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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
truthstream-app
June 13, 2025 – June 30, 2025
TruthStream is an end-to-end, real-time misinformation detection system leveraging Kafka for data streaming (Reddit, NewsAPI), BERT-based NLP classification, Wikidata for knowledge verification, MongoDB for storage, and a Streamlit dashboard for visualization. Modular design supports extensibility and production deployment.
View Projectf1-prediction-app
June 6, 2025 – June 30, 2025
An AI-powered F1 race predictor using FastF1, machine learning models, and real-time weather data — built with Streamlit.
View Projectinquiro-chatbot
May 24, 2025 – Present
An intelligent multi-PDF chatbot built with Retrieval-Augmented Generation (RAG), using FAISS for semantic search and Mistral via OpenRouter for large language model reasoning.
View Projectretail-demand-forecasting
May 7, 2025 – May 25, 2025
An interactive Python dashboard for forecasting retail product demand using ARIMA and LSTM models. Features include dataset upload, automated preprocessing, exploratory analysis, model training, comparison, and visualization — all in a simple Tkinter GUI. Built with Pandas, Scikit-learn, Statsmodels, TensorFlow, Matplotlib, and Tkinter.
View Projectcovid-mortality-dashboard
February 13, 2025 – June 15, 2025
Analysis of COVID-19 mortality rates based on age and gender using statistical methods and visualization.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong interest in diverse data science applications, from F1 prediction to misinformation detection and retail demand forecasting. This breadth of interest aligns well with a culture that values curiosity and continuous learning. However, the lack of team-based projects or formal experience makes it challenging to fully assess cultural fit regarding collaboration and professional interaction.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and implement complex data science solutions. The focus on personal projects suggests self-motivation and a proactive approach to learning and application. However, without formal work experience or psychometric test results, it is difficult to assess operational fit, teamwork, or stress handling capabilities.