Building time series forecasting pipelines
The work on display highlights Quantura, a market intelligence and stock forecasting platform.
The platform features a comprehensive suite of tools built for financial research and predictive modeling, including:
Forecasting Studio: Generates probabilistic forecasts (incorporating P10, P50, and P90 quantile thresholds) utilizing a model ensemble of state-of-the-art tools like Prophet, Chronos, and LLMs to run scenario analyses and visualize outcomes.
Market Screener: Filters across stocks, ETFs, crypto, and macroeconomic indicators to surface trading opportunities and signals.
Historical Downloads: Provides access to clean, standardized historical data spanning over 20 years for backtesting and model development.
Prediction Markets: Analyzes real-time probabilities from leading prediction markets.
Research Hub: Houses original research, model evaluations, and market insights.
APIs & Integrations: Offers programmatic access via REST API and Python to fetch market data, model forecasts, and prediction metrics.
0
56
Scout: AI-assisted forecast research — Quantura
I built Scout inside Quantura to help users interrogate the history and forecast they are actually viewing. Three contextual question cards organize the experience around Forecast, History and Evidence.
Users can inspect median changes and uncertainty ranges, ask about observed highs and lows, and review data sources and units. Structured answers use the selected observations and forecast values as context.
The interface also supports chart annotations, user notes, saved conversations, and named CSV previews before forecasting. The goal is to make a forecast easier to inspect, explain and revisit.
My work combines TypeScript backend logic, a JavaScript research interface and interactive charting.
Explore: https://quantura.studio/forecasting
0
23
Forecast API, SDKs & OAuth MCP — Quantura
I built a shared Search → Download → Forecast API for Quantura so developers can move from a discovered market or dataset to historical observations and asynchronous forecast results.
The integration includes JSON/CSV exports, job status handling, provider and model metadata, scoped API access, and OAuth sign-in for MCP clients. Python and TypeScript SDKs plus a CLI provide reusable integration examples.
I also organized the public RapidAPI listing into clear endpoint groups, documented usage and authentication, and added examples for scheduled forecasting workflows.
This work is useful for teams connecting forecasts to their own apps, notebooks or AI tools.
Explore the API: https://rapidapi.com/tamzid2001/api/quantura2
0
28
Graphic Designer | Visual Storytelling & Brand Design
This collection features label designs for Ninon Corporation's Fine Fragrance Mist line. Each body mist was developed with a unique visual identity inspired by its fragrance profile, using custom color palettes, imagery, typography, and product branding to create a distinct shelf presence. The designs balance aesthetic appeal with clear product communication while maintaining consistency across the overall product line and brand identity.
1
84
This presentation was developed to communicate Femfresh's brand strategy, consumer understanding, product offerings, and future growth opportunities. Through a combination of data visualization, branded storytelling, and thoughtful presentation design, complex information is transformed into an engaging and easy-to-navigate experience.
0
47
