About me
I am interested in:
- Data Analysis
- Machine Learning
- Statistical Analysis
- Artificial Intelligence
- Data Visualization
What I Can Do
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Data Analysis & Visualization
I turn raw data into insights through cleaning, transformation, and visualization using Power BI, Tableau, SQL, and Python. I build dashboards and reports that support strategic decision-making.
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Data Science
I apply statistical methods, feature engineering, and machine learning to solve business problems. Skilled in Scikit-learn, Pandas, and data storytelling from exploration to deployment.
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Machine Learning & AI
I design predictive models and implement real-time solutions using tools like YOLO and OpenCV. My work spans regression, classification, and anomaly detection.
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Data Engineering
I build and automate ETL pipelines using Python, SQL, and MongoDB, ensuring clean, scalable data systems for analytics and machine learning workflows.
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Full-Stack Development
I develop web applications using Django, integrating backend logic with dynamic front-end interfaces and APIs to deliver data-driven user experiences.
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Cloud & DevOps (Basic)
I have working knowledge of AWS (EC2, S3), cloud deployments, and version control. I manage scalable environments and automate lightweight workflows.
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Statistical & Quantitative Analysis
I use statistical tools to run A/B tests, validate hypotheses, and evaluate model performance with metrics like MAE and R².
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Automation & Scripting
I automate data tasks with Python, streamlining processes like reporting, ingestion, and pipeline monitoring for operational efficiency.
certifications
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Python programming
OUTCOMES:
- 1. I have learned the basics of Python syntax and semantics.
- 2. And Gained the ability to write Python programs that solve real-world problems.
- 3. I will Develop the skills necessary to become a professional Python developer. verify here
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R for Data Science
OUTCOMES:
- 1. I have learned the basics of R syntax and semantics.
- 2. And Gained the ability to use R to analyze data and build predictive models.
- 3. I will Develop the skills necessary to become a professional data scientist. verify here
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cloud computing with AWS
OUTCOMES:
- The training consisted of Introduction to Cloud Computing, Getting Started with AWS, AWS Identity & Access Management, Simple Storage Service (S3), Virtual Private Cloud (VPC), Elastic Compute Cloud (EC2), High-Level Architecture, Database, AWS Advanced Services, AWS Security & Management Services, AWS Billing and Pricing, and Training Conclusion and Final Project modules. In the final assessment.
- I have scored 87% marks. verify here
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Python 100 Days Programming
OUTCOMES:
- 1. Proficient in Python 3 and versatile scripting techniques.
- 2. Skilled in full-stack development using PyCharm, Jupyter Notebook, and Google Colab.
- 3. Experienced in web scraping, employing tools like Beautiful Soup and Selenium Web Driver.
- 4. Proficient in data science with Pandas, NumPy, Matplotlib, Plotly, Scikit-learn, and Seaborn.
- 5. Competent in GUI application development with Tkinter and front-end web technologies including HTML5, CSS3, and Bootstrap 4.
- 6. Knowledgeable in version control using Git and GitHub, deployment via GitHub Pages, Heroku, and GUnicorn.
- 7. Familiar with backend development using Flask, REST APIs, and databases such as SQLite and PostgreSQL.
- 8. Well-versed in web design principles and practical deployment strategies. verify here
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Web Development
OUTCOMES:
- 1. Proficient in both front-end and back-end web development, including HTML5, CSS3, Bootstrap 5, JavaScript ES6, React.js, and React Hooks.
- 2. Skilled in dynamic content manipulation through DOM manipulation, jQuery, and crafting component-based user interfaces for enhanced user engagement.
- 3. Versatility in full-stack development, utilizing Node.js, Express.js, MongoDB, and Mongoose for efficient server-side scripting and seamless database integration.
- 4. Experienced in version control using Git and GitHub, facilitating smooth collaboration and effective codebase management within development teams.
- 5. Knowledgeable in blockchain technology, Token contract development, NFT lifecycle, and Web3 development on the Internet Computer, showcasing adaptability and proficiency in emerging tech trends.
- 6. Knowledgeable in version control using Git and GitHub, deployment via GitHub Pages, Heroku, and GUnicorn.
- 7. Well-versed in web design principles and practical deployment strategies. verify here
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Internship and job training
OUTCOMES:
- The training consisted of Getting Started with the Job Hunt, Building up your Gears, Going at the Front, and The Final Project modules. In the final assessment.
- I have scored 85% marks. verify here
