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Data Analyst with 1+ years in business intelligence, data analysis, and full-stack development.
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 Analyst with 1.5 years of experience at Accenture, currently working on a Google client engagement (Google Play Partnerships). Comfortable with SQL, Python, and Power BI for building dashboards, analysing trends, and supporting business reporting. Strong attention to detail with a computer engineering background.
Thapar Institute of Engineering and Technology
BE · Computer Engineering
August 1, 2020 – June 30, 2024
Accenture
Associate Software Engineer – Data Analyst
January 1, 2025 – Present
Gurgaon, Haryana, India
Drish Infotech Ltd.
Full Stack Developer Intern
January 1, 2024 – June 1, 2024
Mohali, Punjab, India
E-Commerce Sales Dashboard
October 1, 2024 – December 1, 2024
Designed a Power BI dashboard tracking sales revenue and product KPIs across multiple regions using DAX and Power Query. Investigated sales trends using SQL and identified a noticeable revenue drop in the Electronics category, summarised in Excel reports.
HR Attrition Analysis
July 1, 2024 – September 1, 2024
Examined 1,470 employee records using Python and Pandas to identify attrition patterns across departments, tenure, and salary bands. Designed a Power BI dashboard highlighting high-attrition segments; discovered employees with under 2 years tenure had noticeably higher attrition.
Netflix Churn Analysis
March 1, 2023 – May 1, 2023
Queried a Netflix user dataset using SQL to compare churn rates across subscription plans. Identified higher churn among Basic plan users; created a Tableau dashboard and proposed targeted improvements to reduce churn.
Google Cloud Professional ML Engineer
Google Cloud
June 1, 2026 – Present
Generative Al Leader
Unknown
June 1, 2026 – Present
Reinvention with Agentic Al – Accenture
Accenture
June 1, 2026 – Present
McKinsey Forward Programme
McKinsey
June 1, 2026 – Present
Data Science Specialization
Johns Hopkins, Coursera
June 1, 2026 – Present
300+ DSA solved.
Unknown
June 1, 2026 – Present
Achieved a perfect score, indicating excellent proficiency in Python 3.x and Regular Expressions, along with implied understanding of privacy protection and data anonymizers.
Strengths
Limitations
Scored 94%, indicating a very strong grasp of Data Scientist and Artificial Intelligence concepts, with only a minor area for improvement.
Cultural Fit Analysis
The candidate's project diversity (e-commerce sales, HR attrition, Netflix churn) and experience across different domains (Google Play Policy, e-commerce) suggest adaptability and a broad interest in applying data analysis to various business problems. The certifications in AI and Data Science, along with participation in programs like McKinsey Forward, indicate a proactive learning attitude and ambition, which generally aligns well with a growth-oriented culture. The full-stack developer internship, while not directly data analysis, shows a broader technical aptitude.
Soft Skills & Operational Fit
The candidate's experience at Accenture, particularly in collaborating with cross-functional stakeholders to translate requirements, indicates good communication and teamwork skills. The psychometric test score (284/500) suggests average performance in logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for further exploration during interviews. The English test score (79/100) indicates good communication clarity and professional language usage.
Strengths
Limitations