SANJANA LAD

657-***-**** ad0vjp@r.postjobfree.com

https://www.linkedin.com/in/sanjanalad1999/

EDUCATION

California State University Fullerton Fullerton, CA Master of Science, Computer Engineering Expected Graduation: December 2023 Coursework: Cyber Security, Current Topics in Computer Engineering, Real Time Audio and Language Processing, Principles of Neural Networks, Software Measurement, Computer Arithmetic and Architecture, Internet of Things, Advanced Computer Networking. Rizvi College of Engineering, University of Mumbai Mumbai, India Bachelor of Engineering, Computer Science and Engineering June 2021 Coursework: Software Engineering, Engineering Mechanics, Analysis of Algorithms, Data Structures, Natural Language Processing, Machine Learning, Mobile App Development, Artificial Neural Networks, Big Data, Web Development. TECHNICAL SKILLS

• Languages and Frameworks: Objective C, C#, C++, JAVA, SQL, HTML, CSS, Python, Cassandra, Assembly Language, Perl, R, PHP, Kotlin, Angular, React.Js, JavaScript, Ruby, MongoDB, ASP.NET

• Software: MATLAB, PySpark, Microsoft, Heroku, GitHub, MySQL, Microsoft Azure, Android Studio, DBMS/RDBMS, Oracle, Jira for Scrum, PyTorch, Google Colab, Arduino IDE, Salesforce, Jupyter Notebook

• Personal Skills: Problem-Solving, Time Management, Teamwork, Presentation Skills, Critical and Analytical Thinking PROJECTS

Human Face Recognition (Senior Design Project) August 2020 - May 2021

• Developed an Android Studio application that utilized a custom image dataset containing various faces. Trained the dataset to create a functionality that requested users to upload two images, enabling the algorithm to compare and determine their similarity.

• Implemented concepts, including PCA (Principal Component Analysis), Mahalanobis distance, MFCC (Mel-Frequency Cepstral Coefficients), HMM (Hidden Markov Model), and a Face Recognition Module for accurate image analysis and comparison. Heart Disease Prediction (Machine Learning) August 2022 - December 2022

• Divided a dataset into two attribute sets using C language in MATLAB for cancer prediction. Utilized Machine Learning techniques, artificial neural networks, and deep learning algorithms to predict the likelihood of cancer or the absence of it.

• Implemented advanced optimization methods, including Levenberg-Marquardt, Bayesian Classification, and One Step Secant, to enhance predictive accuracy. Effectively presented outcomes to provide valuable insights into patient cancer risk assessment. Breast Cancer Prediction (Neural networks) January 2023 - May 2023

• Gathered and preprocessed a comprehensive dataset, including patient demographics, medical history, genetic markers, and diagnosis outcomes, ensuring data cleanliness and integrity. Employed L1 regularization (Lasso) in logistic regression to perform feature selection. Helped retain most influential features of BCP while eliminating overfitting.

• Utilized the LLM to build a predictive model for classifying breast cancer cases into malignant and benign categories. This involved the training of the model to find the optimal coefficients while addressing multicollinearity and reducing the risk of overfitting. Fine-tuned the LLM by adjusting hyperparameters to optimize its performance and accurate prediction. Movie Recommendation System (Data Mining/Machine Learning) June 2019 – November 2019

• Applied user-user collaborative filtering by utilizing k-means clustering and train-test-split functions for enhanced recommendation systems.

• Integrated and processed extensive and diverse datasets to optimize Python code accuracy and effectiveness.

• Leveraged MySQL to establish database connections and efficiently manage a vast movie dataset, ensuring smooth data access. Face Detection App (Cloud, Heroku) January 2023 - Dec 2023

• Utilized OpenCV, a powerful computer vision library, to implement face detection algorithms. Employed Python for scripting and development. Deployed the application to Heroku, a cloud-based platform, ensuring scalability and accessibility for users. Virtual Police Station (Scrum oriented) Jan 2023 – May 2023

• Built a web-application from scratch using Python (front end- React, JS, TypeScript). Controller backend logic acted as intermediary between view layer and Database (using API). Managed large data using NoSQL and MongoDB database management system. Reported a series of scrum artifacts, sprint retrospective, measurement data analysis, scrum meetings. EXPERIENCE

Newfold Digital Mumbai, India

Web Solutions Specialist June 2021 - November 2021

• Identified any bugs/issues in system and assisted in resolution, optimized clients’ website performance and user experience, enhancing my problem-solving skills in the process.

• Assisted clients with DNS configuration and security measures including setting up A, CNAME, MX and other types of records. Utilized DNSSEC to protect from attacks, cache poisoning and hijacking. Fixed email delivery issues altering DNS records.

• Worked with CDNs to optimize web performance by configuring DNS settings to route traffic through a global network of servers, reducing latency and improving load times. Worked on WordPress, WHM, cPanel, Plesk and Salesforce platforms. RESEARCH

• Cyber Security Research: Cyber Espionage and OPSEC (Operational Security)

• Computer Networking Research: Cloudification of Internet (TCP concepts). Agile Environment research using Jira. (Ongoing)

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