Passionate about transforming data into actionable insights through analytics, visualization, and machine learning. I enjoy solving business problems using data-driven approaches and building intelligent solutions with modern technologies.
- 🎓 MCA Graduate with a strong foundation in Computer Applications, Data Analytics, and Artificial Intelligence.
- 📊 Passionate about Data Analysis, Business Intelligence, Machine Learning, and Predictive Analytics.
- 🐍 Skilled in Python, SQL, Data Visualization, and Statistical Analysis.
- 🤖 Currently exploring Deep Learning, Generative AI, Large Language Models (LLMs), and Cloud Technologies.
- 📈 Interested in Data Analyst, Data Scientist, Business Analyst, and AI/ML Engineer roles.
- 🌱 Dedicated to continuous learning and building impactful projects.
- 📧 Email: kunjatinanda@gmail.com
- 🔗 LinkedIn: linkedin.com/in/kvnandakumar123
- 💻 GitHub: github.com/kunjetivenkatanandakumar
| Category | Skills |
|---|---|
| Programming Languages | Python, SQL, Java, R (Basic) |
| Data Analysis | Exploratory Data Analysis (EDA), Data Cleaning, Data Wrangling, Data Transformation |
| Data Visualization | Power BI, Tableau, Matplotlib, Seaborn, Excel Charts |
| Business Intelligence | Dashboard Design, KPI Tracking, Data Storytelling, Stakeholder Reporting |
| Databases | MySQL, PostgreSQL, SQLite, MS SQL Server |
| Python Libraries | Pandas, NumPy, Scikit-learn, SciPy |
| Machine Learning | Classification, Regression, Feature Engineering, Model Evaluation, Predictive Analytics |
| Statistics | Descriptive Statistics, Inferential Statistics, Hypothesis Testing, A/B Testing |
| ETL & Data Processing | ETL Pipelines, Data Extraction, Data Transformation, Data Loading |
| Spreadsheet & Reporting | Microsoft Excel, Pivot Tables, VLOOKUP, XLOOKUP, Macros, DAX |
| Version Control | Git, GitHub |
| Development Tools | Jupyter Notebook, Google Colab, VS Code |
| Cloud & Deployment | Azure (Learning), Docker (Learning) |
| Analytics Tools | Google Analytics, Power BI Service |
| Soft Skills | Problem Solving, Critical Thinking, Communication, Team Collaboration, Analytical Thinking |
- Developed a deep learning model to detect diabetic retinopathy from retinal images.
- Applied image preprocessing and CNN architectures for classification.
- Improved healthcare diagnosis support through AI-driven image analysis.
- Built interactive Power BI dashboards to monitor sales performance and KPIs.
- Analyzed customer behavior, revenue trends, and business metrics.
- Delivered actionable insights for data-driven decision-making.
- Developed machine learning models to identify customers likely to leave.
- Performed feature engineering, model training, and evaluation.
- Generated business recommendations to improve customer retention.
- Processed customer reviews and textual feedback using NLP techniques.
- Built sentiment classification models using Python libraries.
- Extracted valuable insights from unstructured data.
- 📜 NPTEL – E-Business Certification
- 📜 ExcelR – Python Programming and SQL
- 📜 ExcelR – Data Science Using Python
- 📜 ExcelR – Fundamentals of Full Stack Development
- 📜 Udemy – CSS, JavaScript, and PHP
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- MLOps Fundamentals
- Azure Cloud Services
- Docker & Containerization
- Advanced Power BI
- SQL Query Optimization
- Actively building projects in Data Analytics, Machine Learning, and Artificial Intelligence.
- Continuously improving coding, analytical, and problem-solving skills through hands-on practice and real-world datasets.
To build a successful career in Data Analytics, Data Science, and Artificial Intelligence by leveraging analytical thinking, programming expertise, and machine learning skills to solve complex business challenges and create impactful solutions.