Senior Software Engineer
American University In the Emirates
Total years of experience :9 years, 8 Months
• Full-stack development of the Universitys Software system, usage of technologies like MS SQL, VB.Net, HTML, CCS, JavaScript.
• Engineered the design overhaul of the database structure with a focus on optimizing stored procedures with complex queries; enhanced data retrieval speed by 60% and minimized system downtime by 25%.
• Engaged in SQL Analytics Solutions which increased operational efficiency by 25%.
• Prepared recursive CTEs, CTE, Temp tables to optimize data processing; achieved 30% improvement in
database query efficiency and accelerated data analysis, streamlining decision-making processes for the team.
• Developed interactive and dynamic Dashboards to drive data-informed decision-making processes.
• Managed project deployment operations and training for 100+ end-users; supported bug resolution efforts, ensuring seamless system performance and optimal end-user experience.
• Collaborated with stakeholders within the University for requirement gathering, resulting in a 20% increase in system performance and a 25% reduction in response time for change requests.
PROJECTS
● Spearheaded the revamp of the HRIS software, encompassing modules such as Employee Repository, Leave Management, Payroll, Recruitment, and Training and Development.
● Executed HR Dashboard tracking essential metrics - Employee Turnover, Engagement, Disengagement, and Retention Rate - leading to a 15% increase in HR management efficiency within three quarters.
● Implemented a Semester Trend which analyzes data such as student performance, enrollment number, graduation rates, educational policies and making decisions for instructional improvement.
● Delivered an advanced Appraisal System to measure employee performance against job descriptions at different levels, generating a final detailed report accessible through the staff portal.
● Designed and executed Event Management System, streamlining event request processing, budget tracking, and approval workflows, resulting in a 40% reduction in administrative time and better accuracy in budget reporting.
● Implemented Faculty Credentialing portal for SACS - COC accreditation, resulting in a streamlined process to evaluate faculty education and experience for assigned courses, resulting in an improved compliance.
● Streamlined Survey System, enabling data-driven decision-making for management through visually appealing graphs and charts, reduced data analysis time by 50%.
● Managed network inventory, provisioning services and fault management for Telstra’s network enhancing system stability, resulting in a 30% decrease in fault resolution time and 70% increase in network reliability.
● Created key metrics related to Telstra's network performance factors like throughput, utilization, delay, and quality thereby providing a centralized view of performance data as per business need.
• Participated in the International Conference on Signal & Image Processing (ICSIP–2009). • Co-ordinated the technical events conducted by the Electronics & Communication Eng Department in Amrita School of Engineering. • Worked on the project,Sign Language Recognition Tool. The tool detects the signs shown by speech impaired people, process those signs and convert them to voice.
PROJECT PORTFOLIO 1. Flight Price Prediction: Developed a tool to predict the price of airline tickets to make better pricing decisions and optimized revenue. Performed exploratory data analysis using Pandas on 3,00,000 data points and the impact on the price were visualized using seaborn plots. Optimized KNeighborsRegressor, Linear Regression, XGBRegressor and CatBoostRegressor to reach the best model with a cross-validated accuracy score of 99.9%. 2. Deep Learning Model in Keras Built an image classifier using pre-trained ResNet50 and VGG16 convolution neural networks and compiled using adam optimizer and SoftMax loss function. ResNet50 model had an accuracy rate of 95.2% with a loss value of 0.11 whereas the accuracy of VGG16 is 99.6% with a loss value of 0.007 3. Retail Price Optimization Created a Retail Price Optimization model using Linear Regression Algorithm. Estimated the price elasticity for each product using past sales data and optimal price for maximum profit is calculated. 4. Resume Parsing Algorithm Used Spacy for resume parsing to automate the process of screening and shortlisting candidates. Implemented OCR using Apache Tika to extract texts from PDF files.