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Data Science with less than a year 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
Final-year B.Tech Computer Science (Artificial Intelligence) student with knowledge of Python, SQL, Java, and Machine Learning concepts. Passionate about data analysis and developing data-driven solutions. Seeking an entry-level opportunity to apply technical skills, gain industry experience, and contribute to organizational growth.
Sri Venkateswara College of Engineering and Technology – Chittoor
B.Tech · Computer Science (Artificial Intelligence)
N/A – June 30, 2026
Skillbit Technologies
Data Science Internship
August 1, 2025 – September 1, 2025
India
Exploratory Data Analysis (EDA) on Iris Dataset
February 1, 2026 – March 1, 2026
Performed EDA using Pandas, Matplotlib, and Seaborn. Conducted univariate and bivariate analysis (histograms, boxplots, pairplots). Identified Petal Length and Petal Width as key features for classification. Observed linear separability of Setosa and overlap between Versicolor and Virginica.
Real-Time Social Media Analytics for Brand Monitoring
January 1, 2026 – April 1, 2026
Cleaned and preprocessed data Conducted statistical tests for decision support Developed machine learning models for prediction Collaborated on A/B tests, increased click-through
TIC TAC TOE - Second year Project
June 1, 2024 – August 1, 2024
Developed a fully functional Tic Tac Toe game using Python. Applied logical structures and modular programming concepts, enhancing programming skills.
Cultural Fit Analysis
The candidate's academic projects and internships show a clear interest in Data Science and AI, aligning with the target role. The diversity of projects (EDA, social media analytics, game development) indicates a breadth of interest, though all are academic or internship-level. The focus on learning and applying new concepts suggests a positive attitude towards growth, which is beneficial for cultural fit.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, and communication skills. Project descriptions indicate some collaboration (e.g., A/B tests) and application of logical structures. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.