Detail-oriented systems engineer with 3.5 years of work experience in machine learning and software development. The candidate possesses in-depth knowledge of machine learning and deep learning algorithms, along with mathematics and statistics. They are accomplished in solving real-world business problems, developing highly adaptive services, and managing complex infrastructure migrations.
Experience
Data Scientist
TCS
Conceptualized, engineered and implemented the classification of customer incidents using natural language processing techniques, achieving a precision of 98%. Developed a daily pipeline using pandas and numpy for comparing data from two system files. Implemented the end-to-end flow for resolving incidents, reducing MTTR from 6 hrs to 12 min. Detected system failure before customer incident by spearheading end-to-end process automation for application with 4.7 million users. Prepared multiple dashboards for application/infrastructure monitoring using AWS Cloudwatch. Mentored 1 trainee in data science and process automation with python. Saved $350/month by scrutinizing a flow which was malfunctioned and revamping it. Collaborated with third-party for migration from onprem servers to AWS cloud for 15+ APIs. Saved $300 by remodelling the process architecture using AWS SQS. Managed, monitored and upgraded code for 70+ APIs deployed on AWS APIG. Supervised 2 trainees in AWS and node for application monitoring and backend development.
Backend Engineer
TCS
Education
Mumbai University
Bachelors of Technology
Licenses & Certifications
AWS Developer Associate
Machine Learning with Python
Data Science Methodology
Linear Algebra for Analysis