adu3010,AdityaTheAnalyst,github

Hi there 👋 Meet Aditya Gadkari

Hi 👋🏽 I'm a data enthusiast who loves to uncover insights from complex datasets. I have a strong background in Python programming and data visualization tools like PowerBI and Excel.

🌱 I'm currently upskilling in advanced data analytics techniques and machine learning algorithms.

💻 I'm proficient in Python, PowerBI, Excel, SQL, and data wrangling/cleaning techniques. 📊 Experienced in conducting exploratory data analysis, building interactive dashboards, and communicating insights effectively.

🔍 I'm passionate about leveraging data to drive informed decision-making and solve real-world problems.

👯 I'm actively seeking opportunities in the field of Data Analytics and open to collaborating on exciting data-driven projects.

🎯 Goal: To secure an entry-level Data Analyst role and contribute to data-driven solutions that drive business growth. ⚡ Fun fact: I enjoy participating in data science competitions and hackathons to sharpen my skills.

Areas of Expertise:

1.Data Cleaning and Preprocessing

2.Exploratory Data Analysis (EDA)

3.Data Visualization (PowerBI, Matplotlib, Seaborn)

4.SQL Querying

5.Machine Learning (Supervised and Unsupervised)

Let's connect and discuss how I can contribute to your organization's data analytics needs!

🔭 I’m currently working on ... 'Speech Denoising in Event-Based Neural Networks
📫 How to reach me: ... https://www.linkedin.com/in/adityagadkari/

AdityaTheAnalyst's Projects

color-pattern-recognition-software

Automated MATLAB software for recognizing color patterns in images, inspired by Lego's Life of George game, with a success rate of up to 91%.

genetic-algorithm-based-evolution-of-hippocampal-memory-models-with-hopfield-networks

We explore the use of Genetic Algorithms (GAs) to evolve Hippocampal Memory Circuits modelled using Hopfield Networks. The hippocampus, a critical brain region for memory formation and retrieval, serves as inspiration for our computational model.

machine-unlearning

This project demonstrates the concept of machine unlearning using the MNIST handwritten digits dataset. The goal is to train a neural network to recognize digits, then selectively "unlearn" a specific digit, and finally retrain the model to recover its performance.

power-bi

Visualizing Employee Data using Power BI

red-wine-quality-prediction

Getting into the 🍷 spirits 😉 with my latest machine learning project predicting red wine quality! 🍇 I compared three different regression models - Linear Regression 📏, Decision Tree 🌳, and Random Forest 🌲 to see which performed best at predicting wine quality on a dataset of red wines 🍷.