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Data Analyst with less than a year 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 Machine Learning focused on solving real-world problems using data-driven solutions.
SASTRA Deemed University
Electronics and Communication Engineering (ECE) · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Mullai Hr. Sec School
12th Std · State Board of Tamil Nadu
June 1, 2018 – May 31, 2020
Mullai Hr. Sec School
10th Std · State Board of Tamil Nadu
N/A – May 31, 2018
The Academic Awards Data Science
April 1, 2025 – Present
Explored the Academy Awards dataset (1927-2015) to analyze historical trends, winners, categories, and nominee distributions. Preprocessed categorical data using LabelEncoder and scaled features with StandardScaler to improve model accuracy. Used Python libraries such as Pandas/Numpy for data manipulation and Matplotlib/Seaborn for data visualization. Designed Random Forest Classifier to predict Oscar winners using features like year, award type, nominee, and film. Conducted K-Means Clustering to group similar nominees and uncover hidden patterns in nomination trends. Employed multiple machine learning algorithms to handle classification and clustering tasks. Visualized results through bar plots, confusion matrices, and the Elbow Method to assess model performance and clustering efficiency. Evaluated model accuracy, selected the optimal cluster for unsupervised learning, and interpreted visual outputs to deliver clear, actionable insights.
Project Excellence Certificate
LMES Academy
April 1, 2025 – Present
Diploma in Data Science and Machine Learning
LMES Academy
October 1, 2024 – April 1, 2025
Cultural Fit Analysis
The candidate's academic project and certifications indicate a strong interest in data science and machine learning, aligning with a data-driven culture. The 'Project Excellence Certificate' suggests an ability to present work effectively, which is beneficial for team collaboration and stakeholder communication. The breadth of skills listed (Python, SQL, PowerBI, various ML algorithms) shows a willingness to learn and adapt, which is positive for cultural fit in a dynamic environment. However, the lack of professional experience means there's no direct evidence of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate lists analytical skills, problem-solving, excellent communication, adaptability, and teamwork as soft skills. The project description indicates an ability to work through a data science pipeline from exploration to model evaluation, suggesting a structured approach to problem-solving. However, without direct evidence from interviews or peer feedback, these remain self-reported.