Kanak Bisht

Projects

Built a real-time user clickstream & transaction streaming data pipeline using Apache Kafka, Apache Spark structured streaming, Postgres, Minio and Grafana. I simulate user journeys clickstream and transaction data, push to kafka topics, process using spark and store the data in Minio and postrges. Finally I visualize the data using Grafana

Travel Buddy is a app built using ReactJS and makes use of different APIs on RapidAPI to help a user find the best places to eat around. This is a project that I started to deepen my understanding of React. It is a work in progress something that I am still working on to add more functionalities.

AQI Prediction Web app was something I built as my final year project. It's meant to serve as a informational app that We scrap the data from a weather website and create our dataset for prediction of PM2.5 values. Then explore our dataset and try to find insights using visualization libraries like matplotlib and seaborn and finally train a RandomForestRegressor model on our data. Using Flask we create a REST API for our model so that we can get predictions.

Olympic Data Analysis is a data analysis dashboard I made that makes use of Power BI to analyze the Olympics data. This includes data about number of medals won by different players according to their nationalities and sport type and gives the user an easy way to analyze the data.

An NLP web application built using spacy and streamlit. The web app summarizes the given text data using LexRanksummarizer.

About

Hi! I am a Data Engineer based out of Bengaluru, India. I have spent 2.5 years working on end-to-end data pipelines, handling everything from data ingestion and cleaning to building reliable systems for processing and delivery. I have worked with a wide range of data from meteorological satellite data to high-frequency demand and device data and also worked with vector databases. I’m especially interested in real-time systems and love learning about how data infrastructure scales. I have an avid interest in data engineering. I also love containers. Currently I am teaching myself k8s. Check out my work and feel free to reach out!

Contact Me

• LinkedIn
• GitHub

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