Nishanth Sudhaharan

Highly curious and intellectual professional with experience in collecting, cleaning, analyzing, and visualizing data. Leverage my academic and professional background to define, formulate approaches and analyze data to generate insights and solutions for advanced business problems, and present them using advanced communication and presentation skills.

• Sales Forecast Analytics

 Used SQL and Python libraries to developed a sales forecasting model for a small restaurant in Seattle using historical sales data, seasonality, and economic indicators to predict future sales trends. Created an interactive dashboard with visualizations using ggplot2 and presented it to the restaurant manager. The model improved the accuracy in sales predictions by 20%, aiding in inventory management and effective staffing. It increased the restaurant's overall profit by 12%.

• Sports Analytics using Deep Learning

Developed a Deep Learning model using TensorFlow to predict the 'Player of the Match' award for upcoming cricket games. Trained, validated, and tested the model with 506,000 records and player statistics including the last 15-year period of games.