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Shaurya Uppal
Data Scientist | MS CS, Georgia Tech | AI, Python, SQL, GenAI | Inventor of Ads Personalization RecSys Patent | Makro | InMobi (Glance) | 1mg | Fi
Shaurya Uppal is a seasoned Data Scientist with a proven track record of leveraging data to drive informed business decisions and provide valuable insights to stakeholders. With experience across multiple industries including FinTech, Retail, Adtech, Entertainment, and RideHailing, Shaurya excels in building end-to-end data science models focusing on recommendation systems, forecasting, ranking, natural language processing, statistical machine learning, and model architecture design.
Shaurya's expertise includes analyzing and interpreting large datasets, collaborating with startups, and working with companies like Tata 1MG, Fi Money (epiFi), InMobi (Glance and Roposo), InterviewBit (now Scaler), ProjectPro (formerly Dezyre), and RateCity. He has received recognition for his contributions, including the Bond007 title for his work on increasing conversion rates and LTV revenue.
Education-wise, Shaurya holds a Master's degree in Computer Science from the Georgia Institute of Technology, a Bachelor of Technology in Computer Science from Jaypee Institute Of Information Technology, and High School/Secondary Diplomas and Certificates from Mount Carmel College, India.
Throughout his career, Shaurya has held diverse roles such as Lead Data Scientist, Senior Data and Applied Scientist, Data Science Advisor, Data Scientist, Machine Learning Engineer, and various advisory and technical positions at renowned organizations like Makro, InMobi, RateCity.com.au, epiFi, ProjectPro, 1mg, and InterviewBit.
Shaurya's technical skills include proficiency in Python and C++ programming languages, expertise in various data science libraries like Pandas, PySpark, Numpy, Scikit-learn, Xgboost, and TensorFlow, and familiarity with version control tools like DVC and Git. He has also contributed to open-source projects related to data science tools.
Known for his user-centric approach and experience in using Data Science to drive business growth, Shaurya is an ideal fit for companies looking to harness the power of data-driven insights to make strategic decisions. You can connect with him on LinkedIn or via email at shauryauppal00111@gmail.com to explore collaboration opportunities.