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Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data Analyst with 8 months of experience as a Project Trainee, specializing in SQL-based data management, workflow automation, and LMS support. Proficient in Python, SQL, Power BI, and machine learning, with practical experience in customer churn prediction, agricultural analytics, and student performance analysis.
SCMS School of Technology and Management
Integrated Master of Computer Applications
September 1, 2020 – September 1, 2025
Greets Public School
CBSE
N/A – May 31, 2018
Greets Public School
CBSE
N/A – May 31, 2020
IBS Software
Project Trainee
May 1, 2025 – December 1, 2025
Cochin, Kerala, India
Customer Churn Prediction
January 1, 2026 – Present
Built an end-to-end churn prediction pipeline on 7,000+ telecom customer records, handling real-world data quality issues including nulls, duplicates, outliers, inconsistent categories, and wrong datatypes. Trained and compared Logistic Regression, Random Forest, and XGBoost models; selected final model based on Recall (77.5%) and AUC (84%) to minimize missed churners. Implemented SHAP explainability to identify top churn drivers — Fiber optic service, tenure, and monthly charges — providing actionable business insights. Built a 3-page interactive Power BI dashboard for business stakeholders covering churn KPIs, segment analysis by contract type and tenure, and ML feature importance.
View ProjectStudent Performance Analysis
January 1, 2026 – Present
Analyzed student dataset (2000+ records) to identify factors affecting academic performance. Performed data cleaning, transformation, and exploratory data analysis (EDA). Visualized relationships between study time, attendance, and GPA using statistical plots. Identified key insights showing impact of absences and study habits on student performance.
View ProjectAgroVision
January 1, 2025 – Present
Analyzed soil and weather datasets to identify patterns influencing crop yield and selection. Preprocessed and prepared agricultural data for model training, including handling missing values and feature selection. Built a crop recommendation system using Random Forest based on environmental parameters. Designed admin dashboard for monitoring vendor activity, sales analytics, and platform performance.
Full Stack Web Application Development
SCMS
June 1, 2026 – Present
Big Data Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis and machine learning across diverse domains (telecom, agriculture, education). The 'Project Trainee' experience, though short, shows exposure to a corporate environment. The certifications in 'Big Data Computing' and 'Full Stack Web Application Development' indicate a proactive learning attitude and a broad technical interest. The NSS Coordinator role suggests community involvement and teamwork, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems independently and present findings to stakeholders. The 'Project Trainee' role at IBS Software suggests an understanding of operational support and workflow automation, which are valuable for a data analyst role. The NSS Coordinator role implies leadership and organizational skills.