Faiz Karol

Analytical and results-driven professional with a knack for turning complex data into clear, actionable insights. Known for improving processes, solving problems, and delivering meaningful impact in dynamic environments.

Promotion Profitability Optimization Engine (PPOE)

• Created a synthetic yet realistic FMCG dataset for Storck Germany, simulating promotions across product categories and channels.
• Applied K-Means clustering and Random Forest regression to segment campaigns and predict ROI with 98% R² accuracy.
• Built a rule-based recommendation engine to filter underperforming setups and suggest high-ROI promotional strategies.

Fan Momentum Index (FMI)

• Conceptualized and led development of a real-time index integrating live tweet sentiment, tweet volume, and stadium audio to quantify fan momentum.
• Designed a Python-based pipeline for multimodal data collection, preprocessing, feature engineering, and visualization.
• Validated FMI against match events (e.g., goals, red cards) in a Real Madrid vs Dortmund case study, demonstrating predictive orchestration potential.

Toni Kroos Data Corpus & Analysis

• Built a structured corpus from 600+ matches using match videos, articles, and performance stats; applied Python-based data cleaning, NLP, and video processing.
• Developed heatmaps, tactical diagrams, and interactive dashboards to analyze career milestones, passing trends, and seasonal performance patterns.
• Integrated structured and unstructured data sources to deliver visual insights and statistical comparisons with other players.

Tripsy: An artificial expedition guide for your dream city (Bachelor final year project)

• Tripsy’s main objective is to make traveling easier for the tourists visiting the city (Mumbai)
• Made using Dialogflow and presented as the final year project for my Bachelor of Engineering
• Chatbot link: https://t.me/tripsybot

Restaurant Virtual Assistant : A personal assistant to a restaurant(Restobot)

• A personalized assistant to a specific restaurant that provides all the information and details about the restaurant, its cuisine, and other attributes
• Made using Google Dialogflow, Restobot achieved first place at the 3rd national-level paper and model contest, "Technovation 2020," organized by the IEEE student branch of Poornima College of Engineering, Jaipur.
• Chatbot link: https://t.me/RestaurantVirtualBo

• Technovation 2020 Winner, Won first prize for RestoBot at IEEE's national contest at Jaipur University, recognized for innovation in AI-driven virtual assistants.
• QSPIDERS-certified, Manual Testing, Core Java, Web Security Testing, Database Testing, Agile Methodology