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Data Analyst with less than a year in SQL, Python, 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
Results-driven data analyst with hands-on experience in SQL, Python, Power BI, and Excel, specializing in building interactive dashboards, performing cohort and trend analyses, and translating complex datasets into actionable business insights. Adept at cleaning and modeling large-scale data, defining KPIs, and presenting data-backed recommendations to cross-functional stakeholders. Seeking to leverage strong analytical and problem-solving skills in a data analyst or product analyst role.
Karpagam College of Engineering
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Shri Ram Vidhyalaya Matriculation Higher Secondary School
HSC
June 1, 2020 – May 31, 2021
Hilton Matriculation Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
Sales Forecasting & Trend Analysis
June 1, 2026 – Present
• Analyzed 3 years of historical sales data using SQL (GROUP BY, aggregate functions, CASE statements) to identify seasonal trends, growth patterns, and anomalies. • Built an interactive Power BI dashboard analyzing 3 years of sales data, enabling leadership to monitor growth KPIs (MoM revenue, customer acquisition rate, AOV) in real time. • Applied moving-average and exponential-smoothing forecasting techniques in Power BI to predict next-quarter sales with 90%+ directional accuracy. • Delivered a presentation to business stakeholders summarizing key insights and actionable recommendations, leading to improved inventory planning.
Customer Segmentation & Cohort Analysis
June 1, 2026 – Present
• Performed RFM (Recency, Frequency, Monetary) analysis on 100K+ customer records using Python and Pandas to segment customers into actionable tiers. • Built monthly retention cohort tables and heatmaps in Matplotlib to visualize user drop-off and identify the critical D7-D30 engagement window. • Wrote SQL queries with window functions (LAG, LEAD, RANK) to compute churn rates and customer lifetime value (LTV) across segments. • Presented findings to the product team, recommending personalized re-engagement campaigns that projected a 12% improvement in 30-day retention.
Retail Sales Performance Dashboard
June 1, 2026 – Present
• Designed and deployed an interactive Power BI dashboard analyzing sales performance across 5 regions and 12 product categories, enabling stakeholders to drill down into granular performance metrics. • Used SQL Server to import and transform data using queries like filtering, grouping, and aggregation. • Created bar charts, line charts, pie charts, and KPI cards to surface trends such as top-performing regions, best-selling products, and seasonal revenue patterns. • Identified a 15% revenue decline in an underperforming region and recommended targeted promotional campaigns, contributing to data-driven marketing decisions.
Presented a technical paper on data-driven decision-making at Dr. NGP College
Dr. NGP College
June 1, 2026 – Present
Self-studied Python for Data Science and advanced SQL through online platforms (Kaggle, LeetCode, YouTube) to supplement academic coursework
Kaggle, LeetCode, YouTube
June 1, 2026 – Present
Completed multiple SQL and data analytics coding challenges on HackerRank and SkillRack
HackerRank and SkillRack
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong alignment with a Data Analyst role, focusing on business-centric data problems. The diversity of projects (sales, customer behavior) indicates adaptability. The self-study and participation in coding challenges suggest a proactive learning mindset, which is a positive cultural fit for growth-oriented teams. However, the lack of professional experience means cultural fit is primarily inferred from personal initiative.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project descriptions and the ability to prepare reports and presentations for stakeholders. The self-study and challenge completion indicate a proactive and self-driven work attitude. However, without psychometric test results, a full assessment of stress handling and team collaboration is not possible.