Data is the raw material of the 21st century. It can be used to solve problems, make decisions, and create new products and services.
I find data fascinating because it is a way to understand the world around us. Data can be used to answer questions, make predictions, and solve problems. It can also be used to create new products and services.
I am also fascinated by the way that data is constantly changing. As we collect more data, we can learn more about the world and make better decisions. This is why I am so excited about the future of data science. I believe that data science has the potential to change the world for the better. Thats how I got attracted towards data world. I am currently working as a Machine Learning Intern at iNeuron Intelligence.
I have a strong foundation in data science fundamentals, including machine learning, statistics, and data mining. I am also proficient in programming languages, Like Python and SQL. Apart from the skills related to data capture, analysis & presentation, I possess good problem solving skills.
I am a highly motivated and results-oriented individual and I am also a team player. I am eager to start my career in data science and I am confident that I can make a significant contribution to any organisation I am going to work for. Along with Machine learning, I believe in Quick learning as and when needed.
- 🔭 I'm currently working as a Data Science Intern at iNeuron Intelligence.
- 🌱 I'm currently working on Data Science, Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
- 👯 I'm looking to collaborate on Data Science-related Projects.
- 💬 Talk to me about Python, Machine Learning, SQL, Freelancing Opportunities, Open Source, NLP, Deep Learning, Statistics, Mathematics.
- 😄 Words that describe me: Self-motivated, Focused, Extreme Hardworking & Curious.
- 👨💻 Completed iNeuron Full Stack Data Science Bootcamp Certificate.
- ⚡ Fun fact: I am an Ex-Startup owner.
#!/usr/bin/python
# -*- coding: utf-8 -*-
class DataScientist:
def __init__(self):
self.name = "Matindra"
self.role = "Data Scientist"
self.language_spoken = ["hi_IN", "en_US"]
def say_hi(self):
print("Thanks for dropping by, hope you find some of my work interesting.")
me = DataScientist()
me.say_hi()-
The insurance premium prediction project aims to develop a model that accurately estimates insurance premiums based on historical data. It involves analyzing factors such as policyholder information and claims history to predict future premiums, enabling insurance companies to make informed pricing decisions.
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United States Office of Foreign Labor Certification (OFLC) gives job certification applications for employers seeking to bring foreign workers into the United States and grants certifications. This model is to check if Visa get approved or denied based on the given dataset. This can be used to recommend a suitable profile for the applicants for whom the visa should be certified or denied based on the certain criteria which influences the decision.
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This project focuses on developing a predictive model that can accurately assess and forecast passenger satisfaction levels. By integrating machine learning algorithms with airline data, the project aims to provide airlines with valuable insights to make informed decisions and improve their services to meet and exceed customer expectations.
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The Student Performance Indicator project focuses on developing a system or metric to evaluate and measure the academic performance and progress of students. It involves analyzing various factors such as grades, attendance, test scores, and other relevant data to provide insights into student achievements and identify areas for improvement.
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The main objective of the dataset is to classify people earning <=50k or >50k based on several explanatory factors affecting the income of a person like Age, Occupation, Education, etc.
📊 GitHub Stats:
