Data Visualization Designer · Business Intelligence Analyst · Analytics Professional
📍 St. Louis, MO — Open to Work in the USA
"I don't just analyze data — I tell its story."
Data Visualization Designer and Analytics professional with a Master's degree with a concentration in Data Analytics and 3.5+ years of enterprise IT experience based in St. Louis, MO — open to work anywhere in the USA.
I specialize in transforming complex, multi-source datasets into clear and compelling visual stories — from data cleaning and transformation using Python and SQL, to designing interactive dashboards in Tableau and Power BI that help organizations understand trends, risks, and performance metrics.
My background gives me a unique edge in data accuracy, risk awareness, and responsible data practices. I build visualization products that make information accessible and actionable for any audience — from operational teams to executive leadership and board members.
reshma = {
"focus" : ["Data Visualization", "Business Intelligence", "Data Storytelling"],
"tools" : ["Tableau", "Power BI", "Python", "SQL", "Excel"],
"strength" : "Turning raw data into decisions",
"location" : "St. Louis, MO — Open to Work anywhere in the USA",
"currently" : "Building portfolio & seeking BI / Data Analyst roles"
}
| Area | Details | |
|---|---|---|
| 📊 | BI Dashboards | Interactive dashboards in Tableau & Power BI for business stakeholders |
| 📈 | Data Visualization | Translating complex datasets into clear, compelling visual stories |
| ⚙️ | Data Pipelines | Python ETL pipelines for cleaning, transforming, and aggregating data |
| 🗄️ | SQL Analytics | Advanced querying, data modeling, and multi-source aggregation |
| 🔐 | Security Analytics | SIEM log analysis, CVSS risk scoring, threat intelligence dashboards |
| 📊 Visualization & BI | 💻 Data Engineering | 🔐 Security Analytics |
|---|---|---|
| Tableau | Python (Pandas, NumPy) | SIEM Log Analysis (ELK Stack) |
| Power BI | SQL (CTEs, Window Functions) | CVSS Vulnerability Scoring |
| Plotly · Matplotlib | ETL Pipelines | Threat Intelligence |
| Dashboard Design | Data Cleaning & Transformation | Risk Quantification |
| KPI Development | Feature Engineering | Anomaly Detection |
| Data Storytelling | REST APIs | Automated Risk Scoring |
Reporting & Platforms: Excel (Pivot Tables, Macros) PowerPoint GitHub Linux AWS Fundamentals Snowflake (Basic)
Python SQL Pandas Tableau Power BI REST APIs
Transforming 100,000+ records of global sales data into executive-ready business intelligence
| Metric | Result |
|---|---|
| 📦 Records Processed | 100,000+ |
| ⚡ Data Prep Time Saved | 40% faster |
| 👥 Audience | Business stakeholders & executives |
| 🛠️ Tools | Tableau, Power BI, Python, SQL |
- 🎯 Designed interactive Tableau and Power BI dashboards visualizing sales performance across regions, product lines, and time periods
- ⚡ Engineered an end-to-end ETL data pipeline processing 100,000+ records, reducing data preparation time by 40%
- 📖 Translated complex multi-source datasets into executive visual summaries surfacing revenue anomalies and growth signals
- 🔍 Built drill-down KPI dashboards enabling self-service BI reporting for business stakeholders
Python Pandas Power BI CVSS Scoring Data Visualization
Making security risk visible and understandable for executive decision-makers
| Metric | Result |
|---|---|
| 📊 Dashboard Type | Executive Power BI |
| 🔢 Scoring Model | CVSS-based risk pipeline |
| 👥 Audience | Technical analysts & senior leadership |
| 🛠️ Tools | Python, Pandas, Power BI |
- 📊 Developed an executive-level Power BI dashboard translating raw vulnerability data into quantified financial risk metrics
- 🔢 Built a CVSS-based risk scoring pipeline converting raw inputs into priority-tiered remediation recommendations
- 👥 Designed for dual audiences — meaningful for both technical analysts and non-technical senior leadership
Python Pandas Plotly SQL REST APIs Data Visualization
Automating threat data enrichment and surfacing intelligence through interactive visual dashboards
| Metric | Result |
|---|---|
| ⚡ Manual Lookup Reduction | ~60% faster |
| 🤖 Pipeline | Fully automated via REST APIs |
| 📈 Visualization | Interactive Plotly dashboards |
| 🛠️ Tools | Python, Plotly, SQL, VirusTotal API |
- 🤖 Built an automated data pipeline enriching raw IP log data via VirusTotal and AbuseIPDB APIs, cutting manual lookup time by ~60%
- 📈 Developed interactive Plotly dashboards visualizing threat score trends, geographic distribution, and severity breakdowns
- 🚀 Demonstrated full data product lifecycle — from raw ingestion to polished, decision-ready visual outputs
Open to Work in the USA · Data Analyst · Business Intelligence Analyst · Data Visualization · Remote & On-site