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sushant__sharma

Sushant Sharma

@sushant__sharma

Data Scientist, AI Engineer

India
English, Hindi
About me
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.... Read more

Skills

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sushant__sharma
Sushant Sharma
Offline • 
Average response time: 14 hours

See my services

Natural Language Processing
I will extract structured data from text using nlp and python
From$90 / projectMore details
Data Cleaning
I will clean preprocess and transform your data using python
From$15 / projectMore details

Work experience

Fiverr

Data Science Consultant

Fiverr • Freelance

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

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.