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Data Science with 1+ years in Python, SQL & Machine Learning
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Assessing your cultural and operational fit
Aspiring and highly analytical Data Scientist with foundational experience in Python, MySQL, and end-to-end machine learning pipelines. Proficient in transforming complex structured datasets into actionable business insights using Pandas, NumPy, and predictive modeling frameworks. Adept at building interactive data visualizations, automated data processing workflows, and responsive analytical dashboards to drive data-informed decision-making.
Kannur University
Bachelor of Computer Science · Computer Science
January 1, 2022 – January 1, 2025
Techolas Technologies Pvt Ltd
DATA SCIENCE INTERN
January 1, 2025 – Present
Kozhikode, Kerala, India
Airline Passenger Satisfaction Prediction
June 17, 2026 – Present
Developed a machine learning web application to analyze flight experiences and predict passenger satisfaction ("Satisfied" vs. "Neutral/Dissatisfied") using a dataset of over 25,000 records. Cleaned and preprocessed 22 operational and demographic features using standard scaling and label encoding. Trained and optimized multiple classification models, including Random Forests and XGBoost, via GridSearchCV to achieve a peak accuracy of 95.1%. Successfully deployed the finalized model using Joblib and Streamlit to create an interactive web dashboard for real-time customer experience forecasting.
Prime Video Data Analysis
June 17, 2026 – Present
This project analyzes the Prime Video dataset using Power BI to show how its content has evolved over time. The interactive dashboard tracks trends in movies versus TV shows, top genres, age ratings, and content growth. It transforms raw data into clean visuals to help understand audience preferences and content strategies.
Job Salary Data Analysis
June 17, 2026 – Present
This project analyzes global salary data using Tableau to understand what drives employee compensation. The dashboard visualizes how salaries change based on job titles, experience levels, geographic locations, and company sizes. It provides clear, data-driven insights into current job market trends and earning potential.
CRISIS CONNECT
October 1, 2024 – March 1, 2025
CRISIS Connect is a web platform for real-time crisis support, using HTML, CSS, and JavaScript for a responsive front-end, with Python and Django powering the back-end for secure data management, user authentication, and dynamic content delivery.
Python Django Development
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a focus on practical application of data science concepts, which indicates a results-oriented mindset. The diversity of projects (web platform, ML prediction, data analysis with different BI tools) suggests an openness to various challenges and learning new technologies. However, all projects are academic, and the internship is current, limiting insight into long-term professional collaboration and adaptability in a corporate culture beyond a structured internship.
Soft Skills & Operational Fit
The candidate lists teamwork, communication, problem-solving, adaptability, critical thinking, and time management as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The project descriptions suggest an ability to work on structured tasks and deliver defined outcomes, which aligns with operational fit for entry-level data science roles.