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Senior Analyst with 5+ years in SQL, Power BI & 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
Data Analyst with 4 years of IT experience at Infosys and hands-on experience in SQL, Excel, Power BI, and Python through end-to-end analytics projects involving data cleaning, EDA, dashboard creation, customer segmentation, and sales analysis. Skilled in extracting actionable insights from structured datasets.
KTU University
B.Tech · Civil Engineering
August 1, 2016 – June 30, 2020
Infosys Limited
System Engineer / Senior System Engineer
May 1, 2021 – October 1, 2025
Bengaluru, Karnataka, India
End-to-End Marketing Analytics & Customer Revenue Optimization
May 1, 2021 – June 1, 2026
Cleaned and transformed 2,240 customer records in Microsoft Excel by handling missing values, removing duplicates, and creating features such as total spend, total purchases, channel revenue, age groups, and income segments. Leveraged MySQL and Python for customer segmentation, EDA, and revenue analysis, identifying store purchases as generating ~45% of revenue and campaign response at ~15%. Built interactive Power BI dashboards using DAX measures, Power Query, KPI cards, slicers, drill-through, and tooltips to track 273K revenue, 6K orders, 557 distinct customers, and AOV of 44.96.
View ProjectSales Performance and Customer Behavior Analysis
May 1, 2021 – June 1, 2026
Processed 5,600+ customer records using SQL through missing value treatment, outlier removal, and churn feature creation. Performed SQL churn analysis using joins, CTEs, and window functions to evaluate complaint behavior, product categories, payment preferences, and delivery patterns. Discovered that 53.6% of churned customers had prior complaints and the Mobile Phone category had the highest churn rate (27.4%), helping define retention strategies.
View ProjectRetail Store Performance Analysis
May 1, 2021 – June 1, 2026
Analyzed retail performance data for 1,650 stores using Python (Pandas, NumPy, Seaborn, Matplotlib) to evaluate operational, marketing, and customer factors impacting revenue. Engineered features by creating StoreAgeGroup and SizeBand segments, and identified Product Variety (0.67) and Store Size (0.60) as the strongest drivers of monthly sales revenue. Identified 165 top-performing stores and uncovered performance gaps such as high footfall but low sales conversion, while promotions and location showed limited impact on revenue.
View ProjectAI-Driven Data Analytics
Illinois Tech | NSDC
January 1, 2026 – Present
Infosys Certified Python Programmer
Infosys Limited
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong focus on data analysis and business intelligence, which aligns well with a 'Senior Analyst' role. The diversity of projects (marketing, sales, retail performance) indicates adaptability to different business domains. However, the experience is primarily in individual project contributions, and there's limited information on team collaboration or broader organizational impact beyond specific analytical findings. The educational background in Civil Engineering followed by a career in data analytics shows a transition and self-learning capability.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach through quantifiable achievements in projects (e.g., reducing manual processing time, identifying revenue drivers). The project descriptions suggest an ability to work independently on end-to-end analytical tasks. However, there is no direct assessment of collaboration, stress handling, or communication clarity in a team setting.