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Data Analyst with less than a year in data-driven problem solving and business intelligence.
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Assessing your cultural and operational fit
Highly motivated Data Analyst with 11 months of experience in leveraging Python, SQL, and Power BI for end-to-end data analysis. Proficient in identifying patterns, developing interactive dashboards, and producing actionable insights to drive data-driven decision making. Eager to apply analytical thinking and problem-solving skills to real-world business challenges.
Ramaiah Institute of Technology
Bachelor of Engineering · Mechanical Engineering
N/A – Present
Amazon
Customer Service Representative
July 1, 2025 – January 1, 2026
India
Retail Customer Behaviour & Shopping Trends Analysis
June 24, 2026 – Present
Performed end-to-end data wrangling and exploratory data analysis (EDA) on 3,900+ retail records using Python (Pandas, NumPy) to uncover customer purchasing patterns and business insights. Executed 10+ SQL queries for business intelligence (BI) reporting covering revenue trends, seasonal demand analysis, and customer segmentation, improving stakeholder visibility. Developed an interactive Power BI dashboard with DAX measures and KPI cards enabling data-driven decision making — reducing manual reporting effort by 40%. Documented complete end-to-end analytics workflow and published on GitHub demonstrating real-world data pipeline and reporting skills.
View ProjectBanking Customer Analytics Churn & Loan Default Analysis
June 24, 2026 – Present
Analyzed banking customer dataset using Python (Pandas, Seaborn) to identify churn patterns, loan default trends, and transaction behavior across customer segments. Loaded and structured raw banking data into MySQL; wrote complex SQL queries to extract segment-wise business insights including branch performance and high-risk customer identification. Conducted EDA covering customer demographics, account balance distribution, product usage, and default rate correlation — uncovering actionable patterns for risk management. Built an interactive Power BI dashboard visualizing churn rate, loan default KPIs, and branch-level performance metrics for business stakeholder decision making.
View Project8 Weeks Data Analytics Specialization Training
Trainity
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering banking and retail analytics, shows adaptability and a broad interest in applying data skills across different domains. The focus on delivering actionable insights and improving business processes aligns well with a data-driven culture. While the experience is primarily project-based and from a customer service role, the underlying skills and problem-solving approach suggest a good cultural fit for a role that values data-informed decision-making and continuous improvement. The certification further solidifies their commitment to the data analytics field.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving abilities, and attention to detail, as evidenced by their project work and customer service experience at Amazon. Their ability to maintain high customer satisfaction scores through data-driven problem-solving and root cause analysis, coupled with experience in collaborating with cross-functional teams, indicates good operational fit and stakeholder communication skills. The documentation of analytics workflows on GitHub also suggests a structured and transparent approach to work.