Rahul Rajput

Data Analyst| Cyient limited · Bengaluru, Karnataka, India

Reliability Engineer, experience in designing, implementing, and maintaining reliable systems and processes to ensure optimal performance and longevity. Adapt to using various testing and analytical tools to identify and resolve issues, and proficient with collaborating with cross-functional teams to improve overall system reliability. Committed to continuous improvement and staying current with industry advancement in reliability engineering

Experience

Reliability and data analyst

Cyient · Nov 2022 – Present

Not yet confirmed

• .
• Imported, cleaned, and transformed large datasets using SQL and Python to ensure data integrity and support business analytics.
• •Designed and maintained scalable ETL pipelines in Azure Data Factory and Azure Synapse, ensuring reliable and efficient data workflows across departments.
• • Applied K-Means clustering to group engine components based on operational behaviour and implemented Isolation Forest for anomaly detection, enabling an early warning system that reduced unexpected failures by 15% and improved maintenance decision-making efficiency by 20%.
• • Extracted, cleaned, and analysed large-scale structured and semi-structured datasets using advanced SQL to support strategic decision-making.
• • Utilized SQL to analyze incident logs, flight data, and maintenance records to identify failure trends across aircraft components; developed Power BI dashboards to present vendor-specific performance insights, enabling a supplier intervention that reduced failure rates by over 20%.
• • Built and optimized interactive dashboards in Power BI to visualize key business metrics, enabling faster decision making and stakeholder alignment.
• • Utilized Excel (Pivot Tables, VLOOKUP, advanced formulas) for data reporting and ad hoc analysis, supplementing BI dashboards.
• • Used Python libraries (Pandas, NumPy, Scikit-learn) for in-depth exploratory analysis and model development.

U

Data Scientist

UST · Jan 2022 – Jun 2022

Not yet confirmed

• 1.
• Developed and deployed YOLO v4 for high accuracy real time object detection, optimizing for speed and precision in a dynamic environment.
• 2.
• Integrated deep sort for robust multi object tracking, enblabling continuous identification of object across video streams.
• 3.
• Assisted in data collection and annotation process for training models, ensuring high quality datasets for effective model performance.
• 4.Conducted end-to-end model lifecycle tasks: data preprocessing, augmentation, annotation, training, validation, and
• fine-tuning.
• 5.
• Applied evaluation metrics such as mAP, IOU, and F1-score to assess model accuracy and optimize hyperparameters.

B

Graduate Teaching Assistant

BITS Pilani, Hyderabad Campus · Nov 2020 – Jan 2022

Not yet confirmed

• Assisted and delivered experimental procedures to students in the engineering drawing lab
• proctored and conducted lab assessments and viva voce
• Evaluated the classroom assessments and assignments for the Engineering drawing course.