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Name: Heemali Chaudhari

Type: User

Company: Capgemini

Bio: I am an EXTC Engineer. While my foundation lies in engineering, my passion lies in Data Analysis. Skills: Microsoft Excel, MySQL, Power BI, Tableau & Python.

Location: Mumbai

šŸ’« About Me:

šŸ‘‹ Hi, Iā€™m Heemali Chaudhari
šŸ‘€ Iā€™m interested in Machine Learning, Data Analytics & Deep Learning.
šŸŒ± Iā€™m currently working on projects related to data analytics.
šŸ“« How to reach me? You can contact me on any of the socials listed below.

šŸŒ Socials:

Instagram LinkedIn Medium Quora Twitter

šŸ‘€ Profile Views

šŸ’» Tech Stack:

Python R AWS MySQL Canva Keras NumPy Pandas PyTorch scikit-learn TensorFlow Plotly SciPy !

šŸ“Š GitHub Stats:

GitHub Streak

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Heemali Chaudhari's Projects

access-based-system icon access-based-system

The main aim of this project is to give safety at every commonplace like home, public places. This user would give a known password. The information will be stored in a database. When the correct passcode is entered, the microcontroller will give instructions to the DC motor. DC motor will perform the action on door unlocking.

brain-tumour-detection-using-deep-learning icon brain-tumour-detection-using-deep-learning

Brain is the regulatory unit in the human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. Many health organizations have recognized brain tumor as the second foremost dispute that causes a large number of human deaths all around the world. Identification of brain tumor at a premature stage offers an opportunity of effective medical treatment. There are various techniques to detect brain tumors or neoplasms. Brain tumor is the growth of abnormal cells in the brain some of which may lead to cancer. The usual method to detect brain tumors is Magnetic Resonance Imaging (MRI) scans. From the MRI images information about the abnormal tissue growth in the brain is identified. When these algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher accuracy helps in providing the treatment to the patients. Here, in our proposed work we detect the brain tumor with the help of deep learning algorithms. These predictions made using DL also helps the radiologist in making quick decisions.

everything-about-python icon everything-about-python

The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

health-status-bracelet icon health-status-bracelet

The prevalence of heart diseases around all over the world has been growing rapidly and the ECG equipment used in hospitals for heart health checkups is costly and it is not always possible to visit a doctor. Health status bracelet is developed in such a way that the patient can do a heart health checkup at home itself as heart patients are required to keep a record of their health. So, our prototype is a system that functions to give fast detection of the possibility of pulmonary restrictions.

plant-leaf-disease-detection- icon plant-leaf-disease-detection-

The economy makes the most difference in how productive agriculture is. Because of the aforementioned factor, plant diseases are more prevalent in the agricultural sector and are easier to diagnose. Detecting plant diseases in broad and diverse fields crops is becoming more and more scrutinized these days. Farmers experience major difficulties when switching from one disease management strategy to another when cutting their crops. The typical method for detection is to be able to recognise or spot leaf diseases for surveillance and monitoring professionals. If the appropriate control measures aren't performed, the plants suffer severely, which affects both the productivity and quality of the plants. The adoption of a technological approach or technique for disease detection is effective and beneficial since it lessens the burdensome work of surveillance in the vast cultivation. We can identify plant disease symptoms in the early stages even before they manifest on a plant's leaves. We can determine the technique for picture segmentation and automatic classification utilized for the detection of illnesses of leaves in plants by utilizing an artificial neural network. Additionally, it discusses various disease classification techniques used to find plant diseases.

tableau-visualizations icon tableau-visualizations

Explore my intriguing Tableau visualizations. Crafting interactive visuals & intuitive dashboards to simplify complex data.

the-intern-academy icon the-intern-academy

This repository contains the work done by me as a Data Science and Machine Learning intern for The Intern Academy.

the-spark-foundation-internship-tasks icon the-spark-foundation-internship-tasks

I was Data Science & Business Analytics intern at The Sparks Foundation under Graduate Rotational Internship Program. And these are the files of my tasks performed during the internship.

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