Biswas Kumar

I Humanize Data

Areas of Interest

I want to help others to make the right decisions, data-driven decisions. My interest lies in data analytics and machine learning - supervised & unsupervised algorithms, and the use of data visualization techniques to present the results. I am a Microsoft Certified: Azure Data Scientist and also holds Power BI Data Analyst & Azure Data Fundamentals certifications from Microsoft. I use SQL, Machine Learning, NLP, R, Python, PowerBI and Azure Cloud for data projects.

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Data Analysis

I love telling a story. Getting to the heart of a problem and coming up with an optimal solution.

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Machine Learning

I am passionate about learning the theory that is pushing the cutting edge of Machine Learning.

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I enjoy building interactive dashboards extensively in projects to highlight and analyse performances of KPIs.

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Articles and Reports

Passionate about crafting engaging reports. One of my marketing articles featured in a UN-backed magazine (Page# 6).

About me

Hi, my name is Biswas Kumar and I am a Data Science professional. I've been working as a Data Scientist at a Digital Marketing firm for over two years. I hold a Master's degree in Statistics (Machine Learning) (Linköping University, Sweden) and an MBA in Marketing (Pune University, India).

I love to play with data and try to find meaningful pattern out of it. I have diversified background and experiance which gives me the ability to translate complex questions into understandable insights.

You may reach out to me by email or connect on LinkedIn.

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Data Science Projects

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Customer Churn Prediction Project

Developed a predictive model to prevent customer churn at Bank XYZ, leveraging transactional data analysis to identify potential churners and enable targeted retention strategies, using publicly available Kaggle data and defining key performance metrics.

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Fake News Classification

Developed and evaluated the performance of RNN, LSTM, and GRU models for classifying news articles as real or fake. The objective was to bolster the credibility of news while mitigating the dissemination of false information, using publicly accessible Kaggle data.

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Diabetes Prediction Web App using Machine Learning Algorithms

Developed a Machine Learning based web app for prediction of diabetes. Visitors on web app can slide parameters for their diabetes prediction. View details on Github.

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Power BI Projects

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Sales Insights- Super Store Dashboard in Power BI

Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving business success.

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Project Management Dashboard in Power BI

Utilized advanced data analysis methods, with a focus on Project Management, to generate meaningful findings and construct dynamic dashboards that propel business achievements.

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E-mail Marketing Campaign Dashboard in Power BI

Developed and implemented an impactful E-mail Marketing Campaign Dashboard using Power BI, enabling data-driven decision-making and optimizing campaign performance.

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My Academic Projects

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Classification Models for Activity Recognition using Smart Phone Accelerometers

Developed and evaluated different Machine learning models using real-world smartphone-based tri-axial accelerometers labeled data to perform six activity recognition tasks.

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Replacement of Chris Gayle in IPL based on Machine Learning Algorithms

Researched this interesting project that dealt with a specific problem to find top 3 (three) successors for Chris Gayle, an explosive batsman cum all-rounder, in IPL.

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