
MS in Data Science at Universiteit Leiden, The Netherlands | Ex-AI Consultant at POEM Incubators | Ex-Data Scientist at Woobblr Technologies Pvt. Ltd.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
POEM Incubators Pvt. Ltd (Dubai
Data Scientist
June 29, 2026 – Present
OpenCareers
May 18, 2026 – Present
An AI that finds & applies jobs for you, so that you land your dream job while doing your hustle. This system uses OpenRouter API
View ProjectHuman-Trafficking-Detection-An-Integrated-Pipeline-Utilizing-NLP-GNN-GIS
June 15, 2025 – Present
This repository hosts the code, models, and documentation for the Master’s Thesis Project titled: “AI-Powered End-to-End Pipeline for Spatio-Temporal Analysis of Human Trafficking Networks Using Victim Testimonies”
View ProjectCovid-19-Forecasting-using-AutoML-based-on-Adaptive-Drift-Detection-with-ADWIN-and-DDM
January 29, 2025 – February 3, 2025
This project implements an AutoML-driven adaptive drift detection framework for COVID-19 forecasting, leveraging ADWIN & DDM to dynamically adjust models in response to concept drift. It enhances predictive accuracy by intelligently retraining models, ensuring robust time-series forecasting under evolving data conditions.
View ProjectGeoSpatial-data-analysis-UN-SDGs-Ethiopia-and-Congo
January 20, 2025 – January 20, 2025
This project analyzes spatial data for SDGs 1 (No Poverty) and 2 (Zero Hunger) in Ethiopia and DRC. It examines the correlation between employment rates and poverty, and tracks changes in undernourishment from 2010-2020. Using Moran's plots and choropleth maps, the project visualizes and interprets regional disparities
View ProjectGenerative-Models-and-Sequence-to-Sequence-Modeling-with-GANs-VAEs-and-RNNs
January 13, 2025 – January 13, 2025
This project focuses on implementing Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Convolutional Autoencoders (CAEs) for image generation and reconstruction tasks. Additionally, RNNs are used for sequence modeling in a sequence-to-sequence problem, such as learning arithmetic operations from text and image data
View ProjectNeural-net-for-Handwritten-Digit-Recognition-Classification-and-XOR-Problem
January 13, 2025 – January 13, 2025
This project implements Random Forest models for classification and regression tasks on the MNIST dataset (digit classification) and XOR problem. It includes dimensionality reduction, nearest mean classification, KNN, multi-class perceptron, and neural network implementations from scratch.
View ProjectData-Analytics-With-Matrix-Vector-Calculations-Linear-Regression
August 1, 2020 – August 1, 2020
This Repository Contains Various Dynamic-Data-Driven Functions to do various Calculations for Data Processing & also Vector-Based Calculations Based on Matrix, with all this a Algorithm For Linear Regression
View ProjectFibonacci-numbers-mod-Pisano-series
June 1, 2020 – June 1, 2020
Code to Calculate modulus of any Fibonacci numbers using the concept of Pisano Series
View ProjectFibonacci-Series-Using-Matrix-Exponentiation
May 31, 2020 – July 5, 2020
I'm Providing the code for Fibonacci Series Using Matrix Exponentiation
View ProjectERP-SYSTEM-WITH-CLOUD-DATABASE
March 28, 2020 – March 28, 2020
This Project is basically for the college resource management which will take the data as input and will upload all of the data to a remote secure cloud based database written from scratch to top in C++20
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and AI, aligning with a Data Scientist role. The diversity of projects, from COVID-19 forecasting to human trafficking detection and SDG analysis, suggests a broad interest in applying data science to real-world problems. However, the lack of team-based projects or collaborative experience in the provided data makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex problems independently.