
ML Engineer | Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QuickPulse
April 25, 2026 – Present
Real-time news intelligence - multi-source feeds, auto-clustered by topic and sentiment-scored as it happens.
View ProjectSumUp
April 23, 2026 – Present
On-demand AI summarizer - paste text, submit a URL, or upload a PDF and get concise summaries instantly.
View ProjectDocQuest
April 23, 2026 – Present
Personal Knowledge RAG - upload documents, chat with cited answers
View ProjectUS_Unemployment_Dashboard
July 16, 2021 – July 16, 2021
An interactive dashboard to visualize COVID -19 pandemic impact on US unemployment.
View ProjectNews_Sentiment_Categorization
July 16, 2021 – July 16, 2021
A Machine Learning based web application that delivers news catering to user sentiment preference
View ProjectMachine-Learning-Projects
July 15, 2021 – July 16, 2021
A collection of projects completed as part of Post Graduate Program in Artificial Intelligence and Machine Learning
View ProjectExoplanet-Exploration-with-Machine-learning
June 29, 2020 – July 30, 2020
Data Analysis of NASA's Kepler mission for exoplanet exploration using Machine leaning models and Pandas
View ProjectCitiBike-Analytics
June 17, 2020 – July 30, 2020
Data analysis of the NYC Citibike sharing program within a 5 year span using Tableau
View ProjectProject_2-DataVizards
May 30, 2020 – February 2, 2023
Project_2-DataVizards — GitHub repository
View ProjectETLProject-TeamGreen
April 24, 2020 – April 29, 2020
ETLProject-TeamGreen — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML and data science. The diversity of projects (e.g., news intelligence, summarization, knowledge RAG, unemployment dashboard, exoplanet exploration) indicates a proactive and curious mindset. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.