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Riddhi Saraswat

@riddhisaraswat

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Aspiring data analyst with a strong foundation in financial analytics.

India

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What I'm looking for

I am looking for a role that fosters growth and innovation in data analytics.

I am an aspiring data analyst with a robust foundation in financial analytics and applied machine learning. My passion lies in developing real-world, AI-driven tools using low-code platforms and explainable ML techniques. I am committed to leveraging data to drive smarter decisions, uncover trends, and deliver measurable impact.

Throughout my academic journey at Manipal University Jaipur, I have honed my skills in Python, SQL, and data visualization tools like Power BI and Tableau. My project experience includes creating an AI-powered web app for analyzing global investment feasibility and a financial expense tracker that offers savings and budgeting insights using machine learning. I have also worked on an IoT malware detection project that achieved a remarkable 93% accuracy.

In addition to my technical skills, I have completed several certifications, including IBM Data Analyst and Business Analytics from IIT Madras. I was also a finalist in the H-FLAME Tech Challenge and participated in the IIM Udaipur Summer Pre-MBA Program. I am eager to contribute my skills and knowledge to a dynamic team that values innovation and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

AI Financial Expense Tracker

Self-Employed

Created a Streamlit application providing savings and budgeting insights through machine learning. The app classified transactions and calculated financial health scores. It integrated dynamic spending alerts and visual summaries for users.

Streamlit Machine Learning Financial Analysis Budgeting Data Visualization transaction classification Python Data Analytics

GlobeFund – Cross-Border Investment Advisor

Self-Employed

Developed an AI-powered web application to analyze global investment feasibility. The application built macroeconomic risk-return scoring using GDP, inflation, and interest rates. It utilized Flask and React for dynamic country-based investment suggestions.

AI Web Development Flask React Data Analysis Financial Modeling

H-FLAME: IoT Malware Detection (Explainable AI)

Self-Employed

Designed and implemented H-FLAME, an IoT malware detection system using Explainable AI. The model achieved 93% accuracy with Autoencoders and Zero Trust scoring. It featured real-time threat detection within a Streamlit frontend.

Explainable AI Machine Learning Streamlit Cybersecurity AI Python

Education

Degrees, certifications, and relevant coursework

Manipal University Jaipur

B.Tech, Computer Science (Predictive Analytics)

Studied Computer Science with a specialization in Predictive Analytics. Gained a strong foundation in financial analytics and applied machine learning.