JASHWAANNTH SAI KILARI

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

ONLINE FURNITURE SALES:

• Actively involved in designing and developing an online furniture sales platform, leveraging my expertise in Database Management Systems (DBMS).
• Played a pivotal role in the successful implementation of the system, providing seamless functionality for both customers and the organization.
• My responsibilities included: Database Design, Data Modeling , Data Integration , User Authentication and Security , Scalability and Performance Optimization , Reporting and Analytics , Data Backup and Recovery , Compliance and Data Privacy.

CREDIT SCORE CLASSIFICATION:

• Developed and deployed a credit scoring model that leveraged machine learning techniques to assess the creditworthiness of applicants, resulting in improved risk assessment and lending decisions .
• Conducted extensive data preprocessing and feature engineering, optimizing data quality and engineering relevant features from financial and personal data to enhance model accuracy.
• Employed a variety of machine learning algorithms, including decision trees, random forests, logistic regression, and gradient boosting, to create predictive models that accurately forecast credit scores.
• Contributed to data-driven decision-making, enhancing risk assessment, reducing default rates, and improving the overall efficiency and profitability of the lending process.

STATE FARM DISTRACTED DRIVER DETECTION:

• Leveraged state-of-the-art machine learning and computer vision techniques to create a robust and accurate model for detecting distracted driving behaviors among motorists.
• Designed and implemented a deep learning neural network architecture, capable of real-time analysis of images and videos from in-vehicle cameras to identify behaviors such as texting, talking on the phone, and other distractions.
• Successfully collected and pre-processed large-scale datasets of driver behavior, Conducted rigorous model evaluation and validation, employing techniques such as cross-validation and ROC analysis to demonstrate the model's high accuracy, precision, and recall in detecting distracted driving incidents.

WATER QUALITY AND POTABILITY PREDICTION:

• Developed and implemented machine learning models to predict water quality and potability, contributing to the delivery of safe and clean drinking water for communities.
• Collected and curated extensive water quality data, including parameters such as pH levels, turbidity, hardness, and chemical concentrations, ensuring data accuracy and completeness.
• Conducted rigorous data preprocessing and feature engineering, cleaning and standardizing data to improve model performance and extract meaningful insights from water quality datasets.