Welcome to my GitHub profile! I’m a Data Science enthusiast with a strong engineering background. Currently, I’m focused on machine learning, AI, and data analytics, with a passion for solving complex problems using data.
- 🎓 Profession: NSDC IITM Certified Master in Data Science & Google Certified Professional in Data Analytics.
- 💻 Education & Certifications:
- Graduate Engineer with a passion for Data Science.
- Six-month certification in Google Data Analytics, where I learned to collect, clean, preprocess data, and conduct Exploratory Data Analysis (EDA).
- IITM Professional Master in Data Science (offered by Guvi), where I gained hands-on experience in building machine learning models using Scikit-learn, Deep Learning, and NLP tools like TensorFlow and PyTorch.
- 📊 During my Google Data Analytics certification, I did an internship at MedTourEasy as a Data Analytics trainee. I also completed a capstone project titled "Analyze Death Age Difference Between Left-Handers and Right-Handers," where I discovered some surprising insights. You can find more details in my projects section below.
- 🌱 I'm passionate about machine learning, artificial intelligence, and applying data science/analytics techniques to real-world problems.
- ✨ I’m eager to apply my skills and knowledge in a collaborative environment at a reputed organization in the field of Data Science and Analytics.
- Statistics in Action: How Statistical Methods Use Data to Make Informed Decisions link-to-Article
Here are some of my notable projects:
- AI-Multilingual-Translater Link: A Project for a multilingual translation web app that allows users to input text in any language and automatically translates it to English.
- Dominos---Predictive-Purchase-Order-System Link: A project for optimizing the process of ordering ingredients by predicting future sales and creating a purchase order. By accurately forecasting sales.
- Microsoft-Classifying-Cybersecurity-Incidents-with-Machine-Learning Link: A project for enhancing the efficiency of Security Operation Centers (SOCs) by developing a machine learning model that can accurately predict the triage grade of cybersecurity incidents.