Shaurya Uppal

Shaurya Uppal

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ABOUT ME
Lead Data Scientist | Research Consultant | Product Strategist
Lead Data Scientist | Research Consultant | Product Strategist

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.

Hindi, English
New Delhi (+05:30)
Joined August 2022
EXPERTISE
5 years experience
5 years experience
5 years experience
5 years experience

REVIEWS FROM CLIENTS

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EMPLOYMENTS
Lead Data Scientist
Siam Makro
2023-06-01-Present
Largest Thailand Wholesaler
Largest Thailand Wholesaler
SQL
Pandas
Python 3
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SQL
Pandas
Python 3
Apache Spark
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Data Science - Research Consultant
ProjectPro
2020-04-01-Present
ProjectPro (Formerly DeZyre) Subject Matter Expert - Data Scientist (Consultant) Created top-notch research-driven quality courses, whic...
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
SQL
Pandas
Machine Learning
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SQL
Pandas
Machine Learning
Python 3
Data Science
NLP (Natural Language Processing)
Graph Database
Apache Spark
Recommender Systems
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Senior Data Scientist
InMobi (Glance)
2021-07-01-2023-06-01
I worked on two areas-Roposo (Short Video Entertainment and Commerce Platform) and Glance (LockScreen Entertainment and Awareness Platfor...
I worked on two areas-Roposo (Short Video Entertainment and Commerce Platform) and Glance (LockScreen Entertainment and Awareness Platform). Glance Roposo is a short-video entertainment and commerce platform. ▪️ Tier 2 Creators Persona Identification and Churn Prediction using K-Prototypes Clustering Algorithm on Creator Demographics Data and Engagement Activity. ▪️ User-Creator affinity identification using multi-criteria decision-making technique Topsis and graph algorithms (node2vec) on profile visit, follow, like, etc. This helped the platform provide a better recommendation for creator stories to users where user-creator affinity is high. ▪️ Gender Prediction: Imbalance Classification problem on behavioral features of the user; majority class is male and minority is female. Best Results: LightGBM + Undersampling technique EditedNearestNeighbour resulting in an AUC of 0.73 and an F1 Score of 0.69 ▪️ Live Stream Ranking of Commerce Product - Based on User-Creator Affinity computed using past interactions of the user with the creator. Glance Monetisation ▪️ For Ads targeting on LockScreen for different brands: finding Look-Alike User Segments ▪️ Capturing user's interest based on app install, improved one-click-install (OCI) by 38% on AUC score
SQL
Machine Learning
Statistics
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SQL
Machine Learning
Statistics
Python 3
Data Science
Recommender Systems
Apache Airflow
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PROJECTS
Pairwise Ranking of Reviews by RelevanceView Project
1MG
2019
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment ana...
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.
Python 3
NLP (Natural Language Processing)
Recommender Systems
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Python 3
NLP (Natural Language Processing)
Recommender Systems
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Building a User-Creator Affinity Model with Graphs on a Short Video PlatformView Project
Glance
2022
Build a recommendation system that recommends the creator's short video content based on the user's affinity.
Build a recommendation system that recommends the creator's short video content based on the user's affinity.
Python 3
NLP (Natural Language Processing)
GraphQL
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Python 3
NLP (Natural Language Processing)
GraphQL
Recommender Systems
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