I’m Saurav Ghag
Business & Data Analyst | Finance Enthusiast
Welcome to my space,
Here business meets intelligence & innovation drives results
I’m Saurav Ghag, a Business and Data Analyst passionate about turning data into strategy at the intersection of finance, technology, and research. With expertise in Python, R, SQL, Power BI, Tableau, and exposure to cloud computing and ethical hacking, I deliver impactful, scalable solutions through advanced analytics and quantitative methods. Beyond the professional sphere, I’m deeply involved in finance research, organic farming, and agri-tech innovation, applying the same analytical mindset to sustainability. A natural leader and communicator, I thrive on solving problems, driving insights, and making ideas come alive.
In addition to my technical expertise, I bring a strong blend of soft skills and a unique passion for farming. This combination keeps me grounded, connected to nature, and adaptable—while also enhancing my ability to collaborate, communicate, and connect with people. I take pride in being both technologically adept and a true people’s person.
I've had the privilege of working with leading companies in India. Alongside my formal work experience, I’ve also engaged in freelance projects and completed multiple internships during my undergraduate studies, giving me a well-rounded and hands-on professional foundation.
My educational background includes degrees from some of India’s top universities, complemented by a range of technical and non-technical certifications. These experiences have equipped me with both foundational knowledge and practical skills, preparing me to navigate real-world challenges with confidence.
Through my research and project work, I have consistently focused on solving real-world problems using practical and data-driven approaches. These experiences have not only sharpened my technical skills but also helped me develop critical thinking, adaptability, and a strong problem-solving mindset. This hands-on exposure has equipped me with the confidence and readiness to take on the challenges of dynamic industrial environments.
Research on Monte Carlo simulation & MCMC techniques to analyze complex systems under uncertainty & enhance decision-making frameworks.
This project helped me strengthen my expertise in data cleaning, preparation, analysis, and visualisation to derive actionable insights that drive better marketing decisions.
Github
This project has given me hands-on experience in data-driven decision-making and visualisation, and I’m thrilled about the possibilities these tools offer in the world of analytics!
Github
This project was not just about crunching numbers; it was about connecting the dots between tools and techniques to extract actionable insights.
Github
Lorem ipsum dolor sit amet consectetur adipisicing elit. Consequatur mollitia ratione minima atque, quod hic unde, voluptatibus culpa iure harum, inventore modi.
Github
Developed predictive models using Python (pandas, numpy, scikit-learn) with an R² score of 0.80, employing Random Forest and Decision Tree algorithms.
Github