Shaurya Uppal

About Shaurya Uppal

Are you looking for a seasoned Data Scientist to drive your business decisions with data-driven insights? If so, please DM me! As an experienced Data Scientist, I excel at leveraging data to drive informed business decisions. My expertise lies in analyzing and interpreting large datasets to provide valuable insights to stakeholders. I am a solution-oriented individual with a bias for action, known for establishing credibility and communicating effectively. In my most recent role Makro, I worked with LLMs to build a Life Stage Segmentation Model. Previously at Roposo and Glance, I used data science techniques to identify creator personas, predict user-creator affinity, and rank live-stream commerce products. My efforts resulted in a 20% increase in conversion rates and LTV revenue, and I was awarded the Bond007 title. I hold multiple research papers and a Patent on Ads Personalisation. I have experience working with burgeoning startups and building from scratch. I have collaborated with Tata 1MG, Fi Money (epiFi), InMobi (Glance and Roposo), InterviewBit (now Scaler), ProjectPro (formerly Dezyre), and RateCity in various capacities, both full-time and freelance. My expertise includes building end-to-end data science models, with a particular emphasis on recommendation systems, forecasting, ranking, natural language processing, statistical machine learning, and model architecture design. I\'m knowledgeable in data science architecture design, experimentation, and databases. I am fluent in Python and C++ programming languages, as well as machine learning techniques such as supervised, unsupervised, semi-supervised, and reinforcement learning. I have worked in FinTech, Retail, Adtech, Entertainment, and RideHailing, giving me extensive exposure to problem-solving with data science. I also write about my experiences in my newsletters (check the featured section of my Profile). I believe my experience in using Data Science as a tool in a user-first approach makes me well-suited for any user-centric company. My skill set also includes knowledge of data science libraries like Pandas, PySpark, Numpy, Scikit-learn, Xgboost, and TensorFlow, as well as version control tools like DVC and Git. I am an open-source contributor to many data science tools. If you\'d like to discuss how my data-driven approach can benefit your company, please contact me on LinkedIn or by email at

Experience

1. Lead Data Scientist

   Cp Axtra Makro

   Jun 2023 — Present · Bangkok, TH

   Thailand\'s largest Wholesaler Collaborated on enhancing New Customer Identification for HORECA stores by leveraging an Address Matching Algorithm, alongside integration with Google Maps and internal databases to discern whether a customer is new or existing. Developed Customer Life Stage Segmentation utilizing LLMs, discerning distinct life stages to tailor products accordingly. Leveraged historical transaction data to categorize users into life stages such as Family with Kids, Family with Babies, Family with Elders, Singles or Couples, and Large Joint Families.Worked on Ideating Multi-Lingual Thai language and English search engine algorithmWorked on similar products recommendation with Graph Neural Networks

Education

• Mount Carmel School, Anand Niketan

  HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES

• Georgia Institute of Technology

  Master's degree

  2023 — 2025

• Jaypee Institute of Information Technology

  Bachelor of Technology - BTech (Honours)