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Manjory Saran

Software Developer and a Toastmaster!

Professional Background

Manjory Saran is a dedicated software engineer with a robust background in both software development and machine learning/data science. Currently based in the vibrant Bay Area, Saran is actively seeking full-time opportunities that allow her to leverage her extensive experience and skills in these fields. With a solid career trajectory comprising key roles at leading technology firms like Amazon, Accenture, and Capgemini, Saran has honed her capabilities in creating innovative solutions that drive efficiency and streamline processes.

Her industrial experience highlights her involvement in high-impact projects ranging from backend development to complex data platform management. As a Software Engineer at Hopelink, she played a pivotal role in orchestrating a web service designed to optimize data organization and visualization through Role-Based Access Control. Furthermore, Saran's tenure as a Software Engineer at Capgemini saw her contributing to the automation of time sheet management processes and facilitating service order creation for office resources, showcasing her proficiency in delivering solutions that meet organizational needs.

At Accenture, she was integral to a team focused on developing a financial web application, demonstrating her adaptability and technical expertise in transforming extracted data for retail applications. Her experience encompasses a blend of roles in back-end development alongside significant collaborative projects, making her a valuable asset in any software development environment.

Education and Achievements

Manjory Saran’s educational journey has laid a solid foundation for her successful career in tech. She began her studies at Army School in Allahabad, focusing on mathematics before progressing to the Institute of Engineering and Rural Technology, where she earned her Bachelor of Technology (BTech) in Electronics. This technical background provided her with a strong analytical mindset essential for tackling complex engineering problems.

Saran continued to enhance her skill set by pursuing a Master of Science (MS) at San Jose State University, allowing her to delve deeper into the nuances of software engineering and data science. Recognizing the importance of continuous learning in the tech industry, she also completed the acclaimed Machine Learning course by Andrew Ng on Coursera, where she deepened her understanding of algorithms, learning models, and classification techniques.

Projects and Notable Achievements

Manjory has made remarkable contributions through her various machine learning and data science projects, which reflect her capability to apply theoretical knowledge practically:

  1. Enterprise Face Recognition with PyTorch: A project that demonstrates her proficiency in deep learning techniques, using the PyTorch framework to create robust facial recognition systems.
  2. Credit Card Default Finder: Manjory successfully designed and implemented a classification model aimed at predicting possible credit card defaults through various learning models, addressing a significant concern in the finance sector.
  3. Black Friday Purchasing Prediction: She developed both linear and logistic regression models, along with classification and regularization methodologies, to analyze consumer purchasing behavior during Black Friday sales, showcasing her strength in predictive analytics.
  4. K-means Clustering of Food Data: In this project, she utilized K-means clustering and Euclidean distance-based clustering techniques to analyze food data, contributing to her expertise in unsupervised learning algorithms.
  5. Web Service Stock Market Analysis Engine: This project involved designing and implementing a web service that enables stock market analysis, amplifying her experience in developing scalable web applications tailored to user needs.

Organizations and Experience

Throughout her career, Manjory has collaborated with various organizations, gaining invaluable experience and enhancing her professional portfolio:

  • Amazon (Software Engineer): At Amazon, she has utilized her software engineering skills to contribute to innovative projects in a dynamic environment.
  • 3D Technology Group, LLC (Software Developer): In this role, she developed Python-based solutions, reinforcing her programming skills and deepening her understanding of software development methodologies.
  • Freelance Software Developer: Manjory has also worked as a freelance software developer, providing tailored solutions for clients, which reflects her versatility and ability to adapt to different project requirements.
  • Hopelink (Software Developer/Volunteer): Her voluntary work at Hopelink allowed her to contribute to community-focused projects, combining her technical abilities with social impact.
  • Capgemini (Software Engineer PMO Office): At Capgemini, she played a crucial role in operational management, ensuring projects were executed efficiently and effectively.
  • Accenture (Software Engineer): Her experience at Accenture involved the development of complex financial applications, enriching her knowledge in the finance domain and software application development.

Conclusion

With a unique combination of technical acumen, educational accomplishments, and practical experience in software development and machine learning, Manjory Saran is an exceptional candidate for any full-time opportunity in the Bay Area. Her passion for technology, continuous learning, and problem-solving capabilities position her as an ideal fit for employers seeking innovative solutions in a rapidly evolving digital landscape. Saran looks forward to bringing her talents to new challenges and contributing to the success of future projects.

Related Questions

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Manjory Saran
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Location

Sunnyvale, California, United States