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Data Science with less than a year in Machine Learning & Data 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
Aspiring data scientist with a strong foundation in engineering principles and a passion for leveraging data-driven insights to solve real-world problems. Proficient in machine learning, statistical analysis, and data visualization, with hands-on experience in Python, R, and SQL. Seeking an opportunity to apply analytical skills.
Teerthanker Mahaveer University
Computer Science · Data Science
August 1, 2022 – June 30, 2026
Ashish Memorial Public School
PCM
June 1, 2021 – May 31, 2022
Code Alpha
Data Analytics
July 1, 2025 – August 31, 2025
India
Intrainz Innovation
Data Science Engineering Intern
July 1, 2024 – September 30, 2024
India
Sleep Pattern Detection and Dream Mood Prediction
August 1, 2025 – June 30, 2026
Designed a model to detect sleep and dream patterns using physiological data. Predicted dream mood using machine learning based on sleep stage analysis.
Exploratory Data Analysis (EDA)
July 1, 2025 – August 31, 2025
Identifying trends, patterns, and anomalies. Testing hypotheses and validating assumptions with statistics and visuals.
View ProjectData Analytics
Code Alpha
August 1, 2025 – Present
Data Scientist
Intrainz Innovation
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show an interest in data science and analytics, aligning with the target role. The diversity of projects (EDA, sleep pattern detection) indicates a breadth of interest within the field. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's resume indicates an ability to work on projects and internships, suggesting a foundational level of operational fit. However, without specific psychometric or English test scores, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.