Ex - @appwrite , Ex- @timechainlabs | 🥇 SIH'23 Winner | 💼 Ex-Intern @CareEdge Group | AI-ML 🤖 | Web-Dev 👨💻 | 6x Hackathon 🏆
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Institute of Engineering & Management, Kolkata
Data Scientist
June 12, 2026 – Present
Patient-Health-Monitoring-System
August 2, 2024 – August 2, 2024
Patient Health Monitoring System Using ESP32
View Projectsummarizer
May 8, 2023 – August 3, 2024
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
View Projectdrowsiness-detection
April 13, 2023 – August 3, 2024
A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.
View ProjectWin_Analyser
August 28, 2022 – August 16, 2024
The objective of this project is to employ machine learning to make real time predictions of scores by using Python. The aim is to make use of linear regression to apply on data frames to get the prediction score as an output.
View ProjectRegression_Predictor
June 18, 2022 – May 12, 2023
Predicting Scores of a student Using a Simple Linear Regression Model Based on the number of hours the student studied in Python,
View ProjectHand_Gesture_Recognition
April 30, 2022 – October 31, 2022
Hand_Gesture_Recognition — GitHub repository
View ProjectSenMeter
January 11, 2022 – August 6, 2024
Sentimental Analysis of Twitter Posts and Recommending Psychological Reports Based on them
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects (summarization, sentiment analysis, health monitoring, drowsiness detection) suggests a broad interest in applying technology to various problems. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and there are no psychometric test results or interview feedback.