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 _Email not available. Sign in: https://www.twine.net/signup_

Shaurya Uppal

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 _Email not available. Sign in: https://www.twine.net/signup_

Available to hire

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 Email not available. Sign in: https://www.twine.net/signup

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Work Experience

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Education

Masters at Georgia Institute of Technology
September 7, 2024 - September 7, 2024

Qualifications

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