AI Engineer with 1+ years in RPA, transitioning into AI/ML and Data Science.
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Assessing your cultural and operational fit
RPA Developer with ~1.3 years of experience in automation and data handling, now transitioning into AI/ML and Data Science. Strong foundation in Python, Machine Learning, and data analysis with hands-on project experience. Completed structured upskilling through IBM Data Science certification and AI/ML training. Passionate about building intelligent, data-driven solutions and seeking opportunities in AI, ML, and data-related roles.
Christu Jyothi Institute of Technology and Sciences
B.Tech · Computer Science Engineering
N/A – June 30, 2021
Shore Infotech India Pvt Ltd
Data Automation Engineer
March 1, 2022 – June 1, 2023
Telangana, India
Mercedes-Benz Greener Manufacturing (Regression)
June 18, 2026 – Present
Developed regression model to predict manufacturing test time. Applied feature engineering and dimensionality reduction (PCA). Used cross-validation and evaluated performance using RMSE and R².
View ProjectEmployee Turnover Prediction (Classification)
June 18, 2026 – Present
Developed classification model to predict employee attrition. Performed EDA to identify key influencing factors. Applied multiple ML algorithms and evaluation metrics.
View ProjectSong Clustering & Recommendation (Unsupervised Learning)
June 18, 2026 – Present
Implemented K-Means clustering to group songs based on features. Used PCA/t-SNE for dimensionality reduction and visualization. Analyzed clusters for recommendation insights.
Machine Learning with Python (Internship – Robokalam & SRFGSS)
Robokalam & SRFGSS
June 1, 2026 – Present
AI Engineer Program - Simplilearn (In Progress) (Includes Deep Learning, Generative AI, ML, Applied Data Science)
Simplilearn
June 1, 2026 – Present
Machine Learning using Python
Simplilearn
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM
January 1, 2023 – Present
AI/ML Engineer Program
Simplilearn
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong interest in transitioning into AI/ML and Data Science, aligning with roles focused on innovation and data-driven solutions. Their diverse personal projects (regression, classification, clustering) indicate a breadth of interest in different ML paradigms. The continuous pursuit of certifications and self-learning aligns with a culture of continuous improvement. However, the professional experience is primarily in RPA, which is a different domain, and the transition to a dedicated AI Engineer role would require significant growth.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with cross-functional teams in their previous role, suggesting an ability to work in a team environment. The pursuit of multiple certifications and self-driven projects demonstrates initiative and a proactive approach to learning. However, the resume does not provide specific examples of problem-solving under pressure or adaptability in dynamic environments, which are crucial for senior roles.