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Data Analyst with less than a year 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
Results-driven Data Analyst with hands-on experience in Python, SQL, Power BI, and Advanced Excel. Delivered two end-to-end analytics solutions processing 3,000+ records each encompassing data pipeline development, EDA, KPI dashboard design, and geo-visualisations. Proven ability to translate complex datasets into actionable business intelligence that informs strategic decision-making and drives measurable outcomes.
IITM - IP University
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2024 – June 1, 2027
Mobile Sales Data Analysis
June 1, 2026 – June 1, 2026
Executed end-to-end analysis on a 3,000+ record mobile sales dataset; identified top 3 brands contributing ~65% of total revenue, delivering targeted strategic recommendations to optimise portfolio focus. Engineered a data cleaning pipeline (null handling, data type optimisation) to ensure analysis-ready datasets, significantly reducing inconsistencies and improving output reliability. Designed and deployed an interactive Power BI dashboard featuring KPI cards, dynamic filters, and geo-visualisations; surfaced that online payment methods accounted for 72% of transactions, directly informing channel strategy. Generated actionable insights on customer satisfaction trends and payment preferences, enabling evidence-based marketing and product decisions.
View ProjectMyntra Sales Dashboard
June 1, 2026 – June 1, 2026
Architected a comprehensive Power BI reporting solution tracking retail performance across categories, brands, and 20+ states consolidating data into a single source of truth and eliminating manual reporting overhead. Quantified revenue concentration: top 5 states accounted for 60%+ of total sales volume; findings presented as a performance benchmarking framework for regional strategy. Conducted time-series trend analysis across monthly and yearly cycles; identified peak demand seasons and underperforming sub-categories, enabling targeted discount optimisation to protect margins. Implemented dynamic, self-serve dashboards with multi-dimensional filters (Year, Category, Brand, Sub-category) and geo-visualisations, empowering non-technical stakeholders with direct data access.
View ProjectData Analytics
Ducat
June 1, 2025 – August 1, 2025
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills. The involvement in a placement cell shows leadership and teamwork potential. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment. The current education timeline (ending 2027) suggests this candidate is very early in their career, which might impact immediate cultural integration into a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Stakeholder Communication, Cross-functional Collaboration, Leadership, Relationship Building, and Analytical Problem-Solving, which are crucial for a Data Analyst role. The experience as a Student Coordinator also suggests developing professional communication and stakeholder management skills. These indicate a good operational fit for collaborative environments.