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Accelequant
Data Scientist
June 21, 2026 – Present
Transformer
May 9, 2025 – May 30, 2025
This implementation from scratch of the Transformer architecture for Neural Machine Translation (NMT). The model is trained to translate sentences from English to Hindi, based on the IIT Bombay English-Hindi Parallel Corpus.
View Projectpranavgajera.github.io
March 26, 2024 – February 19, 2025
pranavgajera.github.io — GitHub repository
View ProjectDeep-Walk
October 10, 2023 – October 10, 2023
Implementation of DeepWalk algorithm for node embeddings extraction using random walks in graph network.
View ProjectMachine-Translation
September 12, 2023 – October 8, 2023
Attention based Encoder-Decoder Network to translate human readable dates to machine readable dates
View ProjectSentiment-Analysis
September 12, 2023 – September 12, 2023
Sentiment Classification on pre-trained word embedding using Deep Averaging Network.
View Projecthappybirthdaysi.github.io
August 8, 2023 – August 10, 2023
happybirthdaysi.github.io — GitHub repository
View ProjectLeetCode-Practice
August 1, 2023 – August 7, 2025
Collection of LeetCode questions to ace the coding interview!
View ProjectPCA-and-Multi-Class-Support-Vector-Machines
June 2, 2023 – June 2, 2023
Principal Component Analysis and Support Vector Machines Implementation on MNIST Dataset
View Projectudaan18-android-app
February 25, 2018 – April 1, 2018
udaan18-android-app — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual technical exploration, which can be beneficial for problem-solving. However, the lack of team-based projects or contributions makes it difficult to assess collaboration and broader cultural fit. The single listed professional experience as 'Data Scientist' is current but lacks details on responsibilities or achievements, limiting the assessment of real-world team interaction.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.