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Data with less than a year in Python & Data Visualization
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a strong foundation in statistics, data analysis, and visualization. Experienced in cleaning and exploring datasets, identifying patterns, and communicating insights through dashboards and reports. Skilled in SQL, Python, and BI tools to support data-driven decision making across domains such as healthcare, telecom, and social media.
Brototype
Data Science and AI/ML Program · Data Science and AI/ML
September 1, 2024 – January 1, 2026
Sree Krishnapuram VT Bhattathirippad College
MSc · Mathematics with Data Science
August 1, 2022 – June 30, 2024
SVPK Arts and Science College
BSc · Mathematics
August 1, 2019 – June 30, 2022
Telco Customer Churn Analysis
June 16, 2026 – June 1, 2026
Analyzed customer data to identify key factors contributing to churn, including contract type, tenure, and service usage. Performed data cleaning and exploratory analysis to uncover patterns in customer behavior. Used feature importance techniques to highlight critical churn drivers and support retention strategies. Built a simple predictive model to validate findings and improve understanding of churn risk.
View ProjectUsed Car Price Analysis
June 16, 2026 – June 1, 2026
Conducted exploratory data analysis on used car listings to understand pricing trends. Identified key factors influencing resale value such as age, fuel type, and mileage. Cleaned and transformed data to improve consistency and usability for analysis. Built a regression model to support price estimation and validate analytical insights.
View ProjectAquaSure - Water Quality Analysis
June 16, 2026 – June 1, 2026
Cleaned and preprocessed water quality data by handling missing values and detecting outliers. Performed exploratory analysis to understand relationships between chemical properties and water safety. Visualized distributions and correlations to support interpretation of water quality indicators. Built a classification model to validate insights on potability prediction.
View ProjectClimaDerm - Health Trend Analysis Dashboard
June 16, 2026 – June 1, 2026
Analyzed publicly available climate and health datasets, performing data cleaning and feature engineering to uncover relationships between weather conditions and disease occurrence. Built interactive Tableau dashboards to visualize trends and support data-driven insights. Performed feature engineering and statistical analysis to improve interpretability of results. Developed a predictive model to complement analysis and validate observed patterns.
View ProjectTwitter Sentiment Analysis
June 16, 2026 – June 1, 2026
Cleaned and processed social media text data for analysis. Analyzed sentiment distribution to identify trends in user opinions. Extracted features using TF-IDF and performed classification to support sentiment insights.
View ProjectHeart Disease Data Analysis
June 16, 2026 – June 1, 2026
Explored healthcare dataset to identify risk factors associated with heart disease. Performed feature engineering and statistical analysis to understand key indicators. Built a classification model to support early risk identification.
View ProjectIntro to Programming
Kaggle
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and foundational skill set in data analysis, aligning well with a 'Data' target role. The diversity of projects (churn analysis, car pricing, water quality, health trends, sentiment analysis, heart disease) indicates a broad curiosity and adaptability to different problem domains. The educational background in Mathematics with Data Science further strengthens this fit. However, the lack of professional experience and reliance on personal projects might indicate a need for mentorship and structured team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify patterns, communicate insights, and support data-driven decision-making. The focus on project-based learning suggests a practical, hands-on approach. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.