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Data Analyst with less than a year in Data Analytics, ETL & Data Visualization using SQL, Python, an
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Salesforce Certified Agentforce Specialist and ECE graduate specializing in Data Analytics and Business Intelligence. Skilled in ETL pipelines, EDA on large datasets, and dashboards using Tableau, Power BI, and Looker Studio. Proficient in SQL, Python, and Google BigQuery with a strong foundation in data governance and stakeholder reporting.
TKR College of Engineering and Technology
B.Tech · Electronics & Communication Engineering
October 31, 2024 – June 3, 2026
BLINKIT REAL-TIME DEMAND ANALYTICS
June 17, 2026 – Present
Built ETL pipelines in Python and SQL to clean and load 10,000+ order records into BigQuery, cutting data prep time by ~40%. Developed Looker Studio dashboards tracking revenue and demand KPIs, reducing manual reporting by ~30%. Identified peak demand windows via statistical analysis to support inventory optimization.
CREDIT CARD FRAUD DETECTION
June 17, 2026 – Present
Performed EDA on 280,000+ transactions; engineered features to identify 5+ distinct fraud clusters. Built Tableau dashboards visualizing fraud trends and risk segments for real-time stakeholder monitoring. Applied end-to-end data validation ensuring full dataset integrity across the analysis pipeline.
SUPERSTORE SALES ANALYSIS
June 17, 2026 – Present
Cleaned and standardized 10,000+ retail records using Python and SQL, improving reporting reliability. Built Tableau dashboards surfacing revenue KPIs; identified top 3 underperforming categories for inventory reallocation. Automated data cleaning workflows, reducing manual preparation time by ~25%.
Data Analytics Job Simulation
Deloitte
February 1, 2026 – February 1, 2026
Salesforce Certified Agentforce Specialist
Salesforce
December 1, 2025 – December 1, 2025
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analytics skills, which aligns with a culture of continuous improvement. The diversity of projects (e-commerce demand, financial fraud, retail sales) shows adaptability and a broad interest in data applications. However, the lack of professional experience and a lower psychometric test score might indicate a need for mentorship in a team environment.
Soft Skills & Operational Fit
The candidate's psychometric test score (254/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score (75/100) indicates generally good communication clarity, which is positive for operational fit. Project descriptions highlight problem-solving and efficiency improvements (e.g., cutting data prep time, reducing manual reporting), indicating a results-oriented approach.