sadik Kureshi
@sadikkureshi
Data Scientist and GenAI practitioner delivering fraud detection and predictive analytics with measurable business impact.
What I'm looking for
I’m an AI/ML professional with cross-functional industry experience and hands-on expertise in machine learning and GenAI. I leverage Python, SQL, and scikit-learn to build production-ready models, including ensemble approaches for healthcare fraud detection.
At Fractal Analytics, I developed XGBoost and LightGBM fraud models achieving 95% precision while processing 2M+ claims monthly, and I built end-to-end ML pipelines for 2.5GB datasets. I’ve also delivered business outcomes like $15M annual savings and a 23% reduction in crop failure, while engineering 150+ features using techniques like SMOTE and NLP modeling (up to 95% accuracy). I’m especially excited by GenAI work such as RAG with LangChain and vector databases, and I want to keep solving real-world business challenges in a collaborative, cross-functional environment.
Experience
Work history, roles, and key accomplishments
Data Scientist
Fractal Analytics
Aug 2023 - Present (2 years 11 months)
Developed ensemble ML models for healthcare fraud detection, achieving 95% precision and processing 2M+ claims monthly. Built end-to-end ML pipelines for 2.5GB datasets and delivered $15M annual savings plus a 23% reduction in crop failure via predictive analytics.
Plant In-Charge Technical Officer
Multiple Companies
Jul 2018 - Jul 2023 (5 years)
Worked across production operations and plant/site management roles across three companies, gaining cross-industry exposure and process optimization skills over five years.
Education
Degrees, certifications, and relevant coursework
Kavayitri Bahinabai Chaudhari North Maharashtra University
Bachelor of Engineering (B.E.), Engineering
Grade: CGPA: 8.48/10.0
Earned a Bachelor of Engineering (B.E.) from Kavayitri Bahinabai Chaudhari North Maharashtra University in 2018, achieving CGPA 8.48/10.0.
Maharashtra State Board of Technical Education (MSBTE)
Diploma in Mechanical Engineering, Mechanical Engineering
Grade: 77%
Completed a Diploma in Mechanical Engineering from MSBTE in 2015, scoring 77%.
Availability
Location
Authorized to work in
Job categories
Skills
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