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Bhushan Patil

@bhushanpatil

Associate Data Scientist at INNODATATICS

Bengaluru, India

https://www.linkedin.com/in/bhushan-patil

INNODATATICSVTU, Jain College of Engineering Belagavi, India

Bhushan Patil is an Associate Data Scientist with experience in implementing CRISP-DM frameworks and building predictive models. He is proficient in Python, SQL, and various machine learning techniques, including Ensemble Models and Deep Learning. His expertise spans data analysis, ETL processes, and creating data-driven insights using tools like Power BI and Tableau.

Experience

Associate Data Scientist

INNODATATICS

•Sep 2022 - Present•Bengaluru, India

CRISP-DM(Q) framework end-to-end Implementation to provide Business Solutions. Conducted data analysis and built predictive models using Python and machine learning algorithms, resulting in improved business outcomes. Utilized MySQL to extract, transform, and load large datasets from various sources into data warehouses for analysis. Worked collaboratively with cross-functional teams, including product, engineering, and business units, to identify opportunities for improvement and optimize performance.

Process Associate

Genpact

•Jun 2021 - Aug 2022•Hyderabad, India

Building Dashboards and reports in BI Tools like Power BI and Tableau for data-driven insights. Responsible for Negotiations - Driving Cost reduction Contact Negotiation. Good business process knowledge and capable of mapping business requirements to standard SAP processes. Perform master data updates and configuration changes in support of business requirements.

Education

VTU, Jain College of Engineering Belagavi, India

B.E.

Mechanical Engineering

Jun 2019

Licenses & Certifications

Certification course in Data Science

• No expiration

Python 101 for Data Science

IBM

• No expiration

Skills

Python
SQL
Data Science Pipeline
Statistics
Hypothesis Testing
Git
Docker
CI/CD Pipeline
MySQL
Tableau
Power BI
Advanced Excel
AWS
ETL
ChatGPT
Regression
Classification
Decision Tree
Ensemble Techniques
Forecasting
Deep Learning