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Data Analyst with less than a year in data analysis and visualization.
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 hands-on experience in data cleaning, exploratory data analysis, SQL querying, and dashboard creation. Skilled in extracting insights from datasets, identifying trends, and presenting data-driven recommendations. Proficient in Excel, SQL, Python, and visualization tools with strong analytical and problem-solving abilities.
TRAVANCORE ENGINEERING COLLEGE
B.TECH · COMPUTER SCIENCE
N/A – June 30, 2026
VVHSSN POREDOM
HIGHER SECONDARY EDUCATION · COMPUTER SCIENCE
N/A – May 31, 2022
RVVHSS VALAKOM
SSLC
N/A – May 31, 2020
Tata Group Data Analytics Job Simulation on Forage
Data Analytics Job Simulation
June 1, 2026 – Present
India
CUSTOMER SALES ANALYSIS DASHBOARD
June 1, 2026 – Present
Cleaned and transformed raw sales data using Excel and Power Query. Analyzed sales trends, customer behavior, and regional performance. Created interactive dashboards to track KPIs including revenue, profit, and growth. Provided insights to support business decision-making.
CUSTOMER RISK PREDICTION ANALYSIS
June 1, 2026 – Present
Performed exploratory data analysis to identify customer risk patterns. Used Python libraries for data cleaning and analysis. Generated insights from customer behavior data. Designed predictive modeling approach for identifying high-risk customers.
E-COMMERCE SALES ANALYSIS
June 1, 2026 – Present
Queried large datasets using SQL to extract meaningful business insights. Analyzed product performance and customer purchasing patterns. Created reports highlighting sales trends and improvement opportunities.
HOSPITAL RE-ADMISSION RISK PREDICTOR
June 1, 2026 – Present
Built an end-to-end machine learning system to predict 30-day hospital readmission risk for diabetic patients using 101,766 real patient records from 130 US hospitals.
INTRODUCTION TO SOFTWARE ENGINEERING
IBM
June 1, 2026 – Present
ADVANCES IN REMOTE SENSING DATA ANALYSIS TECHNIQUES FOR GEOLOGICAL APPLICATIONS
IIRS
June 1, 2026 – Present
SQL CERTIFICATION
INTELLIPAAT
June 1, 2026 – Present
RASPBERRY PI CERTIFICATION
FAWSTECH
June 1, 2026 – Present
The candidate scored 100% on the 'Data Scientist — Artificial Intelligence' test, indicating excellent understanding of the evaluated concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in data analysis applications, from sales and customer behavior to healthcare. The 'Tata Group Data Analytics Job Simulation' shows an interest in real-world business problems and ethical AI considerations. The breadth of skills listed (Python, Java, C, SQL, Excel, Power BI, Tableau, ML) and certifications indicate a strong drive for continuous learning and adaptability, which aligns well with a dynamic data-driven environment. However, the candidate is still pursuing a B.Tech degree, indicating limited professional experience beyond simulations and personal projects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to analyze complex data, extract insights, and present findings, which are crucial for a Data Analyst role. The psychometric test score of 359/500 indicates moderate logical reasoning, work attitude, stress handling, and team collaboration skills. The English test score of 65/100 suggests room for improvement in communication clarity and professional language usage, which is important for presenting data-driven insights.