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Business Intelligence Developer with 2+ years in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBA in Business Analytics with a Computer Engineering background and hands-on experience in SQL, Python, Power BI, Excel, and data visualization. Skilled in transforming raw data into actionable insights through dashboards, reporting, and analytical problem-solving.
MIT-ADT University, Pune
M.B.A · Business Analytics
August 1, 2024 – June 30, 2026
Padre Conceicao College of Engineering, Verna
B.E · Computer Engineering
August 1, 2020 – June 30, 2024
Food Express, Goa
Business Analyst Intern
June 1, 2025 – August 1, 2025
Panaji, Goa, India
IFB Limited, Goa
Intern
August 1, 2024 – Present
Panaji, Goa, India
Goa Shipyard Limited, Goa
Intern
July 1, 2023 – September 1, 2023
Panaji, Goa, India
Blinkit Sales Data Analytics Project
June 1, 2026 – Present
Analyzed 8,500+ product records to understand factors influencing sales performance across outlets. Performed data cleaning, preprocessing, and exploratory data analysis using Python libraries including Pandas and NumPy. Created visualizations to evaluate the impact of item visibility, outlet type, and establishment year on sales. Generated business insights that highlighted key sales drivers and supported data-based decision-making.
Pizza Sales Data Analytics Project
June 1, 2026 – Present
Analyzed 48,000+ pizza sales transactions to identify revenue trends and customer purchasing behavior. Utilized Power Query and PivotTables to clean, organize, and summarize sales data efficiently. Built interactive dashboards to monitor revenue, order volume, average order value, and top-selling products. Identified peak sales periods and best-performing pizza categories to support business planning.
OLA Ride Booking Data Analysis Project
June 1, 2026 – Present
Analyzed a dataset containing 100,000+ ride booking records to evaluate booking patterns, cancellations, and revenue trends. Cleaned and transformed raw data using SQL to improve consistency and prepare it for analysis. Developed an interactive Power BI dashboard tracking ride volume, booking status, vehicle categories, and customer ratings. Identified peak-demand periods and cancellation trends, enabling data-driven operational recommendations.
Python
Unknown
June 1, 2026 – Present
NPTEL Courses (Honours)
NPTEL
June 1, 2026 – Present
Microsoft Power BI Desktop for Business Intelligence
Unknown
June 1, 2026 – Present
Data Visualization: Empowering Business Insights
Unknown
June 1, 2026 – Present
Microsoft Excel: Beginner to Advanced
Unknown
June 1, 2026 – Present
Microsoft Project Management
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse application of data analysis skills across different domains (retail sales, food delivery, ride-sharing), indicating adaptability and a broad interest in business problems. The combination of a Computer Engineering background with an MBA in Business Analytics shows a proactive approach to skill development and career alignment with data-centric roles. The personal projects highlight initiative and self-learning, which are positive indicators for cultural fit in a dynamic environment. However, the lack of detailed descriptions for internships makes it hard to gauge experience in collaborative, corporate settings.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights, which is crucial for a Business Intelligence Developer. The focus on identifying trends and making recommendations suggests good analytical thinking and problem-solving skills. However, without specific behavioral assessment data or detailed internship descriptions, it's difficult to fully assess soft skills like teamwork, communication in a professional setting, or stress handling.