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Lead Automation Engineer with 9+ years in Automation Testing & Machine Learning
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Assessing your cultural and operational fit
Highly skilled QC Module Lead and Machine Learning Engineer with 9.8 years of experience in automation testing, Python, and data science. Proven ability to lead quality control initiatives, design automated testing pipelines using Robot Framework, and develop machine learning models. Adept at streamlining processes, reducing defects, and implementing enterprise-wide automation adoption, significantly enhancing efficiency and quality in software and data science projects.
Jain University
M.Tech · VLSI
August 1, 2012 – June 30, 2015
SRSIT
B.E · Electronics & Communication
August 1, 2009 – June 30, 2012
Samsung
QC Module Lead
January 1, 2023 – Present
India
Tata Consultancy Services (TCS)
Machine Learning Engineer
January 1, 2021 – December 31, 2023
India
Tata Consultancy Services (TCS)
Functional Tester
January 1, 2018 – December 31, 2021
India
IRIZ ID Technologies Pvt. Ltd
Functional Tester
January 1, 2016 – December 31, 2018
India
Loan Amount Prediction
January 1, 2021 – December 31, 2023
Developed an ML model to predict max loan amounts using Python, Scikit-learn, and Pandas. Performed data cleaning, outlier removal, and feature engineering on 10k+ rows of historical data. Validated models using precision, recall, and F1-score; deployed best-performing model (Random Forest).
Loan Eligibility System
January 1, 2021 – December 31, 2023
Built a binary classification model (Logistic Regression/SVM) to determine loan eligibility. Automated data preprocessing workflows, reducing manual effort by 40%. Saved models using Joblib for seamless integration into production systems.
Machine Learning Specialization
TCS
June 1, 2026 – Present
Automation Testing with Robot Framework
Udemy
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's diverse project experience across banking, telecom, and security systems, coupled with roles ranging from functional tester to ML engineer and QC Module Lead, suggests adaptability and a broad understanding of different technical environments. The focus on automation and process improvement aligns with a culture valuing efficiency and innovation. The progression through roles at TCS and Samsung indicates a commitment to career growth and taking on increasing responsibilities.
Soft Skills & Operational Fit
The candidate's experience as a QC Module Lead at Samsung and previous roles at TCS indicate strong leadership potential, cross-functional team collaboration, and a focus on streamlining processes and reducing defects. These align well with the operational demands of a senior automation role. The descriptions suggest a results-oriented individual capable of driving automation adoption.