Apoorv
Data ScientistSDE at Amazon
Delhi, IndiaMember since June 14, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sales-Training-Chatbot-RAG
February 20, 2026 – Present
A CLI chatbot that ingests sales call transcripts, stores them as vector embeddings, and lets you ask natural-language questions — citing the exact conversation segments that informed each answer.
View Projectecommerce-api
February 4, 2026 – Present
A simple e-commerce backend built with Node.js, Express, and MySQL, demonstrating primary–replica replication, read/write splitting, and connection pooling. Designed as a learning-focused but production-inspired system.
View ProjectCountry-Based-Product-API
January 16, 2026 – Present
Built a Product API that: Stores a catalog of products. Calculates final prices including country VAT and discounts. Allows concurrent discount application, but guarantees: “The same discount cannot be applied more than once to the same product — even under heavy concurrent load.” Formula: finalPrice = basePrice × (1 - totalDiscount%) × (1 + VAT%)
View ProjectJai-Investments-next.js
October 22, 2023 – October 26, 2023
A website for an insurance consultancy firm made using Next.js, MongoDB, and Tailwind.
View Projectchatbot-pytorch
July 28, 2023 – July 28, 2023
A chatbot made using pytorch library which can be used on a e-commerce site selling tea and coffee.
View ProjectCrop-Yield-Prediction-Model
July 28, 2022 – July 28, 2022
A machine learning model to predict the yield of crops in India. Here I implemented various machine learning algorithms to better estimate the yield of crop.
View ProjectObstacle-avoiding-car-Arduino-Uno-
December 22, 2019 – October 1, 2020
Made an obstacle avoiding car using the microcontroller Arduino Uno.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering web development, embedded systems, and machine learning. This breadth suggests adaptability and a willingness to explore different technical domains. However, the majority of projects are personal and lack team collaboration context, making it difficult to fully assess cultural fit in a collaborative environment. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is quite broad, which could indicate a generalist tendency rather than a deep specialization in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, suggesting good written communication for technical topics.