Machine Learning Portfolio

End-to-End Projects

• Quering the Documents using OpenAI API Django application to query the documents using OpenAI api with user management.

Skill-Based Projects

LLM Fine Tuning

Agentic AI

• Data Science Team - AI-Powered Data Science Crew A sophisticated multi-agent AI system built with CrewAI that automates data science workflows through collaborative AI agents. This project demonstrates how AI agents can work together to plan, execute, and deliver complete data science projects from requirements to finished Jupyter notebooks.

Machine Learning

Exploratory Data Analysis (EDA) and Data Visulization

• Wild Blueberry Yield: Exploratory analysis on the yield data of wild blueberries to create predicive model to predict the yields.

• E-commerce Clickstream Data Analysis: Data analysis and visualization using seaborn on E-commerce company's clickstream data using Mongo DB.

Regression

• Seol Bike Sharing Demand Predition: Using different regression techniques to predict the of sharing bikes.

Classification

Clustering

Time series Analysis

• Store Sales Forecasting: Forecasting the sales of a store using XGB and LGbm regressor.
• Holt and Beyond: Forecasting the Energy Consumption.

Reccomendation Systems

• Recommending Movies: Movie recommendation systems with MovieLens dataset using multiple techniques like User/Item Based Collaborative Filtering, Matrix Factorization (SVD) and Content Based Recommendation.

Deep Learning

Classification

• Gender Classification: Classifying face images as either belonging to Male(1) class or Female(0) class using Keras.

Natural Language Processing

• Tweet Sentiment Analysis: Analysing the sentiment from the tweets data to classify if a tweet is abbusive or not using different neural networs: RNN, CNN and LSTM.

Spark

Data Modeling

Certificates

• Applied Machine Learning - Beginner to Professional
• Advanced Python Programming and Software Engineering Fundamentals
• Fundamentals of Deep Learning
• Retail Demand Prediction using Machine Learning
• Structured Thinking and Communication for Data Science Professionals
• Recommender Systems with Python
• Time Series Forecasting using Python
• Fundamentals of Structured Query Language
• Google Data Analytics Certificate

Course Work

• Time Series in Depth: Notebook on how to work with Time Series data. Covering concepts from Simple Moving Average to Prophet and everything in between (Holt's, ARIMA, SARIMA and Prophet).

Kaggle Work

• Enefit - Predict Energy Behaviour of Prosumers: Energy demand/production prediction model of prosumers to reduce energy imbalance costs.
• NYC Taxi Trip Duration: Model to predict the trip duration of a taxi based on location and time of the day to handle the demand and supply.