Experience

Corma - (Future 40 @ Station F)

September 2024 - Present

Foundational Data Scientist/Machine Learning Engineer - NLP

  • As a Data Science Intern at Corma, I’ve had the opportunity to lead projects that blend cutting-edge NLP methodologies with strategic innovation. Here’s a snapshot of my key achievements:
  • Innovative OCR Engine: Developed an advanced Optical Character Recognition (OCR) tool using NLP and LLMs. This engine transformed the processing of complex documents (invoices, contracts) by automating data extraction, boosting accuracy, and minimizing manual workload.
  • Custom Analytics Dashboard: Crafted a dynamic, user-centric SaaS management dashboard that visualizes key performance metrics, empowering stakeholders with actionable insights for strategic decisions and resource optimization.
  • Collaborative POC Development: Participated in cross-disciplinary brainstorming and technical review sessions, contributing valuable perspectives to shape IT governance and SaaS management proofs of concept (POCs).
  • AI Multi-Label Classification: Successfully led AI-driven multi-label classification project, mastering project timelines and delivery. Handled all stages from data preparation and model training to performance tuning, ensuring accuracy and scalability.
  • Personalized AI Chatbot: Engineered an intelligent chatbot designed for personalized user engagement. Leveraged NLP to enable meaningful, context-aware conversations, enhancing user satisfaction through tailored query responses.
  • Takeaways: My time at Corma has not only deepened my technical proficiency in NLP and data science but also refined my ability to lead projects, collaborate effectively, and navigate the fast-paced demands of an innovative tech environment.

Equanimity

August 2023 - Feburary 2024

Machine Learning Engineer - NLP

  • Designed and implemented data science Proof of Concept (POC) from scratch, including the development of ML models and a database framework for Crisis and Information Extraction & prediction using Python, SQL, and NLP techniques.
  • Actively contributed to all phases of the internship project. Played a pivotal role in brainstorming sessions, literature reviews, and collaboratively defining project objectives during the Introduction into POC.
  • Demonstrated a high level of commitment to meeting deadlines. Meticulous planning and adherence to timelines were evident during the implementation of AI Crisis Classification, Text summarization with Topic Modeling, and documentation.
  • Aligned seamlessly with Equanimity's operational needs in addressing deviations. Utilized Notion for tracking daily and weekly objectives and Sprint Planning, showcasing adaptability and flexibility.
  • Contributed to the development of a robust Business Intelligence (BI) dashboard and MLOps pipeline for crisis management.
  • Displayed proactive approach, adaptability, and commitment to the success of the Equanimity internship, spanning all organizational aspects.

Skoruz Technologies Pvt. Ltd.

June 2020 - May 2022

Associate Data Scientist

  • Developed and implemented data science solutions for SME Bank, specializing in predictive modeling, statistical analysis, and NLP/text processing.
  • Created a robust Non-Performing Assets (NPA) prediction system using Python, SQL, and NLP techniques, optimizing loan portfolio management and profitability.
  • Contributed to the design and development of CAPTON AI Banking product and SAFEO AI Computer Vision Healthcare Product.
  • Utilized skills in predictive modeling, statistical analysis, recommendation systems, web scraping, image processing, computer vision, video analytics, and NLP.
  • Implemented improvements to product efficiency by 30% through bug fixing and the implementation of a new product architecture.