Personal details

Shaurya U. - Remote data scientist

Shaurya U.

Based in: 🇼🇳 India
Timezone: New Delhi (UTC+5.5)

Summary

I am a data scientist who has experience working with burgeoning companies like Siam Makro, Glance (Inmobi Group), EpiFi, and Tata 1mg.
I also have worked with different companies e.g. InterviewBit, Dezyre, and, RateCity as a research data science consultant.

My Domain Expertise is in Fintech, Edtech, and Ecommerce where I have built: recommendation engines, time-series forecasting models, product data science, natural language processing, etc.

I have a bias for action, solution-oriented, and have a good track record in communicating with stakeholders and establishing credibility. My role involves deciphering heaps of data, analyzing it, churning out meaningful insights from the data, and assisting stakeholders to make data-driven decisions.

I have experience in developing end-to-end data science models helping companies move business metrics. I constantly learn new things and explore new realms of data science.

Work Experience

Lead Data Scientist
Siam Makro | Jun 2023 - Present
SQL
Pandas
Python 3
Apache Spark
Largest Thailand Wholesaler
Data Science - Research Consultant
ProjectPro | Apr 2020 - Present
SQL
Pandas
Machine Learning
Python 3
Data Science
NLP (Natural Language Processing)
Graph Database
Apache Spark
Recommender Systems
ProjectPro (Formerly DeZyre) Subject Matter Expert - Data Scientist (Consultant) Created top-notch research-driven quality courses, which show my ability to study, learn, communicate, carry out research in a subject, and representation skills in the Data Science field. My published courses are below: [1] Ecommerce product reviews - Pairwise ranking and sentiment analysis URL: https://www.projectpro.io/project-use-case/ecommerce-product-reviews-ranking-sentiment-analysis [2] Demand prediction of driver availability using multistep time series analysis URL: https://www.projectpro.io/project-use-case/demand-prediction-time-series [3] Ola Ride Request Demand Forecast URL: https://www.projectpro.io/project-use-case/ola-bike-rides-request-demand-forecast [4] Building a Graph Based Recommendation System: https://www.projectpro.io/project-use-case/graph-based-recommendation-system-python [5] Deepwalk and Node2vec Graph Recommendation at E-commerce: https://www.projectpro.io/project-use-case/graph-based-recommendation-system-python-for-ecommerce

Personal Projects

Pairwise Ranking of Reviews by RelevanceIconOpenNewWindows
2019
Python 3
NLP (Natural Language Processing)
Recommender Systems
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
Building a User-Creator Affinity Model with Graphs on a Short Video PlatformIconOpenNewWindows
2022
Python 3
NLP (Natural Language Processing)
GraphQL
Recommender Systems
Build a recommendation system that recommends the creator's short video content based on the user's affinity.