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Data Analyst with 1+ years in Python, SQL & Power BI
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 Executive with hands-on experience in transforming complex datasets into actionable business insights using Python, SQL, Power BI, and advanced Excel. Proven ability to automate reporting, build interactive dashboards, and track KPIs to support data-driven decision-making. Strong foundation in data science, statistics and business analytics, with a track record of collaborating with stakeholders to improve operational efficiency and drive measurable business outcomes.
Great Learning, Gurgaon
Post Graduation Program · Data Science and Engineering
August 1, 2025 – Present
University of Delhi
Bachelor of Arts (B.A.) · Economic Honours
August 1, 2024 – Present
Satyug Darshan Vidyalaya
Higher Secondary Certificate (HSC)
June 1, 2021 – Present
Blackboard E-learning Private Limited (College Vidya)
Data Analytics Executive
July 1, 2025 – Present
India
Country Data Segmentation
June 1, 2026 – June 1, 2026
Clustered countries based on socio-economic and health indicators, enabling HELP International to strategically allocate $10M in aid and prioritize nations in greatest need.
In-game Player Engagement
June 1, 2026 – June 1, 2026
Developed a predictive model to classify player engagement (low, medium, high), identifying at-risk segments to boost retention, optimize monetization, and improve game design for long-term value.
Blinkit Sales Analysis
June 1, 2026 – June 1, 2026
Analyzed Blinkit sales (~11M total, ₹2.2K per sale) to identify key drivers-Dairy & Breakfast, Orai—and evaluate customer satisfaction (3.34 rating), supporting targeted business strategy.
SQL (Basic)
HackerRank
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
Business Analytics with Excel
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills, from player engagement to socio-economic segmentation and sales analysis. The current role as a Data Analytics Executive aligns well with the target role. The academic projects, while relevant, are not industry-specific, which is typical for an entry-level candidate. The breadth of skills listed (Python, SQL, Power BI, Excel, various ML algorithms) indicates a willingness to learn and adapt, which is positive for cultural fit. However, the experience level is relatively low, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's experience description highlights collaboration with stakeholders and translating needs into strategies, indicating good communication and problem-solving skills. The automation of reporting suggests an efficiency-driven mindset. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.