Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data Analyst who improved dataset completeness from 75% to 95% across 3 projects during an 8-month internship at Pyspiders, Bengaluru, building SQL and Python pipelines and Power BI dashboards that informed real-time business decisions across HR, retail, and sports analytics. Proficient in EDA, KPI development, and data storytelling. Seeking entry-level Data Analyst, Business Analyst, or Power BI Developer roles.
Nehru Institute of Technology
B.E. · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Pyspiders
Data Analyst Intern
July 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
HR Attrition Analysis
June 1, 2026 – Present
Conducted EDA on 49,000+ employee records to identify attrition drivers: department, salary band, job role, and years at company. Engineered features using Pandas/NumPy: encoded categorical variables, computed segment attrition rates (Sales: 20.6% vs R&D: 13.8%), and validated key predictors (overtime, job satisfaction, distance from home) via correlation heatmap and chi-square testing. Developed a Power BI executive dashboard with KPIs (Overall Attrition Rate, Avg Tenure, Dept-wise Headcount) to guide HR retention interventions, replacing 3 static Excel reports.
View ProjectIPL Data Analysis
June 1, 2026 – Present
Engineered an end-to-end analytics dashboard on 7+ seasons of IPL ball-by-ball data (200,000+ records) using Python (Pandas) for ETL and Power BI for visualization. Developed 10+ DAX measures enabling season-over-season performance comparison across 200,000+ IPL records. Applied Power Query for data transformation: column merging, conditional columns, and relationship modeling across 3 relational tables with drill-through filters and dynamic slicers for team, player, and match-level exploration. Designed a star schema data model with fact and dimension tables to optimize query performance and filter propagation.
View ProjectGlobal Superstore Sales Analysis
June 1, 2026 – Present
Analyzed 50,000+ retail transaction records using Python and SQL to uncover sales, profit, customer, and regional performance insights. Built an interactive Power BI dashboard using 17 SQL business queries plus a responsive HTML/CSS/JavaScript web dashboard (Chart.js, Leaflet.js), reducing analysis time by 60% through automated KPI tracking and dynamic filtering.
View ProjectData Analysis and Visualization
Coursera
June 1, 2026 – Present
Data Analyst Training & Certification
Pyspiders
February 1, 2026 – Present
IBM Watson Studio: ML Model Development & Cognitive AI
IBM SkillsBuild
January 1, 2024 – Present
Achieved a perfect score of 100% on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating complete proficiency in Power BI concepts and application.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity (HR, IPL, Global Superstore) and the range of technologies used (Python, SQL, Power BI, HTML/CSS/JS) indicate a broad interest in data analysis applications and a willingness to learn new tools. The internship experience at Pyspiders and certifications from IBM and Coursera show a proactive approach to skill development. The target role of Data Analyst aligns well with the candidate's demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate's experience in presenting analysis findings to cross-functional stakeholders suggests good communication and collaboration skills. The ability to improve dataset completeness from 75% to 95% across projects indicates a detail-oriented and problem-solving approach. The psychometric test score of 306/500 suggests average performance in logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for further exploration.