About
Work
Volvo Cars, India Tech Hub
|Business Analyst Intern
Highlights
Analyzed supply chain data using SQL to identify bottlenecks, improving outbound logistics efficiency by 10%.
Designed Power BI dashboards to visualize KPIs, enabling real-time decision-making for key stakeholders.
Automated reporting workflows to reduce manual effort by 40% and enhance data accuracy.
Utilized IBM Maximo for asset management and planning, improving coordination between logistics and maintenance teams.
COE Toyota and Morris Garage
|Intern
Highlights
Collaborated with Toyota and MG workshops to optimize vehicle diagnostics and service procedures, developing a predictive maintenance model in Power BI that reduced downtime by 30%.
item Applied Kaizen and Six Sigma principles to enhance maintenance processes and uphold high-quality standards in vehicle repair and service.
Volunteer
Agastya, GDSC RVCE
|Volunteer
Highlights
participated in Social Welfare Events like Paper Drive, Utsarga, Akshara, and Plantation Drive.
Education
R.V College of Engineering
→
Bachelor of Engineering
Mechanical Engineering
Grade: 7.6
St Joseph's Pre-University College
→
Grade: 84.33
Awards
Gold Medal in Ideathon Event
Awarded By
Mechanical Department
Elite certificate
Awarded By
NPTEL
successful completion of course 'Design Technology and Innovation'
Skills
Languages
Python, C++.
Libraries
Numpy, Pandas, Matplotlib.
Tools
GIT, MySQL.
Platforms
Windows, Arduino, NodeMCU.
Core
Operation Research and management, Supply Chain analytics, Product Life cycle.
Other Technologies
Data Analytics, Excel, Power BI, SolidWorks, ANSYS, CNC Training, Machine Learning, IoT.
Projects
Metal Defects Prediction
Summary
Predicted surface metal defects using image inputs by training a supervised learning model on various defect types, enabling accurate predictions up to 90% for different user inputs. The model was trained on labeled datasets, allowing it to classify and identify defects based on new image data.
eCommerce Insights
Summary
Analyzed eCommerce data to extract meaningful insights on customer behavior and sales trends, helping to drive better decision-making. Developed detailed visualizations that improved data interpretation, enabling stakeholders to quickly understand complex patterns and relationships.