About
Data Scientist (Contractor) with 1 year of hands-on experience applying statistics and predictive modelling to complex datasets. Proficient in Python for EDA, feature engineering, and model development. Hands-on with Generative AI tooling including LangChain, LangGraph, RAG pipelines, and CrewAI for building intelligent data workflows. Proven ability to build and deploy end-to-end data pipelines that deliver actionable business insights. Oracle Cloud Infrastructure Data Science Certified.
Skills & Expertise (33)
Work Experience
Data Scientist
AIGenius LLP
Jun 2024 - Present
Collected, cleaned, and preprocessed 50,000+ records from diverse structured datasets — reducing data quality issues by ~30% through handling of missing values, outliers, and type inconsistencies. Conducted in-depth EDA across 6+ projects using Python (Pandas, NumPy, Matplotlib, Seaborn), identifying trends and business opportunities that shaped model design decisions. Developed and validated predictive models (Random Forest, XGBoost, linear/logistic regression), improving prediction accuracy by 22% (RMSE: 8.4 → 6.5) via cross-validation and hyperparameter tuning. Delivered 10+ stakeholder presentations with Matplotlib/Seaborn dashboards tailored for technical and non-technical audiences, driving data-informed decisions. Built reusable Python scripts and automated data pipelines, reducing manual preprocessing time by 40% and improving workflow reproducibility. Deployed predictive models into production via REST APIs (Flask) on Oracle Cloud Infrastructure with ongoing performance monitoring.
Education
B.Tech in Electronics & Computer Engineering - Maharashtra Institute of Technology
2022 - 2026 · Afghanistan
Certifications
Oracle Cloud Infrastructure Data Science Professional
· 2025
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Skills (33)
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