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Data Analyst with less than a year in Python, SQL, and Power BI for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented Data Analyst with hands-on experience in Python, SQL, and Power BI. Proficient in extracting insights from large datasets, creating interactive dashboards to drive business decisions. Strong command over data cleaning and visualization using tools like Pandas and Matplotlib. Adept at communicating insights with clarity and solving real-world problems with data.
Medicaps University
B.Tech CSE · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Customer Shopping Behavior Analysis
March 1, 2024 – May 1, 2024
Cleaned and analyzed 3,900+ customer purchase records using Python and Pandas. Performed SQL analysis to extract insights on revenue, top products, and customer segments. Designed an interactive Power BI dashboard with KPIs and filters for business reporting. Delivered actionable insights to improve subscription growth, loyalty, and product strategy.
Mobile Sales Analysis Dashboard
December 1, 2023 – February 1, 2024
Visualized city-wise sales, transactions, and average price using interactive dashboards. Built dynamic filters for month, brand, model, payment method, and day. Analyzed key metrics: ₹769M sales, 19k units, 4k transactions, top models sold. Identified trends like peak sales days, UPI dominance, and strong brand performance.
OLA Bookings Analysis
September 1, 2023 – November 1, 2023
Analyzed OLA booking data to identify trends in rides, cancellations, and customer behavior. Wrote SQL queries to extract KPIs such as top customers, ride distances, and cancellation reasons. Built interactive Power BI dashboards showing booking status, payments, and vehicle performance. Delivered insights on UPI usage, premium vehicle preference, and customer retention strategies.
PwC Switzerland Power BI Job Simulation on Forage
PwC Switzerland
February 1, 2025 – Present
Accenture North America Data Analytics and Visualization Job Simulation on Forage
Accenture North America
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics skills. The certifications from PwC and Accenture indicate an interest in industry-relevant simulations, suggesting a drive for practical application and professional development. The diversity of projects (OLA bookings, mobile sales, customer shopping behavior) shows a broad interest in different data domains. This indicates a potential good fit for a role that values continuous learning and practical problem-solving, aligning with a culture that encourages initiative and skill development.
Soft Skills & Operational Fit
The candidate's resume highlights an 'analytical and detail-oriented' approach and an ability to 'communicate insights with clarity'. Project descriptions indicate a problem-solving mindset by delivering actionable insights. The academic projects suggest a capacity for structured work and project execution. However, without specific behavioral assessment data or interview insights, a comprehensive evaluation of soft skills like teamwork, stress handling, or adaptability is not possible.