Feb 2023 – Jun 2023 · 4 mos

• Used selenium, beautiful soup, etc. to extract data from Webpages using Parsers (HTML Parser, JSON Parser, XML Parser, etc.) into structured data formats.
• Created and maintained a database utilizing Pyodbc SQLalchemy etc. for efficient data storage and retrieval. Documented code and models on Github to ensure reproducibility and facilitate collaboration with other teams. Further Data analysis on Azure Data Studio in accordance with client needs.
• Developed and maintained big data pipelines and ETL's using Python and Unix Shell scripting to support business data needs.
• Collaborated with cross-functional teams to understand ad hoc data usage, and troubleshoot data issues.
• Statistical testing and analysis on data collected through API. Hypotheses testing and also applied classification algorithms through Python and Excel.

Nov 2022 – Mar 2023 · 4 mos · Remote

• Quantitative research consultant at worldquant BRAIN platform

Jul 2022 – Oct 2022 · 3 mos

• Engaged in economy-wide , sector specific and company oriented research and analysis.
• Created , managed and maintained a real-time simulated portfolio on BSE 500 listed companies.
• Conducted in depth research and analysis of two sectors in the Indian economy and finished the assigned research work. Applicable in Indian banking and finance industries.
• Studied and Applied techniques of Fundamental and Technical analysis.

Mar 2022 – Jun 2022 · 3 mos · Pune, Maharashtra, India

• Worked on a project titled ‘FABRIC': FABRIC is a SaaS
• platform which processes text along with relevant
• numerical data to assist, augment and automate financial
• analysis of a listed company.
• End-to-end implementation of data acquisition, data
• enrichment (using AI models) and data visualization
• architected for AWS environment.
• Implemented multiple NLP algorithms using advance
• technique and framework.
• Implemented methods of regime detection for trading
• index funds and stocks in Indian markets.

Dec 2021 – Nov 2022 · 11 mos · Pune, Maharashtra, India

• Applied machine learning and sparsity-promoting techniques to extract governing equations from noisy data in nonlinear dynamical systems.
• Collaborated with medical professionals at Savitribai Phule Pune University for a CGM time series experiment involving eight participants.
• Conducted research aiming to predict glucose levels using CGM data and isolated liquid meals to address the primary cause of type 2 diabetes.
• Executed time series data analysis and modeling utilizing MATLAB and Python.
• Investigated and implemented efficient sparse machine learning algorithms tailored for clinical datasets.

Jul 2021 – Jul 2021 · 0 mo

• GRADE: 100/100
• Focused primarily on Quantum machine Learning with an intensive Quantum Computing coursework and lab session based on IBM Quantum.

Dec 2019 – Dec 2019 · 0 mo · Thiruvananthapuram, Kerala, India

• Learnt fundamentals of Astronomy , Astrophysics and Cosmology from eminent scientist of IIST. Also a variety of astronomy analysis techniques (including image subtractions, and asteroid identification)

Aug 2019 – May 2020 · 9 mos · Pune, Maharashtra, India

• Worked on various statistical and data analysis techniques for electrochemical reduction of CO2 to find appropriate metal for catalysis. Compared various regression models for prediction.