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Data Analyst with less than a year in SQL, Python, and Excel for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level data analyst with a solid background in SQL, Python, and Excel, enthusiastic about turning raw data into actionable business insights. Demonstrated track record of building interactive dashboards, optimizing database queries, and automating reporting processes. Quick learner with strong analytical thinking and problem-solving abilities, eager to contribute to data-driven decision-making. Open to full-time, contract, or internship positions in business intelligence and analytics.
Govt Arts College (Autonomous)
Bachelor of Science · Electronics
August 1, 2021 – June 30, 2025
Customer Segmentation Analysis
January 1, 2025 – December 31, 2025
Cleaned and processed a customer dataset of 5,000+ records using Python (Pandas) to remove duplicates and handle missing values. Wrote optimized SQL queries to extract customer demographics and purchase behaviour data from a relational database. Performed RFM (Recency, Frequency, Monetary) analysis to segment customers into 4 distinct groups for targeted marketing. Created visualizations using Matplotlib and Seaborn to effectively communicate findings to stakeholders.
Quantium Data Analytics Virtual Experience
January 1, 2025 – December 31, 2025
Completed a job simulation focused on Data Analytics and Commercial Insights for a data science team. Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations. Identified benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making. Created comprehensive reports for the Category Manager using the Pyramid Principle framework, facilitating informed strategic decisions.
Python Full Stack Development
Unknown
June 1, 2026 – Present
MS Office (Word, Excel, PowerPoint)
Unknown
June 1, 2026 – Present
Power BI for advanced data visualization and business intelligence
Unknown
June 1, 2026 – Present
Quantium Data Analytics Virtual Experience Program on Forage
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and virtual experience program show a clear alignment with data analytics roles. Their proactive approach to continuous learning and certifications (Power BI, Python Full Stack) indicates a growth mindset. The diversity of projects, though academic, covers key aspects of data analysis, suggesting adaptability and a willingness to explore different facets of the field. However, the lack of professional experience means their ability to navigate real-world team dynamics and corporate culture is yet to be proven.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving abilities, and attention to detail, which are crucial for a Data Analyst role. Their experience in communicating findings to stakeholders and creating comprehensive reports using frameworks like the Pyramid Principle suggests good operational fit for delivering actionable insights. The candidate is an entry-level professional, indicating a need for structured guidance and mentorship in a professional setting.