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Data Analyst with less than a year in BI systems and ETL pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data & Analytics early-career professional with hands-on experience building end-to-end analytics and BI systems using SQL, Advanced Excel and Power BI with proven impact: automated ETL pipelines processing 15.9M+ records and $9.5M in identified business opportunities. Skilled in KPI reporting, dashboard automation, and delivering data-driven insights that improve decision speed and accuracy.
Modern School
Higher Secondary Education, Grade 12 · PCM + Informatics Practices
N/A – May 31, 2022
Amity University
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
ApexPlanet Software Pvt. Ltd.
Data Analytics Intern
February 21, 2026 – April 21, 2026
India
Microsoft Elevate & AICTE (Analytics Project)
Analytics Project
January 20, 2026 – February 12, 2026
India
Uber Supply-Demand Gap Analysis
June 1, 2026 – Present
Processed 6,745+ ride records through Excel ETL pipeline, engineering 5 analytical features. Executed 14 SQL queries analyzing supply-demand gaps, cancellation patterns, and driver allocation efficiency. Uncovered 900+ daily unmet ride requests across 2 peak windows (05-09 AM: 400+; 17–21 PM: 500+). Identified route imbalances (City: 1,952 vs Airport: 565 morning requests) and delivered actionable staffing recommendations.
View ProjectMcKinsey Forward Program
McKinsey & Company
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Statistella Data Analytics Competition
IIT BHU
June 1, 2026 – Present
Power BI for Business Applications
Microsoft Elevate & AICTE
June 1, 2026 – Present
Data Science Foundations & Methodology
IBM
June 1, 2026 – Present
Career Essentials in Data Analysis
Microsoft & LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (retail, banking, ride-sharing) and certifications from various reputable organizations (McKinsey, IBM, Microsoft) indicates a broad interest in data analytics applications and a proactive approach to skill development. This diversity suggests adaptability and a willingness to engage with different business contexts. The candidate's early career stage and focus on foundational data analytics tools align with a growth-oriented culture. However, the limited professional experience (internships only) means their long-term cultural fit in a senior role is yet to be fully established.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and attention to detail through their project descriptions. Their ability to quantify impact and identify business opportunities suggests a business-oriented mindset. The internships and projects indicate a capacity for independent work and a structured approach to data analysis tasks. The candidate's proactive pursuit of certifications and participation in competitions suggest a strong drive for continuous learning and self-improvement, which aligns well with operational excellence.