Harshita D. is a highly skilled and innovative Senior Data Scientist with 8 years of experience in leveraging machine learning, artificial intelligence, and advanced analytics to solve complex business problems. She possesses a strong background in developing and deploying predictive models, natural language processing (NLP) solutions, and computer vision applications across various industries including tech, e-commerce, and healthcare. Harshita is passionate about translating data-driven insights into actionable strategies that drive growth and efficiency. She is proficient in Python, R, SQL, and various ML frameworks like TensorFlow and PyTorch, and is adept at communicating technical findings to both technical and non-technical stakeholders. She is a proactive learner, constantly exploring new technologies and methodologies in the AI landscape.
Harshita D's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led a team to design and implement an ML-based fraud detection system for a major financial services client, reducing fraudulent transactions by 22% and saving an estimated $1.5M annually. The system received an internal 'Innovation Excellence Award'.
Co-authored a research paper on 'Context-Aware Sentiment Analysis using Transformer Models for Low-Resource Languages,' which was accepted and presented at the prestigious International Conference on Computational Linguistics (COLING).
Re-architected and optimized a collaborative filtering based recommendation engine for an e-commerce platform, resulting in a 15% increase in click-through rates and a 10% uplift in average order value.
Invited speaker at multiple national and international tech conferences, sharing insights on topics such as 'Ethical AI Implementation' and 'Scaling Machine Learning Models in Production'.
Educatis University, EABS - Year 2009
EXIN - Year 2012
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