Data Analyst with less than a year in Power BI & Tableau.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aditi Shrivastava is an aspiring Data Analyst with 5 months of hands-on experience in developing insightful dashboards and performing data analysis. She is proficient in tools like Power BI, Tableau, MySQL, and Python. Her recent work includes creating CRM and cost dashboards, analyzing retail and product data, and performing market research.
Vijay Patil School of Management
MBA · Business Analytics
N/A – June 30, 2026
Pace Junior Science College
HSC
N/A – May 31, 2019
Atomic Energy Central School
SSC
N/A – May 31, 2017
Fr. Conceicao Rodrigues Institute of Technology
BE · Electronics and Telecommunication
N/A – June 30, 2024
Chemtron Science Laboratory Private Limited
Intern
May 1, 2026 – Present
Mumbai, Maharashtra, India
Sahayak Foundation
Business Development and Analytics Intern
May 1, 2025 – August 1, 2025
Mumbai, Maharashtra, India
Data Visualization
January 1, 2026 – January 1, 2026
Completed a guided project using Tableau to analyze retail data and create dashboards that highlighted revenue trends and growth opportunities for better business decisions.
Financial Reporting with Tableau
December 1, 2025 – December 1, 2025
Created multiple trend analysis dashboards using to visualize key financial metrics of a company—gross margin, R&D and SG&A expenses, and YoY net income growth—enabling clear performance tracking and supporting strategic financial planning.
Data modelling with Power BI using DAX
September 1, 2025 – September 1, 2025
Built an interactive dashboard to analyze product-level data and identify cakes containing chocolate, enabling financial planning decisions around chocolate procurement and cost optimization.
Quantitative Analysis and Visualization
January 1, 2024 – January 1, 2024
Built a relational library management system to model data, analyze borrowing and fine trends, and create interactive input forms—supporting data-driven monitoring of library usage, staff efficiency, and inventory planning.
Financial Reporting with Tableau: Parameters & Filters
Coursera
June 1, 2026 – Present
Data Analysis with Python
Coursera
June 1, 2026 – Present
Data modelling with Power BI: Advanced DAX Calculations
Coursera Project Network
June 1, 2026 – Present
Data Visualization: Empowering Business with Effective Insights
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in data analysis and visualization, aligning well with a Data Analyst role. The diversity of projects, from library management systems to financial reporting and retail data analysis, indicates adaptability and a broad understanding of data applications across different domains. The current MBA in Business Analytics further strengthens the cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate lists critical thinking, problem-solving, collaboration, and communication as soft skills. Project descriptions indicate an ability to work on structured tasks and contribute to business insights. The internship experience at Chemtron Science Laboratory shows an operational fit for roles requiring dashboard development and data quality auditing. The Sahayak Foundation internship also demonstrates an analytical approach to business development.