Jun 2022 – Sep 2023 · 1 yr 3 mos · Mumbai, Maharashtra, India

• Company and Team:
• Employed at Barclays in the Trading Analytics team.
• Data Management and Analysis:
• Work extensively with big data, involving billions of rows.
• Utilize PySpark and Python for data processing and analysis.
• Perform post-trade analytics on the data using Python, PySpark, kdb+, and SQL.
• Web Development:
• Developed Flask/Django-based internal portal for the team.
• Created an in-house website to provide access to data and analytics tools.
• Utilized Streamlit to design a user-friendly data visualization portal.
• Data Pipeline Management:
• Responsible for maintaining and optimizing data warehouse pipelines.
• Ensure seamless flow of data from various sources to analytical tools.
• Play a crucial role in enhancing the team's data-driven decision-making processes.

Mar 2022 – Apr 2022 · 1 mo · Gurugram, Haryana, India

• Strategy Development:
• Utilized C# to build trading strategies on Indian Equities Markets using Indicators and rigorous statistical analysis.
• Cross-Validation:
• Backtested on a decade of data and forward tested on 5 years to test if the strategy is robust or not.
• Results:
• Achieved CAGR>35% and risk-reward of >3 with Sharpe above 3 on unseen market data

Oct 2021 – Feb 2022 · 4 mos

• Internship at LendingKart:
• Interned at LendingKart, focusing on non-collateralized loans/unsecured loan book worth over 1 billion dollars.
• Loan Repayment Analysis:
• Analyzed loan repayment default rates on a weekly basis using aggregation techniques.
• Conducted detailed data exploration to pinpoint sources of Non-Performing Assets (NPA) increase.
• Tools and Skills:
• Utilized Python, Excel, and SQL for data analysis and manipulation.
• Leveraged these tools to derive insights into loan repayment trends and NPA drivers

May 2021 – Jul 2021 · 2 mos · Mumbai, Maharashtra, India

• Stakeholder Engagement:
• Collaborated with stakeholders to comprehend their unique requirements.
• Engaged in in-depth discussions to grasp a comprehensive understanding of the products.
• Dashboard Development:
• Constructed 5 visualization dashboards using Altair Panopticon, a data visualization tool designed for big data.
• Utilized SQL in conjunction with Panopticon to create informative and interactive visualizations.
• Recognition:
• Earned recognition for your contributions by receiving the Best Intern Award, surpassing other interns from prestigious institutions such as IITs and IIMs.

Jun 2020 – May 2021 · 11 mos

• Crude Oil Price Forecasting:
• Served as a Data Scientist, specializing in crude oil price forecasting.
• Employed various predictive models, including LSTM, regression, and gradient descent.
• Model Validation and Accuracy:
• Implemented cross-validation techniques to prevent overfitting and ensure model robustness.
• Achieved exceptional results in your forecasting project, yielding significant predictive accuracy (specific accuracy percentage not provided).
• Contributions:
• Utilized advanced techniques to enhance Reliance Industries' ability to forecast crude oil prices.
• Demonstrated your expertise in data science by delivering impactful and accurate results for the forecasting task.

Apr 2020 – May 2021 · 1 yr 1 mo · Ottawa, Ontario, Canada

• Financial Statement Analysis:
• Engaged in analyzing financial statements as a research assistant.
• Focused on comprehending and interpreting complex financial data.
• Data Parsing and Extraction:
• Parsed financial data to extract pertinent risk factors.
• Applied data processing techniques to isolate crucial information from the statements.
• NLP and ML Implementation:
• Employed NLP and ML models, including techniques like Cosine similarity and BERT.
• Chose BERT as the final model to enhance accuracy.
• Research Outcome:
• Achieved a 70% accuracy rate in the research project.
• Demonstrated the practical application of NLP and ML in analyzing financial statements and assessing risk factors.

Jan 2020 – Mar 2020 · 2 mos

Aug 2019 – Mar 2020 · 7 mos · Mumbai, Maharashtra