Swastika Gupta
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product Developer | Technical Experts and Support | Expertise in Python, Data Science, Kubernetes & AI | Proven Troubleshooter & Innovator
A dedicated Product Developer with over six months of hands-on experience in the dynamic domain of product development, specializing in the Product TES (Testing, Evaluation, and Support) team. Proficient in a wide array of technical tools and languages including Python, Data Science, Kubernetes, Docker, Linux, ElasticSearch, Git Bash, and AI, effectively leveraging this skill set to drive innovation and streamline development processes. With a strong focus on problem-solving and troubleshooting, adept at resolving product-related issues swiftly and efficiently. Skilled in product management, adeptly handling tasks such as requirements gathering, feature prioritization, and release planning. Known for exemplary ticket troubleshooting skills, ensuring high levels of customer satisfaction. Committed to continuous learning and staying updated with emerging technologies to enhance product development endeavors.
University of Engineering & Management - Jaipur
Bachelor of Technology - BTech
July 1, 2019 – May 1, 2023
University of Engineering & Management - Jaipur
Bachelor of Technology - BTech, Electrical and Electronics Engineering
January 1, 2019 – January 1, 2023
TCG Digital
Product Developer
August 1, 2023 – Present
Kolkata, West Bengal, India · On-site
Cultural Fit Analysis
The candidate's experience as a Product Developer at TCG Digital, with a focus on product TES (Testing, Evaluation, and Support), aligns partially with an ML Engineer role, particularly in the deployment and operational aspects (Kubernetes, Docker, Linux, AI). However, the primary focus on product development and support rather than core ML model development, research, or advanced algorithm design suggests a potential gap in direct cultural fit for a pure ML Engineer role. The breadth of skills (Python, Data Science, AI) is relevant, but the depth in specific ML engineering practices is not explicitly detailed. The lack of projects makes it difficult to assess diversity and specific ML contributions.
Soft Skills & Operational Fit
The candidate's description highlights a commitment to continuous learning and staying updated with emerging technologies, indicating a proactive attitude. Adept at resolving product-related issues swiftly and efficiently, suggesting strong problem-solving and operational skills. Exemplary ticket troubleshooting skills point to good customer satisfaction focus.