Associate Data Analyst with less than a year in SQL, Python, Excel, and 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 Analyst fresher with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
Thapar University, Patiala
B.Tech. · Computer Engineering
August 1, 2021 – June 30, 2025
Customer Churn Analysis
June 18, 2026 – Present
Processed and validated 7,043 customer records ensuring accuracy and consistency across analytical workflows. Maintained structured datasets and documentation supporting business reporting requirements. Generated 11 visualizations (histograms, box plots, heatmaps) to highlight churn-prone segments. Performed trend analysis and generated reports to identify customer retention opportunities. Improved data quality through feature engineering and standardization of customer records.
Business 360 Analytics
June 18, 2026 – Present
Designed dashboards across Sales, Finance, Marketing, and Supply Chain using multi-source data. Performed pricing, revenue, and unit economics analysis to identify growth opportunities. Built automated reporting workflows integrating SQL and Excel datasets. Optimized dashboards using DAX improving performance by 5%. Delivered insights projecting 10% revenue growth and 20% cost reduction.
Sales Performance Dashboard
June 18, 2026 – Present
Analyzing 1,000 customer records using Pivot Tables, Slicers, and Charts to identify key drivers of bike purchase behavior for stakeholder decision-making. Identified commute distance as the strongest predictor of purchase conversion, customers traveling 0–1 miles converted at 54.6% vs. 29.7% for 10+ mile commuters. Uncovered a 15.5% regional performance gap between Pacific (58.9%) and North America (43.3%). Bachelor's degrees drove the highest conversion rates at 54.6%, enabling precise audience targeting. Bike purchase rate converted at 61.1% vs. 35.6%, directly informing sales channel prioritization, reducing manual reporting effort for non-technical stakeholders.
Excel Certification- OneRoadmap (2025)
OneRoadmap
January 1, 2025 – Present
Data Analysis Certification- OneRoadmap (2025)
OneRoadmap
January 1, 2025 – Present
Python Certification- OneRoadmap (2025)
OneRoadmap
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across various business functions (Sales, Finance, Marketing, Supply Chain). The certifications further indicate a commitment to skill development. The target role of 'Associate Data Analyst' aligns well with the candidate's current skill set and academic background. However, the lack of professional experience means cultural fit in a corporate environment is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured analytical tasks, focusing on process improvement and delivering actionable insights. The academic nature of projects suggests a learning-oriented individual, but real-world operational experience is currently lacking. The focus on reducing manual reporting effort and improving data quality points to an understanding of operational efficiency.