Introduction
Currently at Sydney Business School, I am an MBA with a strong foundation in technology and data science, further enhanced by hands-on industry projects. My background includes a B.Tech and M.Tech from IIT Bombay in Energy Engineering. I've honed my skills in Product Management, Data Analytics, AI, and Machine Learning through various experiences.
At Sydney Business School, I'm focussed on Business Analysis using Data Science and Machine Learning algorithms, tackling industry-relevant projects that sharpen my analytical and problem-solving abilities. My goal is to excel as a Product Manager leveraging Data Science and my technical proficiency in Python, SQL and various data analysis tools, along with my expertise in AI and machine learning, and my managerial skills in strategic thinking and agile methodologies. I'm eager to apply my diverse skill set to innovative projects that combine cutting-edge technology with strategic business insights. With a track record of academic excellence and a passion for driving business growth through technology, I'm ready to make significant contributions in roles that challenge me to push the boundaries of what's possible in product development and data science.
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<img src="/icons/postcard_gray.svg" alt="/icons/postcard_gray.svg" width="40px" /> Current City: Wollongong, NSW, Australia
Home City: Mumbai, India
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<img src="/icons/cursor_gray.svg" alt="/icons/cursor_gray.svg" width="40px" /> Follow me at:
LinkedIn: https://www.linkedin.com/in/pravingraut/
Instagram: https://www.instagram.com/pravin_perspicacious
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<img src="/icons/invitation_gray.svg" alt="/icons/invitation_gray.svg" width="40px" /> **Contact me by Email
[email protected]
[email protected]**
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<img src="/icons/phone-call_gray.svg" alt="/icons/phone-call_gray.svg" width="40px" /> **Contact me by Phone
+91-95999 31780
+61-414 920 615**
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Associate Product Manager at Impact App
- Revamped product features, authored PRDs, and improved UI/UX, boosting user engagement by 135%. Analyzed user behavior data, leading to successful launches of health and cycling session tracking. Optimized the product development lifecycle using Scrum and Agile, reducing product backlog by 15%.
Data Science and Machine Learning Projects
- Churn prediction in Telecommunications industry - Predictive Analytics: This project aimed to predict customer churn using historical behavior data. By identifying high-risk customers early, businesses can reduce revenue loss through targeted retention strategies. A machine learning model was built and evaluated using real-world metrics like Top Decile Lift and Gini Coefficient.
- Virat Ambe Sports Club - Predictive Analytics: Developed a comprehensive customer analytics solution, incorporating customer segmentation, churn prediction (85% accuracy), and demand forecasting (95% accuracy). Achieved a 20% reduction in churn and 90% revenue growth post-RFM analysis through targeted campaigns. This showcases expertise in predictive modeling and customer-centric strategies.
- Spotify Data Analysis (IIM Shillong): Analyzed a 600,000-record Spotify dataset, extracting insights via Exploratory Data Analysis, Visual Analytics, and Machine Learning (KNN Clustering). Designed and coded an interactive dashboard using Streamlit, deployed as an online web app for universal access. Demonstrated skills in data exploration, visualization, and web application development.
- Image Classification using CNN (IIM Shillong): Developed an Image Classification web app leveraging TensorFlow for deep learning and Gradio for UI. Utilized a Convolutional Neural Network to accurately predict five distinct flower species. Showcased system design principles with a scalable architecture, real-time model inference, and user-centric interface, deployed as a web app.
- Radium Woodworks - Operations Consultant: Modeled a dynamic Assignment Problem in CPLEX to optimize labor allocation and machine usage, minimizing costs and maximizing efficiency. Generated a production plan incorporating Activity-Based Costing, increasing profits by 30% and reducing costs by 15%. Enhanced resource utilization by 20% to effectively meet demand, demonstrating proficiency in operational optimization.
Master of Technology
Thesis : Sizing and performance optimization for onboard reformer hydrogen generation based Fuel Cell system using Pinch Analysis for transport applications
Grade: 10/10
Recommendation of Undergradrate Research Award
Portfolio