📍 Bengaluru, India | Brought up in Kolar Gold Fields (KGF)
I’m a Data Analyst with 2 years of experience working with financial, transaction, and operational data.
I enjoy turning raw data into meaningful insights, improving data quality, automating repetitive processes, and building dashboards that help teams make better decisions.
- Experienced in financial data analysis, transaction categorization, and data validation
- Worked on bank and credit card statement extraction
- Developed Regex-based extraction rules for structured and semi-structured data
- Built dashboards using Power BI, Looker Studio, and Metabase
- Automated workflows using SQL, BigQuery, Excel, and Google Sheets
- Worked with KPIs such as Revenue, Repeat Rate, AOV, Orders per Customer, and LTV
- Collaborated with Data Science, client, business, and cross-functional teams
- Background in Electrical and Electronics Engineering
- Completed a Data Analytics certification from Masai School
- Developed Regex-based extraction rules for new bank and credit card statement formats
- Improved transaction categorization fill rate from 84.3% to 93.1%
- Investigated data inconsistencies, extraction failures, and categorization issues
- Validated POC and ad-hoc outputs with Data Science teams
- Worked on improving the accuracy and reliability of financial data
- Worked with 1,200+ daily leads and operational datasets
- Built dashboards tracking:
- Revenue
- Repeat Rate
- Average Order Value
- Orders per Customer
- Lifetime Value
- Contributed to a 15% increase in revenue
- Automated lead allocation and reporting using SQL, BigQuery, and Excel
- Reduced processing time from 3 hours to 1.5 hours
- Achieved 100% lead coverage
- Helped increase consultation capacity from 24 to 40 per doctor
Tools: Python, Pandas, Excel, Data Visualization
- Collected and studied 12 months of vegetable price data
- Compared prices across Noida, Delhi, and neighboring markets
- Identified seasonal pricing patterns and trends
- Studied the impact of price variations across different income groups
- Built an interactive dashboard to present the findings clearly
Data Cleaning
Data Validation
EDA
ETL
Data Quality
Financial Data Analysis
Transaction Categorization
Anomaly Detection
Root Cause Analysis
Time-Series Analysis
KPI Reporting
Dashboarding
Process Automation
Stakeholder Management
Scaled daily lead allocation capacity from:
200 leads/day → 1,200 leads/day
through automation using Excel, BigQuery, and Google Sheets.
Amrita School of Engineering, Bengaluru
Masai School
I’m currently strengthening my knowledge in:
- Advanced SQL
- Python for Data Analysis
- Statistics and Probability
- Machine Learning
- Data Quality and Data Governance
- Financial and Risk Analytics
- End-to-End Data Analytics Projects
My goal is to continue growing in Data Analytics while gradually expanding into Data Science, Machine Learning, and Financial & Risk Analytics.
I want to build strong problem-solving skills and use data to solve practical business problems.
Outside work, I enjoy:
- 🏑 Playing Field Hockey
- 🏋️ Fitness and working out
- 📚 Reading self-development books
- 🎧 Learning through podcasts and educational content
I'm always open to connecting with people interested in Data Analytics, SQL, Python, BI, Data Science, and Financial Analytics.
Turning data into insights, insights into decisions, and repetitive processes into automation.