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walmart-m5-forecasting
October 12, 2025 – October 12, 2025
This repository provides a foundational codebase for implementing and experimenting with several SOTA time series forecasting models. The primary goal is to offer ready-to-use notebooks that can be easily adapted for custom forecasting tasks, rather than to benchmark model performance.
View Projectgenai-prod-catalog-enrichment
January 31, 2024 – January 31, 2024
Gen AI tool for product catalog extraction
View ProjectAirflow-Monitoring-ElasticSearch-LogStash-Kibana
August 2, 2021 – August 3, 2021
In this project we look to set up Airflow monitoring using ElasticSearch-LogStash-Kibana (ELK stack). We will set up the stack using docker images.
View ProjectForex-Currency-Processing-Airflow-Hdfs-Hive-Spark
July 30, 2021 – July 30, 2021
We build a Forex-currency rates pipeline to get currency rates from an external API and load the data into HDFS from where we use pyspark job to massage the data and insert it into a Hive table. The objective of this pipeline is to get the data ready for any downstream machine learning pipeline.
View ProjectData-Streaming-Using-Aws-Kinesis-Lambda-S3
July 25, 2021 – July 26, 2021
A production grade data pipeline that streams real time data of an online retailer website into AWS S3 data lake. The pipeline uses AWS Kinesis to receive real time streaming data and a lambda consumer which puts data into S3 data-lake.
View ProjectAirflow-Batch-Pipeline-S3-Redshift
July 25, 2021 – July 25, 2021
Data pipeline that has been designed to automate the parsing of user search patterns from logs of a property hosting website. The pipeline extracts data from S3 , massages the data and puts the final output into AWS Redshift. From the processed data we would look to derive some Business observations.
View Projectcsv_parquet
June 1, 2021 – July 25, 2021
Project showing integration of upstream file into your data lake. we look at handling high volume customized data formats and converting them into parquet.
View Projectautopredict
March 14, 2020 – June 1, 2021
auto-predict is a python library to automate building of prediciton models,feature selection and some more handy utilities used in building prediction models.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data engineering and data science domains. The diversity of projects, from data streaming to forecasting and NLP, indicates a broad technical curiosity. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit comprehensively. The target role 'Data Scientist' aligns well with the project themes, but the experience level is listed as 0, which contradicts the depth of projects, suggesting a potential mismatch in self-assessment or missing professional experience details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex data engineering and data science tasks, suggesting a problem-solving orientation.