Software Development or Software Engineering? 2020
August 4, 2024
Often, people ask us: What’s the difference between software development and software engineering? The two roles overlap
I am Sayanth Rathnendranath, a data professional with an MSc in Business Analytics from Warwick Business School and a background in Computer Science. I specialize in data analysis, machine learning, and visualization using tools like Python, SQL, Power BI, and Tableau. I am passionate about continuous learning, and I have a proven track record of applying advanced analytics to solve critical business challenges. Connect with me on LinkedIn, explore my project portfolio, discover my GitHub projects, or review my CV.
I have been learning data analytics since 2016, studying various technologies and creating projects along the way. Below is an overview of my main technical skills and the technologies I use. Want to learn more about my experience? Check out my online resume and project portfolio.
I leverage Python for data manipulation, utilizing libraries such as NumPy, Pandas, and Scikit-Learn to conduct in-depth data analysis and build machine learning models. My experience with Python enhances my ability to automate workflows and perform complex data transformations.
I have designed and optimized databases to ensure reliable data storage and retrieval in SQL, Oracle, and DB2. My expertise includes writing complex SQL commands and applying database normalization techniques.
Excel is a fundamental tool in my arsenal for data analysis, visualization, and statistical modeling. I use Excel for quick data manipulations, creating pivot tables, and performing complex calculations that inform business decisions.
Power BI and Tableau are my go-to tools for transforming data into insightful visualizations. I design and develop interactive dashboards that provide stakeholders with clear, actionable insights, enhancing data-driven decision-making.
I specialize in applying machine learning algorithms using Python libraries. My projects often involve predictive modeling, classification, and clustering, which help solve real-world business problems and improve operational efficiencies.
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Here’s what some of my colleagues and clients have to say about my work. These testimonials highlight my dedication, technical expertise, and ability to deliver impactful results. Their feedback underscores my commitment to excellence and continuous improvement in the field of data analysis and business analytics.
Explore some of my key projects that demonstrate my expertise in data analysis, machine learning, and data visualization. These projects showcase my ability to tackle complex challenges, deliver actionable insights, and drive business value through innovative solutions. Each project highlights my technical skills, problem-solving abilities, and dedication to excellence.
This project aims to predict the severity of accidents by analysing various factors such as location, collision type, and number of vehicles involved. The goal is to develop a model that can warn users about potential hazards and help them make informed decisions about their travel plans.
This project applies dimensionality reduction techniques like Principal Component Analysis (PCA) and clustering algorithms like K-Means to group loan applicants based on their financial attributes. The analysis includes interpreting the clusters, evaluating cluster quality, and visualizing the result
The project involves analyzing monthly price data of five assets and a corresponding factor value column to predict portfolio returns. Mean-Variance Markowitz models are utilized to evaluate various risk-return scenarios and identify optimal asset allocations.
This project involves preprocessing and analyzing a dataset related to customer behavior and demographics. Techniques such as data manipulation, missing value handling, data preparation, feature selection, modeling using SVM are applied to predict customer behavior and assess model performance.
Stay updated with my latest insights and analyses in the field of data analytics. Each post aims to share knowledge and practical tips to tackle common data challenges. Explore my articles for valuable perspectives on the evolving world of data analytics
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