Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in data cleaning, analysis, and visualization using Python, SQL, and Power BI. Skilled in Exploratory Data Analysis (EDA), dashboard development, and generating actionable insights to support data-driven decision-making. Possess a basic understanding of machine learning concepts and a strong interest in solving real-world problems using data.
Career Preparation
Higher Studies & Skill Development
August 1, 2023 – June 30, 2025
Mahatma Gandhi University
BCA · Computer Applications
August 1, 2020 – June 30, 2023
Luminar Technolab
Data Science Intern
May 1, 2025 – January 1, 2026
Cochin, Kerala, India
Skill Retention Score Prediction for Employee Training
June 1, 2026 – Present
Designed a machine learning solution to predict skill retention based on factors such as training type, learning style, motivation, attendance, and mentorship quality. Cleaned, visualized, encoded, and engineered features to improve data quality and model performance. Built and evaluated Linear Regression and Random Forest models to identify key factors influencing retention and deliver actionable insights for improving training effectiveness.
Real-Time Pose Accuracy Evaluation System
June 1, 2026 – Present
Built a computer vision application using Python, OpenCV, and MediaPipe to capture a reference pose and evaluate human pose accuracy from live webcam input. Implemented landmark-based pose matching, accuracy scoring, hand-position validation, and threshold-based visual feedback for real-time assessment.
E-Commerce Sales & Customer Retention Analysis
June 1, 2026 – Present
Developed an interactive Power BI dashboard analyzing 500+ sales records to identify customer trends and generate actionable insights. Created DAX measures such as Total Sales, Profit, and Average Order Value. Analyzed trends across 500+ transactions to identify customer patterns. Converted raw data into meaningful visual insights for decision-making.
Career Essentials in Data Analysis
Microsoft & LinkedIn
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse data analysis and machine learning techniques, including computer vision. The certifications in Generative AI and Data Analysis from Microsoft & LinkedIn show a commitment to continuous learning and staying current with industry trends. The blend of academic background, internship experience, and personal projects indicates a motivated individual who can adapt to various technical challenges. The experience level is entry-level, which might require mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's resume highlights preparation for higher studies which included strengthening communication, analytical thinking, and problem-solving skills. Project descriptions indicate an ability to translate raw data into actionable insights, suggesting good analytical and problem-solving capabilities. The focus on data-driven decision-making aligns well with operational needs for a Data Analyst role.