Education

Master's of Science in Computer and Information Technology,

Purdue University (GPA 3.9/4.0)

Aug 2023 – May 2025

West Lafayette, United States

Coursework: Applied Data Science, Machine Learning Cloud Ops, Relational Data Management, Info-Tech Project Management, Internet Of Things Security, Web Development, Statistics.

Bachelor's of Science in Information Technology,

University Of Mumbai

Aug 2017 – May 2021 Mumbai, India

Coursework: Business Intelligence, Software Project Management, Advanced Java Programming, SQL Server Database Administration, Software Engineering, Computer Networking, OOPS, and Data Structures. Technical Skills

•Business Intelligence: Microsoft Power BI, Postgre SQL, Microsoft Office Suite (Word, Excel, PowerPoint), Microsoft Projects Tableau.

•Machine Learning Libraries and Frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.

•Developer Tools and Coding Languages: Jupyter Notebook, Google Cloud Platform, AWS IoT, VS Code, AWS Sage Maker Python, SQL, JavaScript, HTML/CSS, Django, Linux, C++, Java..

•Interpersonal skills: Customer-centric mindset, Innovative Thinking, Adaptability and Continuous Learning, Empowerment and Collaboration, Integrity and Respect, communication skills, customer service, ethics, and time management. Professional Experience

Fyntune, Project Insights Analyst Apr 2023 – Aug 2023 Mumbai, India

•Spearheaded the development of web platforms tailored for health insurance comparison, significantly enhancing decision-making and boosting sales for key clients such as HDFC and Tata AIG through strategic improvements in user experience.

•Orchestrated the full lifecycle of project management, from requirements collection to deployment, guaranteeing product precision and regulatory compliance through effective collaboration with brokers and providers.

•Directed a cross-functional team in a collaborative environment, employing Agile methodologies for efficient project delivery and continuous improvement.

•Utilized SQL and analytics for platform enhancements, focusing on optimizing user experience and conversion rates.

•Customer Feedback Integration: Integrated feedback from brokers and users to enhance platform features iteratively, boosting user satisfaction and promoting a culture of continuous improvement aligned with customer-centric innovation. CoachX, Data Analyst Intern Oct 2022 – Mar 2023 Remote

•Mastered Microsoft Power BI to develop advanced data visualizations and reports, facilitating data-driven decision-making.

•Overhauled customer dashboards with Excel and SQL, improving data presentation and elevating client engagement.

•Collaborated with the Project Manager on strategic planning, leveraging data analysis to enhance project management insights.

•Maintained high data integrity by implementing strict quality assurance and validation processes. Academic Projects

Next-Gen Inclusive Video Streaming Platform,

Python, JavaScript, Django

Aug 2023 – Dec 2023

•Conceptualized and spearheaded the development of an innovative video streaming platform, akin to YouTube, as a pivotal project during university coursework.

•Introduced groundbreaking features, notably a dedicated content category tailored for users with attention disorders, thereby establishing a new benchmark in digital inclusivity.

•Proficiently engineered the platform's front-end using HTML, CSS, and JavaScript, alongside adeptly managing the back-end with Django, ensuring a seamless user interface.

•Led extensive problem-solving initiatives, curated user experience design, and implemented industry best practices in web development. Mitigating Biases in Student Performance Analysis, Data Science Project

Jan 2024 – present

•Directed a critical initiative to unearth and mitigate biases in academic performance across high schools, focusing on gender and socio- economic disparities, employing Python, Random forest, advanced Machine learning, and Artificial Intelligence techniques in the UCI

"Student Performance Data Set."

•Applied comprehensive statistical analyses and fairness metrics to identify underlying biases, implementing innovative bias mitigation strategies such as re-sampling and algorithm modification to ensure educational equity.

•Generated pivotal insights and data-driven policy recommendations aimed at reforming educational practices, highlighting the project's significant contribution to promoting social justice and responsible AI in the educational sector. Publications

Big Data Analysis using Financial Risk Management, International Research Journal of Engineering and Technology (IRJET)

•Pioneered Big Data initiatives, improving customer insight and product performance analysis.

•Addressed Big Data challenges, enabling innovative, personalized banking services. Prasad Darveshi

ad4rpw@r.postjobfree.com 765-***-**** Indiana, United States www.linkedin.com/in/prasad-darveshi

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