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Senior SWE (AI/ML) @egnyte 💼 | Ex @intel | Silver Medalist 🥇 @ IIT Jammu | Rank 1 @ GECB 💫
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cs50
Data Scientist
June 21, 2026 – Present
joblo-ai
Data Scientist
June 21, 2026 – Present
langchain-ai
Data Scientist
June 21, 2026 – Present
egnyte
Data Scientist
June 21, 2026 – Present
intel
Data Scientist
June 21, 2026 – Present
Informer
January 7, 2022 – January 8, 2022
Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
View ProjectCricket-Score-Predictor
October 2, 2020 – December 13, 2020
Cricket match score prediction using Machine learning algorithms: Linear Regression & Random Forest.
View ProjectStudent-Attendance-Management
May 19, 2020 – May 19, 2020
Implementation of Student Attendance Management System
View ProjectDisease-prediction-using-Machine-Learning
May 13, 2020 – May 26, 2020
Implementation of various machine learning algorithms to predict the disease from symptoms.
View ProjectSocial-Distancing-Detector
April 19, 2020 – April 26, 2022
An AI Tool to Help Customers Monitor Social Distancing in the Workplace.
View ProjectThe-best-classifier
January 6, 2019 – January 6, 2019
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
View ProjectApplied-Data-Science-Capstone-Project
January 3, 2019 – April 21, 2020
This capstone project will give you a taste of what data scientists go through in real life when working with data.
View ProjectFace-Recognition
October 13, 2018 – May 26, 2020
The simplest android application which recognizes the faces from image.
View ProjectText-Detection
October 11, 2018 – May 26, 2020
The simplest android application which recognize the text from the image.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Data Science and Machine Learning, aligning with the target role. However, the listed 'experience' entries appear to be future-dated or placeholder entries (e.g., '2026-06-21T11:21:57.396Z'), making it difficult to assess actual professional experience or cultural fit within a team environment. The diversity of projects is good, but the lack of real-world, team-based project descriptions limits the assessment of collaborative fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.