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Data Analyst with 1+ years in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, and Power BI, specializing in customer segmentation, KPI dashboards, and data-driven business insights. Proven ability to clean large datasets, design RFM-based segmentation models, and build interactive dashboards that translate raw data into actionable recommendations. Background in consumer-facing operations brings strong business context and stakeholder communication skills to data analysis work. Proficient across SQL, Power BI, Excel (Pivot Tables, Power Query, VLOOKUP), and Python (Pandas, NumPy), with a track record of presenting findings clearly to non-technical stakeholders.
DAVV University, IPS Academy, Indore
Bachelor of Business Administration (BBA)
August 1, 2021 – June 30, 2024
Sunrise Mahavidyalaya, M.P.
Higher Secondary School
June 1, 2020 – May 31, 2021
GCM Convent School, M.P.
Secondary School
June 1, 2018 – May 31, 2019
WNS Global Services
Senior Associate
July 1, 2024 – August 1, 2025
Indore, Madhya Pradesh, India
Blinkit Customer Retention & Re-Engagement Strategy
June 21, 2026 – Present
Segmented 10,000+ customer records using SQL (joins, aggregate functions, CTEs) into 8 RFM-based personas to uncover behavioral patterns across recency, frequency, and monetary value. Identified 1,250 at-risk customers representing ₹2.7L in revenue at risk; built a Power BI dashboard tracking retention, purchase frequency, and AOV by segment. Designed a segment-specific re-engagement campaign brief projecting 15% reactivation and ₹4.05L in recovered revenue.
Campaign Performance Dashboard
June 21, 2026 – Present
Cleaned and structured multi-source marketing datasets using SQL and Excel (Power Query) to build a unified data model for campaign and KPI tracking. Built an interactive Power BI dashboard visualizing website traffic, social media engagement, and conversion rates, enabling faster performance monitoring for stakeholders.
Consumer Behaviour & Trend Analysis - Sportswear Category
June 21, 2026 – Present
Conducted competitive benchmarking of major sportswear brands across pricing, positioning, and digital marketing approach using secondary research. Translated consumer sentiment and trend findings into a structured strategy deck (PowerPoint/Canva) with channel and messaging recommendations.
Cultural Fit Analysis
The candidate's projects show a strong interest in customer behavior, marketing analytics, and business strategy, which aligns well with a data-driven culture. The diversity of projects (customer retention, campaign performance, consumer trends) indicates a broad interest in applying data analysis to different business problems. However, the limited professional experience and academic background (BBA) might require additional mentorship in a highly technical data science environment. The candidate's profile suggests a proactive learner, which is a positive cultural attribute.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and presentation skills through project descriptions. Their experience as a Subject Matter Expert (SME) at WNS Global Services suggests an ability to mentor and contribute to quality improvement initiatives, indicating good operational fit and potential for cross-functional collaboration. The focus on stakeholder reporting aligns well with typical data analyst responsibilities.