Ramakant Yadav Email & Phone Number

Rapido:Forecasting Supply and Demand: Data-driven models and analytics to predict future rider and driver needs, optimizing operational efficiency and ensuring timely service availability.Price Elasticity Modeling: Analyzing customer responsiveness to changes in pricing, helping optimize fare strategies to maximize revenue and rider satisfaction while considering market dynamics and competition.Dynamic Pricing: Involves real-time adjustment of fares based on demand, supply, and other factors to optimize revenue and to balance rider-driver needs.Rider Allocation Mechanism: Optimizes matching between riders and drivers in real-time, ensuring efficient service delivery by considering factors like location, demand patterns, and driver availability, enhancing overall customer experience and operational efficiency.Summary of my work in Consulting Firm: (Tiger Analytics and Thoucentric)As a data scientist I worked in forecasting and trade promotion optimization problems, here my role revolves around harnessing analytical skills and industry knowledge to provide clients with valuable insights and strategic solutions.Trade Promotion Optimization: Majority of my role here is to devise strategies to optimize trade promotions. This includes evaluating the effectiveness of promotions, forecasting promotional lift, and optimizing the allocation of resources to maximize return on investment (ROI).Forecasting Expertise: My work involves employing statistical models and machine learning algorithms to forecast future sales, demand patterns, and market trends.Usually delving into historical data, identifying any patterns, and applying techniques like time series analysis and regression models, I aim to predict outcomes accurately.Data Analysis and Modeling: Experience in extracting, cleaning, and preprocessing of data to build robust models.Utilizing advanced analytical methods, such as machine learning algorithms in Python and Pyspark. Aim is to derive actionable insights and recommendations that drive informed decision-making.Client Engagement: I partner closely with clients to understand their unique challenges, objectives, and operational requirements. Communicating solution through dashboard (MetaBase), presentations, and reports.Key Skills and Tools: Python, Pyspark, Java, SQL, Metabase, Power BI, Machine Learning, Predictive Modeling, Building ETL pipelines.

Listed skills include Matlab, Python, Java, Tensorflow, and 6 others.