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About Me in 30 Secs

  • 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.

Got more time ⏰? Checkout my Projects 😄

💡 Core Competencies 💡

  • 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

📚 Projects

🙌🏻 Connect with Me

Languages and Tools:

aws azure bootstrap cplusplus css3 docker figma flask gcp git hadoop heroku html5 kubernetes linux mongodb mssql mysql nginx pandas photoshop postman python pytorch scikit_learn seaborn sqlite tensorflow

mp-balaji

 mp-balaji

Balaji M P's Projects

atliqo-telecom-anlaysis icon atliqo-telecom-anlaysis

The project aims to analyze and compare key performance indicators of a major telecommunications provider using Tableau

food-image-classification icon food-image-classification

This project aims to build machine learning pipelines for two tasks: accurately classifying images as rice or chips and determining if a dish is from Indian cuisine.

nutrition_analysis_rest_api icon nutrition_analysis_rest_api

Web-based application that allows users analyze their food intake to obtain nutrition info of their diet. The application follows a client-server architecture with the front-end serving as a user interface and the back-end providing a RESTful service interface for CRUD operations.

principal-component-analysis icon principal-component-analysis

This GitHub repository showcases my hands-on exploration of salary data dependencies, the interaction between education and occupation, and a comprehensive Principal Component Analysis (PCA) on college information, providing insights and practical implications in a simplified manner.

sql-server-samples icon sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

time-series-forecasting icon time-series-forecasting

In this project, we leverage time series forecasting techniques to make educated estimates of wine sales throughout the 20th century.

tmlc-fellowship-submission icon tmlc-fellowship-submission

This is a submission for problem statement given by The Machine Learning Company for their fellowship program. This involved solving the problem statement with NLP techniques.

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