Anushka Saxena
Data & Business Analyst | SQL • Python • Tableau • Power BI | Transforming Data into Strategic Business Insights
Professional Summary
Recent BTech graduate in Computer Science with proven expertise in data analysis, SQL, Python, and Tableau. Demonstrated ability to translate complex datasets into actionable business insights. Currently seeking analyst roles where I can drive data-informed decision-making and operational excellence.
Most recently served as Technical Product Support Specialist at EASYECOM (August 2024 - October 2025), addressing technical challenges and supporting product operations. Passionate about driving impactful solutions through analytical insights in data analysis, business intelligence, and product support roles.
Location
Greater Delhi Area
Education
BTech, Computer Science (2020-2024)
Contact
+91 9711110258
Technical Expertise
Analytics & Reporting
Data Analysis, KPI Reporting, Dashboard Development, Ad-hoc Analysis, Data Cleaning & Validation
Technical Skills
SQL (Joins, Aggregations), Python (Pandas, NumPy, Matplotlib), Advanced Excel, Relational Databases, ETL Concepts
Business Acumen
Business Requirement Analysis, Root Cause Analysis, Stakeholder Collaboration, Process Improvement, Data Storytelling
Recent Role
Codec Technologies
Data Analyst Intern
January 2026 - February 2026
- Cleaned and analyzed structured datasets using Python (Pandas, NumPy), SQL, and Excel, ensuring data accuracy and consistency
- Performed Exploratory Data Analysis (EDA) to identify trends, patterns, and insights for analytical reporting
- Built basic dashboards and visualizations and applied machine learning fundamentals to understand predictive analytics workflows
Featured Projects
Real-world analytics work demonstrating data-driven problem solving. These portfolio projects showcase key analyst skills like data manipulation, visualization, and actionable insights to drive business impact.
Sales Performance Analysis
Power BI | SQL | Excel
Business Problem:
Regional sales teams lacked real-time visibility into performance metrics, making it difficult to identify underperforming regions and product categories quickly.
Approach:
- Extracted and cleaned sales data from multiple sources using SQL
- Built interactive Power BI dashboards with KPIs for revenue, growth rate, and top products
- Implemented drill-down capabilities for regional and product-level analysis
Key Impact:
- ✓ Identified 3 underperforming regions, enabling targeted intervention
- ✓ Reduced decision-making turnaround by 30%
- ✓ Enabled real-time performance tracking for 50+ stakeholders
Customer Churn Prediction & Analysis
Python | Pandas | Matplotlib | Excel
Business Problem:
High customer churn rate (18%) with no clear understanding of root causes, impacting revenue retention and customer lifetime value.
Approach:
- Performed exploratory data analysis (EDA) on 10,000+ customer records
- Identified churn patterns by customer tenure, usage frequency, and engagement metrics
- Created visualizations highlighting key churn drivers and correlations
- Segmented customers by risk level for targeted retention strategies
Key Impact:
- ✓ Identified 4 primary churn drivers (low engagement, pricing sensitivity, support issues)
- ✓ Provided actionable insights for retention team to reduce churn by 12%
- ✓ Enabled predictive segmentation for proactive customer outreach
Automated SQL Reporting System
SQL | MySQL | Excel | Database Design
Business Problem:
Manual monthly reporting consumed 20+ hours of analyst time, was error-prone, and delayed insights to stakeholders by 3-5 days.
Approach:
- Designed and optimized SQL queries using JOINs, CTEs, window functions, and aggregations
- Created reusable reporting views for common business metrics
- Automated data extraction and transformation for 15+ monthly reports
- Documented query logic and created data dictionary for team reference
Key Impact:
- ✓ Reduced monthly reporting effort by 40% (20 hours → 12 hours)
- ✓ Improved data accuracy and consistency across reports
- ✓ Enabled faster insights delivery to stakeholders (3-5 days → same day)
- ✓ Created scalable foundation for future reporting needs
Operations Analytics & SLA Optimization
Excel | Power BI | Data Analysis
Business Problem:
Operations team was missing SLA targets with 15% non-compliance rate. Root causes of delays were unclear, impacting customer satisfaction and fulfillment efficiency.
Approach:
- Analyzed order cycle times and SLA adherence across 5,000+ orders
- Identified bottlenecks in fulfillment workflow using process mining techniques
- Created Excel dashboards tracking daily SLA compliance by fulfillment center
- Segmented delays by type (inventory, processing, shipping) for targeted improvements
Key Impact:
- ✓ Identified 3 critical bottlenecks causing 60% of delays
- ✓ Provided insights that improved SLA compliance from 85% → 94%
- ✓ Reduced average order cycle time by 2 days
- ✓ Enabled data-driven process improvements saving 15+ hours/week
Why Hire Me
Data Analysis
Python Programming
Advanced Excel
SQL Expertise
Problem Solving
Collaboration
My proven track record demonstrates a consistent ability to translate complex data into tangible business impact, solving real-world problems and driving significant ROI. I bring expertise in transforming raw data into actionable insights that optimize operations and enhance decision-making. Ready to contribute immediately, I am eager to leverage my analytical prowess to deliver measurable value and elevate your team's strategic capabilities.
Let's Connect
Ready to Collaborate
Seeking opportunities in data analysis, business intelligence, or product support roles where I can leverage my technical skills and analytical mindset to drive meaningful business outcomes.
Delhii | +91 9711110258