Highly analytical and results-driven professional with a strong foundation in Data Engineering and Business Analytics, transitioning from a successful internship to a full-time Data Engineer role at SanDisk. Proven ability to develop robust ETL pipelines, build impactful Power BI dashboards, and leverage advanced SQL and Python for actionable insights, consistently driving efficiency and data-driven decision-making. Adept at managing complex data flows and API integrations, seeking to apply expertise in scalable data solutions and strategic analytics to contribute to innovative teams.
Data Engineer 1 (Previously Business & Data Analyst Intern)
Bengaluru, Karnataka, India
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Summary
Transitioned from a Business & Data Analyst Intern to Data Engineer 1, focusing on developing robust data pipelines and delivering critical business intelligence solutions.
Highlights
Developed and automated ETL pipelines from Salesforce, EDW, and Model N, reducing manual data preparation time by ~40% and enabling near real-time access to revenue-impacting data.
Built and deployed over 10 interactive Power BI dashboards to production, enhancing KPI tracking and accelerating decision-making speed by 30%.
Administered Salesforce and provided Model N IT support for critical sales data, ensuring 100% uptime and zero critical data errors.
Performed advanced SQL-based Exploratory Data Analysis (EDA) and Python visualizations, delivering precise datasets and actionable insights that reduced data retrieval time from hours to minutes.
Backend Developer Intern
Gothenburg, Västra Götaland County, Sweden
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Summary
Supported the API Management team in integrating and managing API contracts and data flows within a global integration center.
Highlights
Supported the API Management team at Volvo Car's Integration Center of Enablement (ICOE), facilitating seamless integration and management of API contracts, subscriptions, and data flows.
Managed API subscriptions, ensuring accurate documentation, relationship mapping, and structured integration of user data within the Volvo Integration Portal (VIP).
Utilized Postman for importing, testing, and validating API integrity before deployment in the VIP, enhancing system reliability.
Created comprehensive technical documentation detailing API processes and consumer subscription workflows, improving clarity and knowledge sharing across teams.
President of the Student Council
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Summary
Led student body initiatives and represented student interests within the school administration.
Highlights
Presided over the Student Council, organizing student activities and initiatives to foster a positive school environment.
Acted as a key liaison between the student body and school administration, advocating for student needs and interests.
School Representative
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Summary
Represented the school at a prestigious cultural event, fostering engagement with traditional arts.
Highlights
Represented St. Karen's High School at Spic-Macay IIT Delhi, promoting cultural awareness and participation.
Facilitated school involvement in national cultural initiatives, enhancing student exposure to diverse art forms.
Editorial Head
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Summary
Managed editorial content and production for various school publications.
Highlights
Oversaw the editorial process for school publications, ensuring high-quality content and timely delivery.
Coordinated with writers and designers to produce engaging and informative materials for the school community.
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Bachelor of Engineering (B.E.)
Information Science and Engineering
Grade: CGPA: 9.20
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Senior Secondary Examination (Class 12th, CBSE)
Science
Grade: 93%
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Secondary Examination (Class 10th, CBSE)
General Studies
Grade: 95%
Awarded By
Model United Nations
Recognized as 'Best Speaker' at a Model United Nations conference for exceptional public speaking and debate skills.
Awarded By
WIZ National Spell Bee Organization
Achieved 20th rank nationally in the WIZ National Spell Bee, progressing through school, regional, and state levels.
Issued By
Learn Quest
Issued By
Online Learning Platform
Issued By
NPTEL
Salesforce Administration, SQL, Power BI, Python, Data Analysis, Backend Development, Data Structures and Algorithms, C++, Data Science, C, Java, Machine Learning, Artificial Intelligence, Deep Learning, Numpy, Pandas, JavaScript, HTML, CSS, Android Development, Front End Development.
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Summary
Built a digit recognition model using the MNIST dataset, implementing a Sequential CNN model with Keras over TensorFlow backend, achieving 98.7% accuracy with a mean standard deviation of 0.09% over 5-fold cross-validation.
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Summary
Modelled a hybrid Movie Recommendation system using the 100K MovieLens dataset, incorporating both Content-based and Collaborative Filtering techniques to provide personalized recommendations.
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Summary
Built a database to streamline book and author management, designing relational tables with attributes like publication year and genre, and executing advanced SQL queries for complex joins and efficient data retrieval.