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Assessing your cultural and operational fit
ai-operations-automation-agent
May 10, 2026 – Present
AI-powered operations and procurement automation platform with FastAPI, PostgreSQL, MCP tools, Slack reporting, scheduled jobs and Streamlit dashboard.
View Projectprophet-based-time-series-forecasting
March 2, 2026 – Present
Time series forecasting project using Facebook Prophet to predict weekly trends with holiday effects and external regressors. Includes model training, parameter tuning, cross-validation, and visualization for actionable insights.
View Projectrevenue-forecasting-arima-sarima-sarimax
March 2, 2026 – Present
End-to-end time series revenue forecasting project using ARIMA, SARIMA (weekly seasonality), and SARIMAX with external variables (discount and coupon rates). Includes EDA, stationarity testing, cross-validation, hyperparameter tuning, and future forecasting with performance evaluation (MAE, RMSE, MAPE).
View Projectlegal-ai-assistant
February 20, 2026 – Present
Legal AI assistant using embeddings + Flan-T5 with FastAPI, Streamlit, Docker, and Kubernetes deployment on GCP.
View Projecthr-rag-system
January 21, 2026 – Present
RAG system for HR employee insights using OpenAI, LangChain, Chroma, and Gradio.
View Projectautonomous-market-competitive-intelligence-ai-system
December 23, 2025 – December 23, 2025
Autonomous Market & Competitive Intelligence AI System: A multi-agent AI system using crewAI to autonomously research market trends, analyze competitors, and generate strategic insights and reports leveraging LLMs and structured memory.
View Projectdata-analysis-projects
March 12, 2025 – Present
data-analysis-projects — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and a passion for AI/ML. The diversity of projects, from time series forecasting to AI assistants and multi-agent systems, suggests adaptability and a broad interest in the field. However, the lack of team-based 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 project descriptions indicate a proactive approach to learning and applying various AI/ML technologies.