Akash Kumar Email & Phone Number

Samastipur, BR, IN

• Created a real-time inventory freshness dashboard using Python, and LookerStudio, significantly enhancing decision-making accuracy by 30%
• Designed Python-based ETL automation, reducing inventory reporting processing time by 99% and enabling instant SKU-level analysis
• Automated retention data processing with MoEngage API integration, performed SHA-256 encryption and enhanced data accuracy by 90%
• Used Selenium for influencer metrics scraping, reducing selection time by 90%, enhancing interaction analysis, and marketing effectiveness
• Implemented K-means clustering for customer segmentation, enhancing targeted marketing and personalized product recommendations

Kharagpur, West Bengal, India

• Performed stationarity analysis and smoothening after visualizing using matplotlib on Kanpur air quality data for time-series forecasting
• Developed a hybrid model using ML models like MLP, LSTM neural network, and XGBoost regressor to forecast PM2.5 concentration
• Achieved a maximum prediction accuracy of PM2.5 concentrations with notably high R2 score of 0.92 and low RMSE loss of 12(µg/m3)

• Built a robust stock price prediction model using LSTM neural networks with TensorFlow Keras and trained the model for 100 epochs
• Used Matplotlib, and Seaborn to identify significant trends, patterns, and correlations in the financial stock data, improving model accuracy
• Fine-tuned the LSTM model, using the Adam optimizer, Relu activation, and MSE loss function to achieve a notably high R2 score of 0.84