AJIT ANAND

Implemented an AI-based keyword extraction module for Resume parser, resulting in a 30% increase in parsing speed. Designed a user-friendly web interface for clients to upload and parse resumes, improving customer satisfaction. Spearheaded the integration of AI-driven candidate matching algorithms, leading to a 25% boost in recruiter efficiency. Doing the Salary Prediction for the Employee Using the forecasting model called (ARIMA model). Working on the Time series data.

Conducted complex data management with SQL server and T-SQL. Analyzed and mapped data and wrote SQL scripts to extract data from SQL databases. Employed SQL to query databases and retrieve data. Conducted descriptive data analysis through unsupervised learning. Identified relationships and reasons for success or failure of services. Estimated handling times for customer calls. Predicted success rates of cost models. Analyzed and predicted issue resolution times. Managed data conversions, data pre-processing, and data cleanup. Conducted exploratory data analysis and model training. Selected suitable algorithms and assessed loan default risks. Analyzed creditworthiness and bias elimination through digital footprint data. Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques. Developed loan default prediction processes. Conducted customer segmentation and loss estimation analysis. Utilized Python, Pandas, Matplotlib, Seaborn, Scikit-Learn, Logistic Regression.

Dissertation Project (Under water Image Segmentation). The project utilized DeepLabV3, a state-of-the-art deep learning model for semantic image segmentation.