Help & Supportcareers@gravityer.com
Data Science with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An ambitious data scientist with strong foundations in Machine Learning, Data Analytics, and Predictive Modeling. Skilled in Python, statistics, and data visualization, with hands-on experience in developing ML models using real-world datasets. Passionate about turning data into actionable insights and building deployable, data-driven solutions.
Kerala University
M.Sc. Data Science · Data Science
August 1, 2024 – June 30, 2026
MES Mampad College, Calicut University
B.Sc. Mathematics · Mathematics
August 1, 2021 – June 30, 2024
EMOR GHSS Palad
Higher Secondary Education
June 1, 2019 – May 31, 2021
CKHS Manimooly
Secondary Education
June 1, 2018 – May 31, 2019
Rainfall Prediction using Random Forest
January 1, 2025 – January 1, 2025
Developed a predictive model to determine whether it will rain tomorrow using today's weather data(145,460 records, 23 attributes). Applied data preprocessing techniques, one-hot encoding, and SMOTE to address class imbalance. Trained and evaluated multiple models; achieved highest accuracy of 84.39% using Random Forest.
Cyberbullying Detection in YouTube Comments
January 1, 2025 – January 1, 2025
Developed a machine learning pipeline to classify bullying and non-bullying YouTube comments using 1,000+ samples collected via the YouTube Data API. Performed NLP preprocessing including tokenization, stop-word removal, and TF-IDF vectorization. Trained and evaluated SVM, Logistic Regression, and Naïve Bayes models using accuracy, precision, recall, and F1-score to identify the best-performing model.
Data Visualisation: Empowering Business with Effective Insights
Forage
January 1, 2025 – Present
Data Analytics Job Simulation
Forage
January 1, 2025 – Present
Introduction to Data Science Job Simulation
Forage
January 1, 2025 – Present
Data Visualization With Power BI
Great Learning Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of data science, which aligns with a results-oriented culture. The certifications in data visualization and analytics simulations indicate a proactive approach to learning and skill development. The breadth of skills and tools listed suggests adaptability. However, the lack of professional experience makes it challenging to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a strong interest in data-driven solutions and a passion for turning data into actionable insights. The academic projects demonstrate initiative and problem-solving skills. However, without specific work experience or psychometric test results, it is difficult to assess operational fit, stress handling, or team collaboration abilities.