Data Engineer with over seven years of experience in conceptualizing and engineering batch data pipelines, ad hoc & recurrent reports and online applications.
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Deloitte
Data Scientist
June 27, 2026 – Present
acme_store_sales_data_ingestion
May 4, 2021 – May 5, 2021
Acme Store Sales Data Ingestion intial check in
View Projectacme_store_sales_data_pipeline
May 4, 2021 – May 5, 2021
Acme Store Sales Datapipeline intial checkin.
View Projectrecommendation-engine
April 12, 2019 – April 16, 2019
Personalized recommendation engines were created for the users who interact with articles on IBM Watson Studio platform. Implemented multiple variations of the recommendation engines.
View ProjectStarbucks-Challenge
March 26, 2019 – April 29, 2019
Starbucks challenge is a full stack data science project that was developed using CRISP-DM methodology. The data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app.
View ProjectDisasterRecoveryWebApp
February 26, 2019 – April 16, 2019
Disaster Response Pipeline is a full stack Natural Language Processing (NLP) project. The dataset utilized in this project was constructed by Figure-Eight with prelabeled tweets and text messages from real-life disasters.
View Projectfinding_donors
February 26, 2019 – April 12, 2019
The goal of this project is to construct a supervised machine learning model that accurately predicts whether an individual earns more than $50,000 using data collected from the 1994 U.S. Census.
View Projectkaggle-survey-2018
February 3, 2019 – March 4, 2019
Kaggle had initiated an industry-wide survey in 2017 that presents a truly comprehensive view of the state of data science and machine learning. In 2018, the study was live for a week in October and had collected responses from 23,859 individuals. Data set used for the report is has 390+ columns.
View Projectpytorch-image-classifier
December 28, 2018 – April 12, 2019
Image Classifier using PyTorch is a deep learning project. This project is a neural network classifier that was developed as an extension of pre-trained torchvision neural network models.
View ProjectweRateDogs
October 24, 2018 – October 24, 2018
WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. This project performs wrangling and sentimental analysis on the tweets.
View Project2008-flight-analysis
October 18, 2018 – October 18, 2018
Wrangled airline & airport connectivity data for the year 2008 in continental United States and extracted key insights about on-ground and in-air performance.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data science and machine learning, which aligns with the target role of Data Scientist. However, all listed projects are personal, and there is only one current professional experience entry with a future start date, making it difficult to assess cultural fit based on team collaboration or diverse work environments. The breadth of skills is somewhat narrow, heavily concentrated on Python and data science tools, with limited exposure to other areas that might indicate adaptability or broader technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric or English test results available for evaluation.