ANUP BHATT
Phoenix AZ 215-***-**** adzssv@r.postjobfree.com
Veteran Software Development Team Leader experienced at navigating development obstacles to provide consistent performance and reliable contract fulfillment. Trusted provider of steady service and technical supervision through software engineering phases. Ambitiously pursues exceptional customer satisfaction and superlative revenue generation.
Master of Science: Information Technology, Data Science, Expected in 12/2023 Arizona State University - Tempe, AZ
Cumulative GPA: 4.0
Bachelor of Engineering: Computer Science, 08/2012 Visvesvaraya Technological University - Belagavi, KA Team Lead, Software Engineer, 12/2016 - 12/2021
KMCost – Mumbai, India
Designed and delivered data driven insight solution for cost accountant customer base Integrated RPA driven data collection for data warehousing as an update Enabled customer to gain 30 % productivity in performing cost accounting tasks Minimized resource and time losses by addressing employee or production issue directly and implementing timely solutions Developed monthly and daily production output plans to deliver on customer service and financial metrics Software Development Engineer, 01/2013 - 08/2016
Hewlett Packard Enterprise – Bengaluru, India
Designed and developed Customer relationship management systems based on Salesforce and ServiceNow models Worked with Data Analysis Team and integrated Data Warehousing APIs into CRM systems Used Active Directory IAM to provide secured access to applications Revised, modularized and updated old code bases to modern development standards, reducing operating costs, and improving functionality. Tested application in production environment and provided updates on regular basis to ensure quality and function as per 95 % availability requirement Deep Learning with PyTorch: Zero to GANs [Jovian.ai] - Built a Deep Learning model to detect the occurrence of pneumonia among patients' chest X-Rays with 93 % accuracy
Data Analysis with Python: Zero to PANDAS [Jovian.ai] Built a Data Analytics pipeline to predict the house prices over time using Machine Learning with RMSE below 5 %
Data Engineering with SQL, Databricks and Couchbase: Simulated a stock-market database solution to optimize queries and increase throughput by 15 % over the base case
Amazon AWS Cloud Engineering
SQL - MySQL, Oracle, MS SQL Server, Amazon RDS, Google BigQuery MS Azure Architect - AZ 304 certified
Java Developer
Data Analysis & Visualization - Tableau
Python Developer
Information Systems Assessment
Worked in Linux environments - Fedora, Ubuntu
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