- Software engineer with 4 years of total experience in IT
- Pursuing Master's in Computer Science with specialization in Big Data Science from Queen Mary University of London
- Pursued Post Graduate Program in Data Science and Business Analytics at Great Learning in collaboration with University of Texas at Austin
- As a certified data scientist with a strong background in statistical analysis and data visualization, I have hands-on experience in building end-to-end applications leveraging machine learning. My passion for problem-solving and my ability to think critically have helped me excel in data-driven projects, including winning 2 hackathons.
- Languages: Python, C++, Java, HTML, CSS
- Frameworks: Flask, Restful API, Hadoop, MapReduce, Bootstrap, XSLT, Streamlit, Explainable AI, TensorFlow, PyTorch, Numpy, Pandas, Scikit-Learn
- Databases: MySQL, MS SQL Server, MongoDB, Azure SQL Database
- Statistical Methods: Hypothesis Testing, AB Testing, ANOVA, Chi-Square Test, Principal Component Analysis
- Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest, Clustering, KNN, Artificial Neural Networks, Deep Learning, Time Series Analysis, Market Basket Analysis, Credit Risk Modelling, Natural Language Processing (NLP), Large Language Models, Speech Recognition, Modelling, Recommender Systems
- Others: Tableau, Power BI, Docker, Linux, Git, Github, Advanced Excel, XML, Agile, Postman, KNIME
- Certifications: AZ-900 Azure Fundamentals
- Domain Specific Knowledge: Insurance (Commercial Property, Commercial General Liability, Commercial Home and Travel), RFM Analysis, Market Basket Analysis, Credit Risk Analysis, Market Mix Modelling
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent