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Data Analyst with less than a year in Python, SQL, 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 with hands-on experience in data analysis, visualization, and predictive modelling using Python, SQL, and Power BI. Generates insights to support decision-making and improve business performance.
Sreyas Institute Of Engineering And Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – April 30, 2026
Vendor Performance Analysis & Business Intelligence Dashboard
June 1, 2026 – Present
Analyzed 50K+ vendor transaction records, uncovering insights that improved cost efficiency by 18% and identified 3 key factors driving 70% of operational inefficiencies using Python and SQL. Developed an interactive Power BI dashboard tracking vendor KPIs, revenue trends, and delivery performance, reducing reporting time by 40% and enabling 25% faster data-driven decision-making.
Telecom Customer Churn Prediction & Analysis
June 1, 2026 – Present
Processed 50K+ telecom customer records and built machine learning classification models to predict churn probability and achieved 88% model accuracy, improving churn prediction efficiency by 30% and identifying high-risk segments contributing to 65% of total churn. Performed feature engineering and statistical analysis to uncover behavioral patterns, generating insights that improved customer retention strategy effectiveness by 20% and reduced potential churn rate by 15%.
A/B Testing & Regression Analysis & Dashboard
June 1, 2026 – Present
Conducted A/B testing on 40K+ user interaction records using hypothesis testing, confidence intervals, and regression analysis identifying statistically significant improvements that increased conversion rates by 22% and optimized user engagement by 18%. Developed a dynamic Power BI reporting dashboard to visualize conversion metrics and KPI performance, reducing manual analysis time by 45% and enabling 30% faster product optimization decisions.
Yelp Business Intelligence & Customer Analytics
June 1, 2026 – Present
Leveraged 50K+ business and customer records using SQL and Python, improving engagement by 20% and identifying drivers behind 75% of high ratings. Conducted EDA and statistical analysis, boosting efficiency by 18% and increasing customer satisfaction by 15%.
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis techniques across diverse business scenarios (vendor management, telecom, e-commerce). This breadth of application suggests an inquisitive mindset and a willingness to tackle varied challenges, which could contribute positively to a dynamic team environment. The self-driven nature of personal projects aligns with a culture that values initiative. However, the lack of team-based projects or professional experience limits the assessment of collaboration and interpersonal fit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to translate data into actionable insights and quantify business impact (e.g., 'improved cost efficiency by 18%', 'reduced reporting time by 40%'). This indicates a results-oriented approach and an understanding of operational value. The focus on dashboards and reporting suggests an aptitude for clear communication of findings. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or adaptability.