Jan 2026

Medical Assistant

Course: Natural Language Processing with Generative AI

As an AI specialist, your task is to develop a RAG-based AI solution using renowned medical manuals to address healthcare challenges. The objective is to understand information overload, apply AI techniques to streamline decision-making, analyze its impact on diagnostics and patient outcomes, evaluate its potential to standardize care practices, and create a functional prototype demonstrating its feasibility and effectiveness.

Skills & Tools Covered
  • RAG

  • LLM

  • Prompt Engineering

  • Data Preprocessing

Dec 2025

ReneWind

Course: Introduction to Neural Networks

The project aims to create and improve classification models for ReneWind's wind turbine generator failures, enabling proactive maintenance and cost reduction. The models use sensor data to identify potential failures, minimizing false negatives and ensuring turbine repairs before breakdown. The final models are chosen based on their ability to accurately predict failures, providing insights and recommendations to improve maintenance strategies and cost efficiency in wind energy production.

Skills & Tools Covered
  • EDA

  • Data Preprocessing

  • Classification

  • Activation Function

  • Neural Network

Nov 2025

EasyVisa

Course: Advanced Machine Learning

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Skills & Tools Covered
  • EDA

  • Data Pre-Processing

  • Bagging Classifier

  • Boosting Classifier

  • Stacking Classifier

  • Hyperparameter Tuning

  • Business Insights

Sep 2025

Personal Loan Campaign

Course: Machine Learning

To identify bank customers with a high likelihood of purchasing a loan, you need to analyze the provided data to understand key customer attributes influencing loan acquisition. With this analysis, build a predictive model that captures patterns and customer characteristics, which will help the bank effectively target potential loan buyers, improving marketing efforts and increasing conversion rates.

Skills & Tools Covered
  • EDA

  • Data pre-processing

  • Model building - Decision Tree

  • Model Performance Evaluation and Improvement

  • Business Recommendations

Aug 2025

FoodHub

Course: Python Foundations

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

Skills & Tools Covered
  • python

  • Numpy

  • Pandas

  • Seaborn

  • Exploratory Data Analysis

  • Business recommendations

  • Bivariate Analysis

  • Univariate Analysis