BHUSHAN SALVI

[email protected] +91 9372621271
LinkedIn: https://www.linkedin.com/in/bhushan-salvi-a94a44121/

PROFESSIONAL SUMMARY

Dynamic Senior Power BI Engineer with a proven track record in ETL development, data visualization, and SQL, committed to transforming complex datasets into strategic insights that drive business growth. Spearheaded a cross-functional initiative that optimized project tracking processes, resulting in a 30% reduction in reporting time and a 25% increase in data accuracy. Adept at leveraging Azure technologies and Python to enhance workflow efficiency and automation. Eager to apply advanced data analytics skills to support strategic decision-making in a fast-paced, data-driven environment.

WORK EXPERIENCE

Senior Power Bi Engineer
03/2024 - Present
VESTAS , Chennai
Delivered daily automated dashboards ensuring 100% refresh accuracy for project tracking.
Designed and implemented analytics dashboards for Cost Control, Document Control, and Project Management, improving reporting visibility and stakeholder insights by 40%.
Optimized data ingestion workflows using Python, Pyspark, SQL Server, SAP BI, Azure Databricks & Snowflake reducing manual effort by 70%.
Partnered with global stakeholders to standardize reporting templates, improving business decision-making.
Spearheaded the creation of 10+ operational KPI dashboards using Azure Databricks, providing leadership with real time visibility into WTG project status, supporting strategic decision-making across APAC offshore projects.
Developed BI solutions for 7+ APAC offshore projects with capacities over 100MW, improving installation and commissioning performance by 15% through data-driven insights.
Business Analytics and Intelligence Specialist
03/2023 - 01/2024
THERMOFISHER SCIENTIFIC , Mumbai IN
Centralized data sources from SQL Server and Python into four Power BI dashboards, expediting data analysis by 40%.
Conducted data analysis using SQL and Python (Pandas, NumPy, Matplotlib), improving commercial insights and forecasting accuracy, leading to 27% revenue growth
Designed KPI-based dashboards used by senior leadership across APAC regions, enabling data-driven decisions.
Streamlined data workflows by automating data extraction, transformation, and loading (ETL) processes, saving few hours per week.
Technical Sales and Analyst
01/2020 - 07/2022
SOMAN ASSOCIATES , Mumbai IN
Visualized operational and sales data using interactive Power BI dashboards, SQL, Python, and MS Excel, focusing on high-value OEM customers to increase targeted sales by 21%
Created interactive Power BI dashboards and automated reports to track key performance metrics and operational insights.
Maintained strong relationships with existing OEM customers, ensuring high satisfaction and consistent business growth.
Technical Sales and Service Engineer
07/2017 - 12/2019
JONWAI MACHINARY
Generate new customers, maintaining old customers by generating business from them.
Troubleshooting of the machine in all the parameters like mechanical, electrical and hydraulic.
Machine health checkup.
Service Executive
03/2016 - 07/2017
CAPITAL CONTROLS
Led the operation of a water chlorination plant, successfully purifying over 1 million gallons of raw water daily through efficient filtration and chlorination processes.
Implemented a rigorous chlorine dosage protocol, ensuring a consistent addition of 50 kg of chlorine per hour, resulting in a 20% improvement in water quality standards.
Maintained and optimized hydraulic machines, including RVR, chlorinators, and hydraulic pumps, reducing equipment downtime by 15% and enhancing operational efficiency.

EDUCATION

Post Graduation, Major in Data Science
09/2021 - 12/2022
IIIT BANGALORE
Bachelor of Engineering, Major in Mechanical
08/2012 - 06/2016
MUMBAI UNIVERSITY

SKILLS

PROJECTS

Credit Card Fraud Detection
Technologies: Random Forest, XGBoost, Decision Trees, Logistic Regression, Python, SMOTE
Developed a robust machine learning solution to predict fraudulent credit card transactions, addressing the critical need for enhanced security in financial transactions.
Leveraged advanced algorithms including Random Forest, XGBoost, Decision Trees, and Logistic Regression in Python, utilizing SMOTE to effectively manage imbalanced datasets with over 1 million transactions.
Achieved an impressive AUC score of 98.96%, resulting in a 30% reduction in false positives and significantly improving fraud detection rates, thereby enhancing user trust and reducing financial losses.
Churn Prediction
Technologies: Logistic Regression, Decision Tree Classifier, Random Forest, Python, Pandas, Scikit-learn, Feature Engineering, Data Preprocessing
Led a project aimed at reducing churn rates among high-value telecom customers by implementing predictive analytics to identify at-risk users.
Utilized a comprehensive tech stack including Logistic Regression, Decision Tree Classifier, and Random Forest, with a focus on feature engineering and data preprocessing to enhance model accuracy.
Achieved a final Random Forest Classifier with an AUC Score of 90%, resulting in a 25% reduction in churn rates, translating to an estimated $1.5 million in retained revenue annually.

CERTIFICATIONS

Green Belt Certification | Six Sigma Training Program

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