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Data Analyst with less than a year in Python & 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
BCA graduate with experience as a Data Analysis Intern at Cognifyz Technologies and 5 months of structured analytics training. Proficient in Python (Pandas, NumPy, Matplotlib), SQL, Power BI, and Excel. Built dashboards uncovering insights including a 62% YoY profit decline in regional sales and a 77.42% batting-second win rate across IPL 2024 data. Open to Data Analyst opportunities.
S.E.A College of Science Commerce and Arts
Bachelor of Computer Application
August 1, 2022 – June 30, 2025
Cognifyz Technologies
Data Analysis Intern
November 1, 2025 – December 31, 2025
India
IPL Analysis Dashboard (Power BI)
June 24, 2026 – Present
Sourced IPL dataset (2008–2024) from Kaggle across 2 tables; cleaned missing values and standardised inconsistent team names to ensure data integrity. Built 7 custom DAX measures from scratch (Orange Cap, Purple Cap, Bowling Economy, Strike Rate, Tournament Winner) and delivered 8 distinct insight panels. Designed fully interactive single-page dashboard with year slicer enabling season-level drill-down into batsman and bowler performance. Identified that teams batting second win 77.42% of matches in 2024, extracting actionable insights from visual analysis.
Sales Overview Dashboard (Power BI)
June 24, 2026 – Present
Built a US regional sales dashboard analysing $7.33M in total sales across 4 regions with month-level granularity (2021-2024). Developed 15+ DAX measures including CY vs PY metrics for Sales, Profit, and Quantity, enabling Year-over-Year growth tracking with a dynamic metric toggle and geographic map visual. Tracked 51% total sales growth from 2021–2024 while identifying Central region profit declined 62% YoY in 2024 despite revenue growth — highlighting a margin efficiency problem. Flagged South region as a consistent underperformer while East region led with 65% profit growth in 2024, enabling clear regional performance benchmarking.
Cultural Fit Analysis
The candidate's engagement in personal projects (IPL Analysis, Sales Dashboard) alongside an internship and formal training indicates a strong self-starter mentality and passion for data analysis. This aligns well with a culture that values initiative and continuous learning. The diversity of projects (sports, sales, restaurant) suggests adaptability and a broad interest in applying data skills across different domains. However, the lack of team-based project descriptions or collaborative work experience makes it difficult to fully assess cultural fit regarding teamwork and stakeholder engagement.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analysis skills through personal projects and an internship. Their ability to identify key insights and present them clearly suggests good analytical thinking and communication potential. The structured training indicates a commitment to developing core data analysis competencies. However, the limited professional experience means operational fit in a fast-paced, senior environment is yet to be fully proven.