Data Analyst with 2+ years in data analysis, machine learning & predictive modeling
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Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in data analysis, machine learning, and predictive modeling. Skilled in Python, SQL, exploratory data analysis (EDA), feature engineering, and data visualization. Experienced in building multi-class classification models, evaluating model performance, and translating complex datasets into actionable business insights
University of Calicut
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2022 – June 30, 2025
Data Science
Internship Program, Data Science Intern
July 1, 2022 – March 1, 2025
Kozhikode, Kerala, India
AI-Driven Advertisement Display Platform
March 1, 2025 – June 1, 2026
Developed a data-driven ad recommendation system analyzing 10,000+ demographic records from CSV datasets to generate targeted ad insights. Implemented automation and analytics pipelines using Python and Django, improving recommendation accuracy by 30% and update time by 40%. Designed a responsive, interactive dashboard UI enabling real-time campaign performance tracking and data filtering. Integrated AI-based decision logic to dynamically select and prioritize ads based on demographic and engagement trends. Demonstrates large-scale data processing, intelligent automation, and scalable backend architecture.
Employee Performance Analysis & Prediction
March 1, 2025 – June 1, 2026
Analyzed employee performance data to identify key factors influencing productivity. Conducted exploratory data analysis, correlation analysis, and feature importance evaluation. Built a multi-class Random Forest classification model to predict employee performance ratings. Compared multiple models and selected the final model based on macro-averaged evaluation metrics. Achieved approximately 92% accuracy with balanced macro F1-score. Delivered data-driven business recommendations to support HR decision-making.
View ProjectSales Lead Prediction
March 1, 2025 – June 1, 2026
Performed data cleaning, feature selection, and exploratory data analysis on sales datasets. Built predictive models to identify high-potential leads using machine learning techniques. Evaluated models using accuracy, precision, recall, and F1-score. Documented end-to-end analysis following industry-style project methodology.
View ProjectBusiness Intelligence Specialization
Google Business Intelligence Professional Certificate
June 1, 2026 – Present
Certified Data Science
International Association of Business Analytics Certification (IABAC)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science concepts, including an AI-driven platform and performance prediction. The certifications in Business Intelligence and Data Science indicate a commitment to continuous learning and professional development. The diversity of projects (sales, HR, advertising) suggests adaptability and a broad interest in applying data analysis to different domains, which aligns with a dynamic work environment. However, the experience is primarily personal projects and an internship, which limits the assessment of fit within a corporate culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems independently and deliver business-focused insights. The mention of documenting end-to-end analysis suggests an organized approach. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a collaborative setting cannot be fully evaluated.