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Data Science with 1+ years 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
MSc Data Science and Analytics graduate with strong knowledge of Data Analysis, Machine Learning, Statistical Modeling, and Data Visualization. Proficient in Python, SQL, Power BI, Tableau, and Excel. Experienced in Exploratory Data Analysis (EDA), data preprocessing, predictive modeling, and dashboard development through academic projects. Skilled in transforming data into actionable insights to support business decision-making. Seeking an entry-level Data Analyst or Data Science role.
Mahatma Gandhi University, Kottayam
MSc Data Science and Analytics · Data Science and Analytics
August 1, 2023 – June 30, 2025
St. George's College, Aruvithura
BSc Mathematics · Mathematics
August 1, 2018 – June 30, 2021
Personal Finance Management System
January 1, 2025 – Present
Designed and developed a Personal Finance Management System to monitor income, expenses, and savings. Analyzed real-world financial datasets to identify spending patterns and trends. Implemented a machine learning model to forecast future expenses and improve financial planning. Built a web application using HTML, CSS, and Flask for user interaction and data management. Created interactive visualizations to present insights and support data-driven decision-making.
Amazon Sales Dashboard
January 1, 2024 – December 31, 2024
Developed an interactive Tableau dashboard to analyze Amazon sales performance across India. Created filters, charts, and KPI visualizations to monitor sales trends and business metrics. Generated actionable insights to support data-driven business decisions.
Bank Customer Churn Prediction
January 1, 2024 – December 31, 2024
Built a machine learning model to predict customer churn in the banking sector. Performed Exploratory Data Analysis (EDA) and data preprocessing to improve data quality. Implemented and evaluated multiple classification algorithms, with Random Forest achieving the best performance.
Email Spam Detection
January 1, 2024 – December 31, 2024
Built a Naive Bayes model to classify emails as spam or non-spam. Used CountVectorizer for text feature extraction.
TCS National Qualifier Test (TCS NQT) Cognitive
TCS
March 1, 2026 – Present
IBM SkillsBuild Artificial Intelligence Internship
CSRBOX
August 1, 2024 – September 1, 2024
Python for Data Science
NPTEL
July 1, 2024 – August 1, 2024
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Data Science, aligning well with a target role in this field. The diversity of projects (finance, churn prediction, sales dashboard, spam detection) shows a breadth of application areas. The academic nature of all projects suggests a learning-oriented individual, but also indicates a lack of real-world industry experience, which might require more mentorship in a professional setting. The listed certifications further support a proactive learning attitude.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Communication, Teamwork, and Time Management as soft skills. The project descriptions indicate an ability to work through problems and present findings, which aligns with problem-solving and communication. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.