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shreeparab1890/README.md

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Hi, I'm Shrikrishna Parab!

I am a Data-Driven, Passionate Data Scientist and Machine Learning Enthusiast

Data has always fascinated me. My passion for uncovering insights and answering complex questions with the help of data has led me to the field of Data Science.

I earned a Diploma in Electronics and Communication in 2010, and subsequently completed a Bachelor of Engineering (BE) in Information Technology in 2013 and worked as a PHP developer. Afterward, I achieved a Master of Technology (MTech) degree in Computer Science in 2016, with a specialization in Natural Language Processing (NLP). I also gained valuable experience in Deep Learning, NLP and Information Retrieval by completing an internship under the mentorship of Dr. Pushpak Bhattacharyya at the Center for Indian Languages and Technology at IIT Bombay.

Motivated by my passion for tackling new and challenging problems, I founded an IT startup in the service sector in 2016. My startup focused on assisting various businesses in the tourism industry to scale their operations using cutting-edge technologies and innovative solutions. In my role as a founder, I was responsible for handling end-to-end projects for clients, utilizing various new technologies as per their requirements. This included everything from project management, coding, and documentation throughout the entire project lifecycle.

After shouldering the responsibilities of a founder and honing my skills as a Full-Stack Developer(MERN Stack, Django) for five years in my startup with many ups and downs, my passion for data science has drawn me back to the field. I am excited to apply my experience and skills to analyze and interpret complex data, uncover valuable insights and develop data-driven solutions.

  • 👉 I’m interested in Data Science, Data Analysis, Machine Learning, Deep Learning, Natural Laguage Processing and Web Development
  • 🔨 I'm currently working on some interesting Natural Laguage Processing and a predictive analysis project.
  • 🌱 I'm currenly also learning Google Cloud Platform (GCP).
  • 🤝 I’m open to collaborating on usefull applications which will solve some real life problems.
  • 💻 As a proffesional I aspire to make things that improve lives, so feel free to contact me if that's your goal as well.

Things I use:

My Skills

📫 How to reach me (right click for new window):

LinkedInLogo Medium Kaggle Facebook Instagram

You can also visit my webiste at: shikrishnaparab.in

  • Visit my profile
  • Read my page
  • Go and enjoy the rest of your day! 🤜🤛

Pinned Loading

  1. Fifa-WC-2022-Qatar-Data-Analysis-EDA Fifa-WC-2022-Qatar-Data-Analysis-EDA Public

    This is a Jupyter Notebook( iPython Notebook) with Data Analysis (EDA) on FIFA WC Qatar 2022 match data.

    Jupyter Notebook 7 1

  2. Gender-prediction-based-on-Name-LSTM Gender-prediction-based-on-Name-LSTM Public

    this ipython notebook is working to build a model which will predict the gender based on the names.

    Jupyter Notebook 2

  3. Real-Estate-House-Price-Predictor Real-Estate-House-Price-Predictor Public

    This ipython notebook is working to build a model which will predict the house price based on some features, identify the features that affects the house’s price and carry out evaluation matrices.

    Jupyter Notebook

  4. Heart-Attack-Analysis-Prediction-Accuracy-85.24 Heart-Attack-Analysis-Prediction-Accuracy-85.24 Public

    This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analys…

    Jupyter Notebook

  5. Texti-Text-Utility Texti-Text-Utility Public

    This is a React-based web application hosted on netlify that provides a variety of text manipulation tools for users.

    JavaScript

  6. NewsOnGo NewsOnGo Public

    This is a React-based news portal that utilizes functional components to keep users informed of current events. The app utilizes the newsdata.io API to fetch news articles and display them on the app.

    JavaScript