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 analyzing 97K+ operational records, building Power BI dashboards with 20+ DAX measures, and delivering SQL-based customer segmentation across 10K+ banking records. Skilled in Python, MySQL, and Power BI with a track record of turning messy, real-world datasets into actionable business insights.
Malla Reddy Institute of Technology and Science
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
YHills Ltd.
Artificial Intelligence Intern
June 1, 2023 – July 1, 2023
Noida, Uttar Pradesh, India
Bank CRM & Customer Churn Analysis
June 1, 2026 – Present
Developed 4 interactive Power BI dashboards analyzing 10K+ banking customer records to identify churn patterns, customer segmentation, retention risks, and customer behavior trends. Built 20+ DAX measures and KPIs including Churn Rate (20.37%), Active Customers, Retention Metrics, and Credit Score Analysis using advanced visuals such as Key Influencers, Decomposition Tree, KPI Cards, and Dynamic Slicers. Performed SQL-based data analysis using Joins, Aggregations, Window Functions, and Subqueries while applying Power Query transformations, data modeling, and dashboard storytelling to generate actionable business insights.
View ProjectChinook Music Store SQL Analysis
June 1, 2026 – Present
Analyzed 11+ relational tables with 1,000+ NULL values, inconsistent records, and unstructured customer data requiring data cleaning and data quality improvements. Built customer segmentation, churn analysis, and customer lifetime value (CLV) modeling; identified 22 churned customers and created risk profiles for 59 customers across 24 countries. Delivered analytics-driven recommendations for 3 albums by identifying Rock genre at 53.38% of USA revenue through sales performance analysis, trend analysis, and product affinity analysis.
View ProjectIT Support Ticket Analysis
June 1, 2026 – Present
Examined 13+ KPIs across a multi-sheet IT ticketing dataset with missing values, inconsistent data, and unstructured agent performance metrics using Microsoft Excel, Pivot Tables, VLOOKUP, and conditional formulas. Built an interactive BI dashboard with dynamic slicers, KPI metrics, time-series analysis, correlation analysis, and data visualization charts to monitor ticket resolution time, SLA metrics, and agent performance. Provided actionable, data-driven recommendations on workforce optimization and resource allocation using descriptive statistics and trend analysis; enabled management to make informed investment decisions across 4+ ticket categories.
View ProjectData Analytics Virtual Job Simulation
Forage × Deloitte
January 1, 2026 – January 1, 2026
Data Analyst Phase Certification
Newton School × NSDC
January 1, 2026 – January 1, 2026
Python Certification
Cisco
January 1, 2024 – January 1, 2024
Artificial Intelligence Certification
YHILLS
January 1, 2023 – January 1, 2023
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like banking CRM, IT support, and retail, indicating adaptability and a broad interest in applying data analysis across different industries. The certifications from Deloitte and Newton School suggest a proactive approach to skill development and alignment with industry best practices. However, the lack of collaborative project descriptions or team-based achievements makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into business-readable insights and provide actionable recommendations, suggesting good communication and problem-solving skills. The academic background and certifications align with a structured approach to learning and development. However, the limited professional experience means operational fit in a fast-paced, senior-level environment is yet to be fully proven.