Adwaid P

Adwaid P profile photo

About Me

I am a passionate MCA student interested in artificial intelligence, web development, and creative coding. I love building clean, impactful, and interactive web applications that solve real problems.

  • Machine Learning
  • Computer Vision
  • Frontend Development
  • Python Engineering

Education

Aug 2025 - Present

Master of Computer Applications (MCA)

LEAD College Autonomous

Focused on data science, web technologies, and advanced algorithms.

2021 - 2024

Bachelor of Computer Applications

College of Applied Science, Calicut

Graduated with distinction, with strong foundations in programming and database management.

Certifications

Career Essentials in Generative AI

Issuer: LinkedIn Learning

Credential: ACF9C3C07C9E1040B1614A8F11854184...

View Certificate

Python for Data Science, AI & Development

Issuer: IBM (via Coursera)

Credential: CE145JCG37ZF

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Tools for Data Science

Issuer: IBM (via Coursera)

Credential: WGR7Y79WISX1

View Certificate

What is Data Science?

Issuer: IBM (via Coursera)

Credential: 2YGB8C3SQ0F5

View Certificate

Data Science Methodology

Issuer: IBM (via Coursera)

Credential: 5NGYC8CALY61

View Certificate

Skills

Python

92%

Used as the primary language across forecasting, IPL analytics, and recommendation system projects.

Data Science & Analytics

88%

Strengthened through IBM certification track and hands-on project workflows from data cleaning to insight generation.

Machine Learning & AI

84%

Applied in IPL price prediction and music recommendation models with feature engineering and tuning.

Time Series Forecasting

85%

Built forecasting pipelines using ARIMA and Prophet for demand prediction with MAE/RMSE evaluation.

Data Visualization

82%

Used Matplotlib and Seaborn to present model behavior, pricing trends, and forecasting insights clearly.

Web Development

80%

Developed portfolio and privacy-focused web apps using HTML, CSS, JavaScript, and responsive UX principles.

Featured Projects

Demand Forecasting System using Time Series AI

Data Science Project

Developed an end-to-end demand forecasting system to predict future sales using ARIMA and Prophet models.

  • Conducted time series analysis to identify trends, seasonality, and anomalies
  • Engineered lag features and rolling averages to improve performance
  • Evaluated models using MAE and RMSE metrics
Python, ARIMA, Prophet, Time Series, Forecasting
View on GitHub View Case Study

AI-Powered IPL Auction Analysis & Price Prediction System

Data Science / Machine Learning Project

Built a machine learning system to analyze IPL auction data, identify pricing patterns, and predict player valuations.

  • Performed EDA on player pricing trends and team spending patterns
  • Engineered predictive features for modeling
  • Visualized insights using Matplotlib and Seaborn
Python, EDA, Machine Learning, Matplotlib, Seaborn
View on GitHub View Case Study

BeatBuff - AI-Based Music Recommendation System

Data Science / AI Project

Built a recommendation system that analyzes user preferences and audio features to deliver personalized song suggestions.

  • Processed music datasets and extracted relevant audio features
  • Implemented similarity-based recommendation algorithms
  • Improved recommendation accuracy through model tuning
Python, Recommendation Systems, AI, Data Science
View on GitHub View Case Study

Assent - Privacy-Focused Photo Sharing Web Application

Academic Project

Developed a privacy-focused web application enabling controlled photo sharing with identity-based access.

  • Designed secure authentication and access control workflows
  • Applied data-driven logic for identity-based content visibility
Web App, Authentication, Access Control, Privacy
View on GitHub View Case Study

Credit Risk Modelling System

Machine Learning / FinTech Project

Built a deployed credit risk platform that predicts borrower default probability, quantifies expected loss, and stress-tests entire loan portfolios.

  • Single Borrower engine computing PD & EL from financial inputs in real time
  • Portfolio stress-testing dashboard with PD multiplier simulation on a $41.6M book
  • Dynamic-programming FICO bucketing using log-likelihood optimisation
Python, Scikit-learn, Logistic Regression, Dynamic Programming, Plotly, Streamlit
Live Demo View on GitHub View Case Study

Credit Risk Modelling System

Machine Learning / FinTech Project

Built a deployed credit risk platform that predicts borrower default probability, quantifies expected loss, and stress-tests entire loan portfolios.

  • Single Borrower engine computing PD & EL from financial inputs in real time
  • Portfolio stress-testing dashboard with PD multiplier simulation on a $41.6M book
  • Dynamic-programming FICO bucketing using log-likelihood optimisation
Python, Scikit-learn, Logistic Regression, Dynamic Programming, Plotly, Streamlit
Live Demo View on GitHub View Case Study
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Contact Me