Machine Learning, Deep Learning, NLP, Gen AI
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Persistent Systems
Data Scientist
June 18, 2026 – Present
Application-Code-Buddy
February 27, 2024 – June 19, 2024
Used Langchain Agent Framework to create Application Code Buddy Chatbot
View ProjectCompanyInsiderBot
August 25, 2023 – August 28, 2023
Chat with your company's annual reports.
View ProjectIRE-Major-Project
October 28, 2021 – November 25, 2021
IRE-Major-Project — GitHub repository
View ProjectMachine-Translation-Hindi-to-English
September 27, 2021 – September 27, 2021
Sequence to Sequence with Attention mechanism implemented for Machine Translation task on Hindi-English Parallel Corpus
View ProjectML-problem-for-Facial-datasets
June 23, 2020 – June 23, 2020
Problem has asked to use 6 different features/representations. They are (a) PCA/Eigen face(b)KernelPCA(c)LDA/Fisherface(d)Kernel Fisher Face (e) VGGFace (f) ResNet features Using these features, we need to analyze data and show empirically. Dataset used for this problem - IMFDB, CFW and YALE dataset I have written MLP Classifier (using Keras) for these datasets and drawn table showing model performances (like accuracy, F1 Score etc.) for different features. 4. For verification, I have used KNN Classifier and generated similar table for these 3 datasets. 5. I have created a new dataset which contains all the images from CFW and IMFDB datasets and generated image label as 0 (cartoon) and 1 (Real Image) for all the images. Now, I have used KNN Classifier and generated similar table of performance I have created a new dataset that contains cartoon and real images, which is a combination of IIITCFW and IMFDB datasets. I have generated data labels for these images in this combined dataset an
View ProjectClub-Mahindra-Hackathon
June 23, 2020 – June 23, 2020
This project is to predict a guest expenditure for a hotel stay. We have calculated RMSE score to decide the performance of our model
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual technical exploration and problem-solving in the data science domain. The diversity of projects (facial recognition, NLP, predictive modeling, Q&A bots) suggests adaptability and a broad interest in different ML applications. However, without information on collaborative projects or team roles, assessing cultural fit for a team-oriented environment is challenging. The candidate's experience level is listed as 0, but they hold a 'Data Scientist' role at Persistent Systems, which suggests a potential mismatch in the provided experience level or a very recent entry into the role. This could impact cultural fit if the target role requires significant prior industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.