Data Analyst with 4+ years in SQL, Python, & 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
Aspiring Data Analyst with practical knowledge of the end-to-end data pipeline from data extraction and transformation using SQL and Python, to visualization and storytelling with Power BI and Excel. Experienced with Databricks for scalable data workflows. Looking to apply analytical thinking and technical skills to deliver business value from day one.
College of Engineering and Technology, Bikaner
B.Tech · Electrical Engineering
August 1, 2015 – June 30, 2019
Shri Krishna Academy, Bikaner
Computer Teacher
April 1, 2021 – March 1, 2025
Bīkaner, Rajasthan, India
PhonePe Digital Payments Analysis
June 1, 2026 – Present
Extracted and validated 19,500+ transaction records across 5 datasets (36 states, 723 districts), performing end-to-end data cleaning and integrity checks. Detected 3x variation in average transaction value between states flagging material outliers through structured data investigation. Segmented transaction data by geography and volume to surface top-performing regions, applying cohort analysis across a large population dataset.
Retail Analytics Project
June 1, 2026 – Present
Analyzed 5,000+ transactions across 1,000 customers ($1.2M revenue) using Advanced SQL; cleaned categorical variables and resolved missing values to ensure data integrity. Segmented customers into High, Medium, and Low value tiers using CASE statements; identified Clothing as top revenue driver at 55% ($669K). Applied SQL LAG window function for month-on-month variance analysis to track revenue growth trends across time periods.
India CPI Inflation Analysis
June 1, 2026 – Present
Analyzed pre- and post-COVID CPI dataset to identify inflation trends across broader consumer categories; determined the highest-contributing category using structured Excel-based aggregation. Identified the year with peak inflation rate through time-series analysis and evaluated month-on-month price changes to isolate the single largest contributor driving CPI movement. Assessed the impact of COVID-19 onset on India's inflation by comparing pre- and post-pandemic periods, surfacing significant shifts in price behavior across categories. Investigated correlation between imported crude oil price fluctuations and CPI inflation trends, providing evidence-based findings on external price transmission into domestic inflation. Tracked investment trends within the broader food category over time, identifying seasonal and structural pricing patterns using Pivot Tables and Excel functions.
Data Analytics
Coding Ninjas
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a strong initiative in self-learning and applying data analysis techniques to diverse real-world scenarios (digital payments, retail, economic inflation). This indicates a proactive and curious mindset. The certification from Coding Ninjas further supports a commitment to continuous learning. While the professional experience is not directly in data analysis, the transferable skills and project diversity suggest a good fit for a role that values self-starters and practical application of skills. However, the lack of team-based projects or collaborative work experience in the data domain might require additional assessment for cultural fit in a highly collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, attention to detail, and problem-solving skills through project descriptions. The experience as a Computer Teacher suggests an ability to communicate technical concepts and manage operational tasks, which could translate to stakeholder communication and project management in a data analyst role. However, direct experience in a corporate data analyst setting is limited.