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Data Scientist building forecasting and anomaly detection systems for smart buildings and energy data. Python, XGBoost, PySpark, Databricks.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
master-resume
June 10, 2026 – Present
Resume Tailoring SaaS — FastAPI + Next.js 14 + Supabase. LLM-tailored resume generation from a master career knowledge base.
View Projecttrading-signal-system
June 10, 2026 – Present
Real-time crypto trading signal pipeline (Kafka + Redis + ML)
View Projectkaggle-hedge-forecast
June 10, 2026 – Present
HEDGE multi-horizon time-series forecasting — per-horizon × per-sub_category LightGBM with Fourier time features
View Projectkaggle-birdclef-2026
June 10, 2026 – Present
Kaggle BirdCLEF+ 2026 — EfficientNet-B0 mel-spectrogram classifier + PANNs CNN14 baseline
View Projectkaggle-march-madness-2026
June 10, 2026 – Present
Kaggle March Machine Learning Mania 2026 — dynamic ratings, soft clustering, LGBM with isotonic calibration
View Projectllmgate
March 17, 2026 – Present
Plug-and-play LLM connector via YAML config — 21 providers, async, tool calling, structured outputs, embeddings, middleware. Zero bloat.
View ProjectSparkCleanCsvReader
August 4, 2023 – Present
This Utility helps you to read a csv file without having to have data leaks and also data integrity.
View ProjectAnimeAnalysis
August 4, 2023 – August 8, 2023
Data Cleaning and transformations to get some useful insights on a Kaggle Dataset : Anime Dataset 2023
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects and self-learning, which can be a positive indicator for a proactive culture. However, the lack of professional experience or team-based projects makes it difficult to assess their fit within a collaborative team environment. The project diversity suggests a broad interest in various data science applications, from Kaggle competitions to full-stack LLM applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed individual, but there is no information on teamwork, communication style, or problem-solving approaches in a collaborative environment.