Kanika Saini

About

Data Analyst with 2 years of experience in data analysis, Power BI dashboard development, SQL optimization, and data integration. Experienced in transforming complex datasets into actionable insights and supporting data-driven business decisions across cross-functional teams.

Experience

• Data Analyst Internship
  Victoria Solution
  Nov 2025 – Jan 2026
• Data Engineer
  LTIMindtree
  Aug 2022 – Aug 2023
• Data Analytics and AI/ML Intern
  Zensar Technologies
  Jan 2021 – Jun 2021

Education

• MSc Business Analytics and Consultancy
  University of Hertfordshire
  Business Analytics and Consultancy · Sep 2023 – Sep 2024
• Bachelor of Technology in Computer Engineering
  Bharati Vidyapeeth Deemed University College of Engineering
  Computer Engineering · Jul 2018 – Jul 2022

Skills

• SQL
• Data Analysis
• Data Visualization
• GitHub
• Time Management
• Project Management
• Python
• Power BI
• MySQL
• Presentation skills
• Data Cleaning
• Matplotlib
• NumPy
• Pandas
• Cross-functional Collaboration
• PostgreSQL
• Data Warehousing
• Seaborn
• Stakeholder Management
• Microsoft Azure
• Data Modeling
• ETL
• Data Integration
• Dashboard Development
• Excel
• Strategic Planning
• Requirement Gathering
• KPI Tracking
• Process documentation
• Statistical Analysis
• A/B Testing
• Data Reporting
• Azure Data Factory
• R
• Azure Synapse Analytics
• Agile
• Regression Analysis
• Problem-Solving
• Predictive Analysis
• Business Decision Support

Projects

• SuperStore Analytics Dashboard
  Power BI

  Interactive Power BI dashboard to analyze SuperStore sales, profit, and logistics performance. Included analysis by customer segment, product category, region, time trends, shipping costs, delivery methods, and order priority.

• Logistics Fleet Optimisation ↗
  Analytics

  Analytics project focused on enhancing operational efficiency of logistics fleets through data-driven strategies. Analyzed vehicle usage patterns and fuel consumption data to identify optimisation opportunities and developed strategies to minimise environmental impact while maintaining fleet performance.

Courses & certifications

• Microsoft Power BI Desktop for Business Intelligence
• Python Programming Bootcamp
• SQL - MySQL for Data Analytics and Business Intelligence
• Microsoft Power BI Data Analyst Associate (PL-300) · Training
• Microsoft Certified: Azure Fundamentals (AZ-900)
• Google Data Analytics Certification

🗣️ Languages

• English