Data Science with 2+ years in AI, NLP & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Scientist with a proven track record in developing end-to-end OCR-based document intelligence pipelines and Retrieval-Augmented Generation (RAG) systems. Proficient in Python, Django, and a wide array of AI/ML technologies including LLM, NLP, and vector databases. Strong background in optimizing data processing workflows, improving reporting efficiency, and translating business requirements into data-driven solutions. Committed to leveraging data science for impactful business outcomes and enhancing user experiences through interactive platforms.
NMIMS MPSTME, Mumbai
Master's of Technology · Artificial Intelligence
N/A – Present
NMIMS MPSTME, Mumbai
Bachelor's of Technology · Mechatronics
N/A – June 30, 2023
Zydus Lifesciences
Data Scientist (AM)
November 1, 2023 – Present
Ahmedabad, Gujarat, India
DHL
Summer Trainee
December 1, 2022 – June 1, 2023
Mumbai, Maharashtra, India
Sun Pharma
Supply Chain Analyst Intern
May 1, 2022 – June 1, 2022
Mumbai, Maharashtra, India
Exylox – Interactive AI Portfolio Platform
January 1, 2022 – June 1, 2026
Built an interactive portfolio platform using Next.js and React to showcase AI projects with a focus on performance, design, and user experience.
Cultural Fit Analysis
The candidate's project diversity, including a personal portfolio platform and publications, indicates initiative and a passion for the field beyond their primary roles. Their experience across different industries (pharmaceuticals, logistics) and roles (Data Scientist, Summer Trainee, Supply Chain Analyst Intern) suggests adaptability and a broad perspective. The target role of Data Science aligns well with their current experience and educational background, indicating a focused career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in optimizing data extraction and retrieval processes. Their experience in collaborating with cross-functional teams at DHL and deploying systems for internal teams at Zydus Lifesciences indicates good operational fit and teamwork capabilities. The focus on measurable outcomes (e.g., 15% accuracy improvement, 6 days reduction in effort) suggests a results-oriented approach.