Yogesh Patil

Data Scientist @ Cotiviti

About

Data Scientist with experience in building end-to-end analytics and machine learning solutions in healthcare and financial domains. Currently working at Cotiviti, supporting large U.S. insurance clients with data-driven insights that influence strategic and operational decisions. My interests lie in solving real business problems using machine learning, clean data pipelines, and well-designed KPIs — not just building models, but making them useful. Skills: Python, SQL, Machine Learning, Time Series Analysis, Feature Engineering, Power BI, Tableau Always open to discussions around data science, analytics, and impactful problem-solving. Feel free to reach out for suggestions or contact me at yogeshpatil18999@gmail.com or +91 9579563457

Country

India

City

Pune

Industry

Information Technology & Services

Skill

Flask, k-means clustering, Classification, GPT-4, Feature Engineering, Replit, Data Science, Jupyter, Machine Learning, Project Management, HTML, Cascading Style Sheets (CSS), JavaScript, Statistical Data Analysis, Customer Support, Strategy, Communication, SAP BusinessObjects, Hive, Hue

Experience

Data Scientist

Cotiviti

2024-2 - Present · 2 yrs 8 mos

India

- Primary analytics point of contact for two large U.S. insurance clients, delivering end-to-end analytics and financial insights. - Analyzed large-scale claims and financial datasets using Python and SQL (Hive, Impala, Oracle) to support invoicing, operational reviews, and decision-making. - Built an automated Python-based data pipeline with feature engineering and classification models, contributing to ~$2M in annualized savings (2024). - Developed anomaly detection frameworks using time-series analysis, improving issue detection lead time by 30–45%. - Designed Power BI dashboards and recurring tracking processes, reducing outstanding claims by ~13%.

Associate Analyst - Product and Platform Engineering

Altimetrik

2021-9 - 2022-9 · 1 yr 1 mo

India

- Enhanced KPIs for the TARA project (ReportPortal extension), improving accuracy and visibility by ~25%. - Applied K-Means clustering to group workflows and identify inefficiencies in performance metrics.

Intern

Pavnai Info Solutions

2020-8 - 2021-8 · 1 yr 1 mo

Pimpri Chinchwad, Maharashtra, India

Education

Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Computer Science

2017-8 - 2021-7 · 4 yrs

I've been challenged to think critically, communicate effectively, and collaborate with others to solve complex problems. Through hands-on projects, and some inner and outer college activities, I've gained valuable experience and built a strong foundation for my future career.