Currently working as a Software Engineer in NatWest Group. Here I am primarily involved in Data Pipeline Development and Optimization. My work can be summarised as follows:-I am currently specializing in designing and implementing data pipelines, focusing on seamless extraction and transfer of data from on-premise RDBMS systems to AWS S3 buckets. Moreover, I am actively involved in orchestrating data ingestion into Glue databases, facilitating efficient data transformation and storage in both raw and standardized buckets. I am also dedicated to applying rigorous data quality rules to ensure the integrity and accuracy of transformed data.Lastly, I am engaged in comprehensive data cataloging and monitoring, ensuring the efficiency and effectiveness of ongoing end-to-end data engineering processes.

Registered Subject: Computer Science

In my role as a Venture Capitalist Intern, I had the exciting opportunity to work closely with early-stage companies, particularly those operating in stealth mode. My primary responsibilities included:- Scouting for Innovative Startups: Actively identified and evaluated promising startups that were developing groundbreaking technologies and business models. I leveraged various networks, industry events, and research tools to discover these companies.- Mentorship and Guidance: Provided strategic mentorship to startup founders, helping them refine their business models, go-to-market strategies, and product offerings. I aimed to strengthen their value propositions and enhance their market readiness.Market and Competitive Analysis: Conducted in-depth market research and competitive analysis to support investment decisions. My insights helped shape our investment thesis and identify key opportunities and risks associated with potential investments.Through this role, I developed a keen understanding of the venture capital landscape and gained valuable experience in evaluating and supporting early-stage startups.

I have worked at NatWest Group (Subsidiary Royal Bank of Scotland) as an MLOPS intern. MLOPS stands for Machine Learning Operations and my main goal is to help the team build the MLOPS framework for their new customer intelligence model. I assisted the work team in gathering label data for model validation and wrote monitoring scripts for the model to ensure smooth execution.

1) Responsible for mentoring 100+ students in debugging their code.2) Helping students with the concepts of data structures and algorithms with an average rating of 4.87 out of 5.0

Collaborated with contributors on a Face-Recognition Algorithm (Xception) for GirlScript Summer of Code 2021.