Divy Pandya
Data Scientist at Turing
- Role
- Data Scientist ll at Turing
- Location
- Udaipur, RJ, IN
- LinkedIn followers
- 500 followers
About Divy Pandya
I am a seasoned ML Engineer with over 3 years of experience in the tech industry, specializing in Machine Learning, Data Science, and software development. I currently lead data science initiatives at Turing.com, where I\'ve spearheaded projects like Gemini Advanced and Auto-Shortlist, enhancing model evaluations and developer job-matching processes.My technical expertise spans Python, C/C++, and various frameworks such as FastAPI, Flask, PyTorch, and TensorFlow. I have extensive experience with Docker, Kubeflow, GCP, and other cutting-edge technologies.Previously, I have contributed to impactful projects at Vehant Technologies and Siemens, where I developed advanced video analytics and NLP solutions. I am also actively involved in the tech community as a mentor for TensorFlow.org during Google Code-In 2019.I thrive in dynamic environments and am passionate about using technology to solve complex problems and improve business outcomes.
Experience
Data Scientist ll
May 2023 — Present · Bengaluru, IN
Google Gemini- Led a team on Gemini Advanced to create sophisticated datasets for the SFT and model evaluation for RLHF- Shipped the fixes related to ”Altair” in the Gemini Advanced that improved the charts in the model output.Supply Sufficiency- Developed a new system to measure the adequacy of available developers for job openings, considering various factors affecting their matchability- Created an ETL pipeline to calculate the supply sufficiency for all active jobs, enhancing resource allocation by accurately identifying jobs with insufficient developer supply- Improved SLA (Service Level Agreement) adherence by 10 percentage points through better identification and allocation of resources.Auto-Shortlist- Launched the Auto-Shortlist feature recommending the best developer profiles for a job- This increased the rate of ”interviewed” to ”chosen” by 50%.Ranking Features Library Implementation- Updated the schema of the ranking features repository to support dynamic feature extraction- Improved the ease and flexibility of implementing new features, facilitating more efficient and dynamic data processing for ranking utilities.
Education
Indian Institute of Information Technology Vadodara
Bachelor of Technology, Computer Science
2017 — 2021
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