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Sushant Sharma
@sushant__sharma
Data Scientist, AI Engineer
Indien
Englisch, Hindi
Über mich
I am a Data Science professional with 6.5 years of experience in building data-driven solutions using Machine Learning, NLP, and Generative AI. I am experienced in Data Analysis and developing end-to-end ML pipelines and predictive models.
Kompetenzen
Sushant Sharma
offline •
Durchschnittliche Antwortzeit: 14 Stunden
Meine Dienstleistungen
Natural Language Processing
I will extract structured data from text using nlp and python
Datenbereinigung
I will clean preprocess and transform your data using python
Arbeitserfahrung
Data Science Consultant
Fiverr • Freiberufler
Sep 2024 - Present • 1 yr 8 mos
Developed a machine learning pipeline to predict missing attribute values across multiple fields in a large-scale retail dataset, improving product data completeness and consistency. Applied Natural Language Processing (NLP) techniques to process and normalize textual product information across diverse retail domains. Utilized SpaCy transformer-based models to generate contextual embeddings for product titles and descriptions to enhance attribute prediction accuracy. Implemented multiple statistical scoring and ranking techniques to evaluate candidate attribute values and improve prediction reliability.
Infosys
3 yrs 4 mos
Senior Analyst: Data Science
Apr 2022 - Sep 2024 • 2 yrs 5 mos
Developed Python-based recommendation system utilizing machine learning techniques for personalized content recommendations. Analyzed user behavior data and past history using Unsupervised techniques to enhance customer retention and loyalty. Designed algorithms to understand user preferences and interests based on their reading history. Utilized NLP algorithms to analyze the content consumed by users. Implemented Flask framework for web application deployment.
Analyst: Data Science
Apr 2021 - Mar 2022 • 11 mos
Developed a model using Python and scikit-learn to predict potential customers likely to utilize newly launched service. Utilized machine learning (ML) algorithms such as Decision Trees, Random Forests, and Gradient Boosting to build the predictive model. Conducted thorough analysis of various dimensions of user data to extract meaningful insights, facilitating informed business decisions. Executed end-to-end process flow encompassing data acquisition, cleaning, preprocessing, and analysis.
