–20% weekend revenue lift |
| Repository | Pizza-Sales-Analysis |
🏥 Hospital Emergency Room Analysis Dashboard
Operational analytics dashboard for ER wait-time and bottleneck diagnosis.
| Stack | Power BI, MySQL |
| Scale | 9,200+ patient records |
| Performance | Converted 7 operational questions into multi-table SQL queries (joins, correlated subqueries, window functions) |
| Impact | Identified 3 departments driving 70% of peak-hour bottlenecks; recommended staffing changes projecting a 20% wait-time reduction |
| Repository | Emergency-Room |
Data Analyst Intern — AICTE & APSCHE, SmartInternz (SmartBridge)
Oct 2025 – Mar 2026
Delivered end-to-end EV charging data analysis across a 240-hour, AICTE-recognised internship — from raw data ingestion through executive dashboard deployment.
- Owned data quality for a 30,000-record production dataset, resolving 1,200+ inconsistencies and raising accuracy above 95%
- Designed 3 interactive Tableau dashboards across 8+ KPIs, cutting stakeholder insight-extraction time by 60%
- Surfaced peak-utilisation efficiency decline of ~18%, incorporated as a primary KPI segmentation dimension
Tableau Excel Python SQL Git GitHub
| Recognition | Details |
|---|---|
| Oracle Cloud Database Services 2025 | Certified Professional, Oracle University |
| Oracle Analytics Cloud 2025 | Certified Professional, Oracle University |
| AICTE-Recognised Internship | 240-hour Data Analytics internship, SmartBridge / APSCHE |
| Quantified Impact Portfolio | 60,000+ records processed, 60% reporting time reduction across 4 published projects |
Oracle
Rooman Technologies
SmartBridge / APSCHE
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learning:
- Advanced SQL performance tuning
- Statistical modelling & forecasting techniques
- Data storytelling for executive audiences
building:
- New Power BI / Tableau dashboards across additional domains
- Deeper predictive analytics case studies
exploring:
- Process improvement through data-driven recommendations
- Interactive dashboard-driven portfolio design
open_to:
- Data Analyst
- Business Analyst
- BI Analyst
"Data tells the story — analysis decides what happens next."