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Data Science with less than a year in data analysis & machine learning.
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
CUSTOMER SALES ANALYSIS DASHBOARD
June 19, 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 19, 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 19, 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 19, 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
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with data science and analytics roles, focusing on practical applications like sales analysis, customer risk prediction, and healthcare outcomes. The diversity of projects (e-commerce, healthcare, customer behavior) shows a broad interest in applying data science across different domains. The certifications and courses indicate a proactive approach to learning and skill development, which is a positive cultural indicator. However, the lack of team-based projects or professional experience makes it challenging to assess collaboration and interpersonal skills fully.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to analyze complex data, identify trends, and present data-driven recommendations, suggesting strong analytical and problem-solving skills. The 'Tata Group Data Analytics Job Simulation' implies exposure to real-world data challenges and ethical AI considerations. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration abilities.