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Data Analyst with 1+ years in Python, SQL & 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
Data Analyst skilled in Python, SQL, and Power BI, transforming raw data into actionable insights. Built ML and NLP projects on real-world datasets with a focus on preprocessing, feature engineering, and model performance. Focused on solving business problems using data-driven and analytical approaches.
Narayana Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Annamacharya Institute of Technology And Sciences
Bachelor of Technology · Artificial Intelligence and Machine Learning
N/A – June 30, 2025
Sanjoe English Medium High School
Secondary School Certificate
N/A – May 31, 2019
Job Prep India
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India
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Advanced Data Science Intern
June 1, 2025 – Present
India
Enhancing Liver Disease Prediction Using Random Forest in Machine Learning Strategy
January 1, 2026 – June 1, 2026
Developed a Random Forest model to predict liver disease using patient medical data. Cleaned and preprocessed data, handled missing values, and selected relevant features for training. Assessed model performance using accuracy, precision, recall, F1-score, and cross-validation.
Sentiment Analysis using Natural Language Processing
January 1, 2026 – June 1, 2026
Developed a text classification model to categorize sentiment as positive, negative, or neutral. Applied text preprocessing techniques including tokenization and stopword removal. Trained and evaluated machine learning models to improve classification performance.
Business Intelligence & Analytics
NPTEL
June 1, 2026 – Present
Data Science & Software Engineering Basics
APSCHE edX
June 1, 2026 – Present
Python Programming Certification
Udemy
June 1, 2026 – Present
Introduction to Industry 4.0 and Industrial Internet of Things
Unknown
June 1, 2026 – Present
Participation Certificate - Tech-Marathon 2k23 Technical Bootcamp
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships indicate a strong interest in data science and machine learning, aligning well with a data-centric organizational culture. Participation in team sports and aptitude competitions suggests a collaborative spirit and a drive for achievement. The diversity of certifications and projects, even if academic, shows a breadth of interest in relevant technologies.
Soft Skills & Operational Fit
The candidate demonstrates leadership through captaining a cricket team and problem-solving skills through an aptitude competition. The project descriptions are clear, indicating good communication. The academic projects and internships show a proactive approach to learning and applying technical skills, which suggests a good operational fit for a data-driven role.