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Rohan Uppal

Rohan Uppal


Data Science Intern and Data Scientist
London, England, United Kingdom

Professional Overview


Rohan Uppal is a talented data science professional with a strong background in quantitative analysis, machine learning, and artificial intelligence. He currently holds dual roles as a Data Science Intern and Data Scientist, Global Data Lab at Prospect33, where he leverages his expertise to drive innovative solutions and impactful research.

Experience Summary



Current Roles


Data Science Intern and Data Scientist, Global Data Lab | Artificial Intelligence | Machine Learning | Research | at Prospect33 (2024-06-01 to Present)
  • Collaborating with cross-functional teams to develop and implement advanced data analytics and machine learning models to solve complex business challenges

  • Conducting in-depth research and analysis to uncover data-driven insights that inform strategic decision-making

  • Actively participating in the development of novel AI and ML algorithms to enhance the company's product offerings

  • Contributing to the creation of data visualization tools and dashboards to effectively communicate findings to stakeholders


Career Progression


Quantitative Analyst | Asset Management | FX | Research | Systematic Strategies | Buyside | at Family Office (2024-06-01 to 2024-07-01)
  • Developed and backtested systematic trading strategies for foreign exchange (FX) markets using advanced quantitative techniques

  • Performed in-depth market research and analysis to identify investment opportunities and manage risk

  • Collaborated with portfolio managers to optimize asset allocation and improve fund performance


Quantitative Research Intern - Data Scientist | Artificial Intelligence | Quantitative Analysis | at GoodMine (2023-06-01 to 2023-09-01)
  • Conducted research and analysis to support the development of machine learning algorithms for commodity price forecasting

  • Participated in the implementation of natural language processing models to extract insights from unstructured data

  • Gained experience in the application of advanced statistical methods and data visualization techniques


Sr Risk Analyst at Xceedance (2022-04-01 to 2022-07-01)
  • Analyzed complex insurance and reinsurance portfolios to identify and mitigate potential risks

  • Developed risk modeling and simulation frameworks to support strategic decision-making

  • Collaborated with cross-functional teams to enhance risk management strategies


Academic Background


Rohan holds a Bachelor of Science degree in Mathematics and Computer Science from the University of Cambridge, where he graduated with Honors. During his studies, he demonstrated exceptional academic performance and was actively involved in research projects, showcasing his strong analytical and problem-solving skills.

Areas of Expertise


  • Proficient in Python, R, SQL, and various data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow)

  • Expertise in machine learning, deep learning, and natural language processing techniques

  • Strong background in quantitative analysis, statistical modeling, and time series forecasting

  • Skilled in data visualization and business intelligence tools (e.g., Tableau, Power BI)

  • Excellent communication and collaboration skills, able to effectively translate complex data insights into actionable business recommendations


Professional Impact


  • Played a key role in the development of a machine learning-driven commodity price forecasting model that achieved a 15% improvement in prediction accuracy

  • Contributed to the design and implementation of a risk management framework that enhanced the company's ability to identify and mitigate risks, leading to a 20% reduction in overall risk exposure

  • Recognized for his innovative thinking and data-driven approach, Rohan was invited to present his research findings at a prominent industry conference


Conclusion


Rohan Uppal is a versatile data science professional with a proven track record of delivering data-driven solutions that drive business impact. His diverse experience, technical expertise, and strong problem-solving skills make him a valuable asset to any organization seeking to leverage the power of data and advanced analytics. Rohan is committed to continuous learning and is poised to make significant contributions to the field of data science and artificial intelligence.