Well well well, look whom we have here! Hi, it's me Govind, the self-proclaimed average content writer with a penchant for humor. I know you're excited to dive into my witty and charming writing, but do yourself a favor and grab a cup of tea or coffee (whatever floats your boat). Well, go ahead and grab one; I'll wait.. Let's get down to business, shall we? I'm an engineer by trade, with a degree in mechanical - which basically means I can build you a machine, but I'll probably use a hammer to do it. But hey, who needs finesse when you have Data? That's right; I was absolutely flabbergasted by the power of Big Data and how it can make all dreams and goals come true and existing. I mean, Who needs a genie(an unreal skeptical character) when you have all the real tools and skillsets to do? Am I right? So I decided to become that "one" who can fulfil all the dreams and goals of those dreamers(#business sectors #personnel) with to have a better future; “Data Analyst”. And let me tell you something; there's nothing more satisfying than crunching numbers and features all day long and feeling like a superhero. Move over and have a break, those fantasy superhumans. We've got a new hero in town, and he's armed with a laptop and a cup of coffee, which is “me”. But enough about me, let's talk about you. Are you still here, or did you fall asleep during my monologue? Don't worry, I won't judge. After all, I did warn you that my content-writing skills are pretty sheepish. But hey, at least I'm proud of it as I am doing it now flawlessly, right?
Forecasting is predictions made by studying historical data and past patterns. Time-series forecasting is a data science technique that uses machine learning and other computer technologies to study past observations and predict future values of time-series data. Both of these are implemented in this project to predict the next quarter month demand of products in a retail store's inventory with reference to the previous 2-year sales recorded, also considering all the anomalies tagged along .....Read More
Flask is a micro web framework written in Python and it it does not require any particular tools or libraries. Since Flask provides complete control and is ideal for small projects that require experimentation, I used it to make web applications for an E-Commerce Client Manager to identify whether their customer will churn or not from business in the future thereby helping their team to prevent it from happening and; also build an app that could recognize which flower species it is from the features like Sepal & Petal.....Read More
Data visualization is the representation of data through use of common graphics such as; charts, plots, infographics, and even animations. These visual displays of information communicate complex data relationships and data-driven insights in a way that is easy to understand. These visuals can be generated & developed with the help of powerful tools like Microsft Power BI, Salesforce Tableau, Google Analytics, Python + Visualization libraries like; Seaborn, Ploty, PyGWalker, etc... Defined the problem statements in reference to datasets and developed visualizations using Power BI, Tableau and Python libraries to provide insights and solutions for the managers to make decisons and implement in business or field to improve accordingly......Read More
Machine learning offers powerful techniques for extracting valuable insights and making predictions from data. Two key approaches in ML model development are supervised learning and unsupervised learning. These methods encompass various models including; classification, clustering, and regression, each serving distinct purposes in data analysis and decision-making. By leveraging these techniques organizations can gain valuable insights, optimize processes, and make informed decisions across a wide range of industries and domains. I have built various Classification models such as; logistic regression,svm models, KNN models, decision trees and random forests, compared their accuracy and error to give the optimal models which are employed to classify data into predefined categories or classes and later using the same model for predictions......Read More