I am a Data Scientist, I love telling stories with data. I retrieve data using SQL, clean it, do exploratory data analysis on it to help stakeholders make data informed decisions. I also build and deploy machine learning models, mostly in the fields of finance, e-commerce and Natural Language Processing. I am a lover of python and all you can do with it using frameworks like Flask and fastAPI. I also do front end web development using React, not really a jack of all trades, but a lover of all things tech and being in the know of emerging trends and changes.
I am available for writing technical articles and contributing on open source projects.
Mar 28, 2023 · 8 min read · This article is an in-depth guide to Git and GitHub. You will get to know what exactly Git and GitHub are and how you can leverage them to make your data science projects easier to track. As a data scientist, you need to have a solid grasp of these t...
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Mar 22, 2023 · 7 min read · This is the ultimate guide to exploratory Data Analysis. Exploratory data analysis (EDA) is an approach to analyzing and summarizing datasets to identify patterns, trends, and relationships. It is very important in the Data Science Life Cycle because...
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Mar 20, 2023 · 5 min read · Sentiment analysis is an approach to natural language processing (NLP) that studies the subjective information in an expression. When we say subjective information, this means that the information is subject to change from person to person and it inc...
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Mar 17, 2023 · 3 min read · Data is the new oil. Not literally, but this means that data is really valuable in this era that we are currently living in. Raw data in itself is not as valuable, but the information extracted from the raw data is very valuable. This extraction of v...
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Mar 16, 2023 · 4 min read · SQL, which in full is Structured Query Language is one of the most important tools that a data scientist should be well versed with. There are several variations of SQL and they include PostgreSQL, MySQL, Microsoft SQL Server, and Standard SQL. Here ...
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