Portfolio - Diksha Mittal

About Me

Hi, I'm a Data Analyst with a strong foundation in data cleaning, analysis, and visualization. I’ve worked on a range of real-world projects, including a live project at EY where I used tools like Alteryx, Power BI, SQL, and Excel to uncover insights and support strategic decision-making.

With a background in engineering and hands-on experience from internships and live business environments, I enjoy transforming raw data into meaningful stories that help businesses grow. Whether it's building dashboards, automating workflows, or exploring trends, I bring a blend of technical skills and analytical thinking to every project.

I’m always eager to take on new challenges, learn new tools, and collaborate on data-driven solutions that make a difference.

Key Skills

Power BI

Python

Excel

SQL

Alteryx

My Projects

Excel-Sales and Finance Analytics Project of AtliQ Hardwares

Domain/Function: Consumer Electronics and Hardware Industry/Sales Analytics

My Experience

EY GDS (via Alchemy Techsol Pvt Ltd), Bengaluru – Data Analyst
Dec 2024 – Feb 2025
• Built automated workflows using Alteryx that cleansed and validated 80% of client data, enhancing data reliability and ensuring compliance across global insurance datasets.
• Conducted variance analysis on over $1M in financial data, improving accuracy prior to integration into Helix and supporting business-critical decisions.
• Leveraged DDI Loss Triangle and DDI Investment tools to analyze a decade of insurance claims, identifying underlying patterns responsible for 15% of financial loss.
• Developed interactive Power BI and Excel dashboards for the HR department, streamlining reporting processes and improving operational efficiency by 50%.

ICT Academy in Collaboration with Capgemini – Data Analyst Intern
Jul 2023 – Sep 2023
• Enhanced data processing efficiency by 30% through advanced manipulation with Pandas and NumPy, enabling quicker access to HR analytics insights.
• Executed exploratory data analysis (EDA) and visualizations using Matplotlib, which accelerated HR decision-making by 15%.
• Delivered data-driven insights that contributed to a 20% improvement in employee retention strategies by identifying key attrition factors.