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Data Scientist with less than a year in Machine Learning & Data Visualization.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a solid foundation in statistics, machine learning, and data visualization, with a careful and methodical approach to analysis. I work confidently with Python and SQL to examine data and draw practical conclusions. My goal is to apply my technical knowledge and logical thinking to address real-world business challenges and support better decisions.
Sri Sai Vignan Bharathi junior college
Intermediate (MCA) · MCA
N/A – June 30, 2022
Sri Sai Vignan Bharathi degree college
Bachelors of Science (computer's) · Computer Science
N/A – June 30, 2025
Airlines Flight Data Analysis
June 1, 2026 – Present
This study focuses on identifying significant patterns and trends influencing airline ticket pricing and flight operation schedules. By analyzing features such as airline, class type, flight duration, number of stops, source and destination cities, and days remaining until departure, the project aims to uncover strategic insights into flight operations and fare structures. The airline flight dataset contains 12 features with a total of 300152 records.
View ProjectExploratory Data Analysis
June 1, 2026 – Present
I have done a project with a movies dataset where I will clean the data with different libraries Numpy, pandas etc.
Registration Page using Stream Lit
June 1, 2026 – Present
I have done a registration page using stream lit as UI and MYSQL as database using python as backend.
View ProjectRDBMS
MEDHA EDU TECH
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in data science and analysis, aligning with the target role. The mention of a hackathon achievement indicates a competitive spirit and ability to work under pressure. The breadth of skills listed (Python, SQL, various ML/DL frameworks, data visualization) suggests a willingness to explore different technologies. However, the lack of professional experience and limited project diversity (all academic) means cultural fit is primarily based on potential and stated attributes rather than demonstrated workplace behavior.
Soft Skills & Operational Fit
The candidate highlights being eager to learn, having good analytical and problem-solving skills, and being a team player with effective communication. These traits suggest a positive operational fit, especially in a learning-oriented environment. However, without professional experience, the practical application of these soft skills in a corporate setting is unproven.