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Data Analyst with less than a year in data analysis, visualization, and 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
Enthusiastic and detail-oriented Data Analyst with practical experience in data analysis, visualization, and machine learning projects. Skilled in SQL, Excel, Python, Power BI, and Tableau for extracting insights and creating meaningful reports. Known for strong communication and presentation skills, enabling effective collaboration with team members and clear explanation of analytical findings. Eager to apply data-driven thinking and continuous learning in a professional analytics environment.
Indira Gandhi National Open University
MA English · English
N/A – Present
Luminar Technolab
Data Science Intern
January 1, 2026 – Present
India
Used Car Price Prediction System
June 18, 2026 – Present
Developed a machine learning model to predict used car prices. Performed feature engineering and data preprocessing. Built an interactive Streamlit web application for real-time price prediction.
Microsoft Data Analysis and Visualization with Power BI
Unknown
June 1, 2026 – Present
IBM Excel for Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a personal project on car price prediction and an internship covering various data science tasks, indicates a proactive and curious mindset. The stated interest in continuous learning aligns well with a growth-oriented culture. However, the academic background in English, while demonstrating strong communication potential, is not directly aligned with a technical data analyst role, which might require additional technical depth.
Soft Skills & Operational Fit
The candidate's profile summary highlights strong communication and presentation skills, along with an eagerness for continuous learning and collaboration. These traits suggest a good operational fit for team-oriented data analysis roles.