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ThoughtWorks
Data Scientist
June 20, 2026 – Present
FAISS_retrieval_RAG
October 18, 2025 – October 22, 2025
Building a RAG Pipeline using LangChain and FAISS
View Projectseq2seq_transformer
January 20, 2025 – January 20, 2025
A PyTorch-based implementation of the Transformer architecture from scratch, designed for sequence-to-sequence tasks like machine translation. This repository demonstrates the development of a fully functional translation model, featuring attention mechanisms, positional encoding, and multi-head self-attention.
View Projectassociation-rule-mining
February 1, 2021 – February 1, 2021
An example for Association Rule Mining using grocery_dataset.csv
View Projectcookiecutter-ml-flask-serving
October 31, 2020 – October 31, 2020
ML model flask serving template
View Projectdeep_learning_samples
September 11, 2020 – September 13, 2020
deep_learning_samples — GitHub repository
View Projecttensorflow2.0_sample
September 6, 2020 – September 6, 2020
tensorflow2.0_sample — GitHub repository
View Projectperformance-jmeter
April 17, 2018 – August 7, 2018
A ruby based end to end performance monitoring setup using Jmeter, InfluxDB and Grafana Dashboard.
View ProjectWAATForMobile
August 23, 2016 – May 2, 2018
Captures and verifies analytics data for Android WebApp(Chrome) using BrowserMobProxy
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects, from performance monitoring to deep learning implementations, suggests a proactive and curious individual. However, the 'experienceLevel' being 0 and the single current role starting in the future (2026) makes it difficult to assess cultural fit in a professional setting. The projects are all personal, which is good for demonstrating initiative but lacks team collaboration context. The target role is 'Data Scientist', which aligns well with the majority of their personal projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and there are no psychometric or English test results to evaluate these aspects.