Sriram Gopal Email & Phone Number

Tampa, Fl, Us

Thousand Oaks, Ca, Us

Thousand Oaks, Ca, Us

Worldwide, Oo

Houston, Texas, Us

• Architected end-to-end automation solutions for the client to increase productivity & efficiency for cost cutting & process improvement• Modelled an Image classification program of electrical equipment images with ~99% accuracy using TensorFlow and Google Auto ML and deployed in AWS• Saved several man hours monthly by automating a text extraction task, then processed the text using (regex) Regular expressions for pattern matching, followed by intelligent decision making.Tools and Technologies: Python, Excel, TableauPlatform: AWS Lambda, EC2, S3, Dynamodb; Jupyter notebooks Methods and Packages: Tensorflow, Google Vision, Regex, Python selenium, OpenCV

Tampa, Florida, Us

• Performed analysis to understand the economic health of several cities to identify the best location for the bank to target their business• Comprehensive Data Collection, Data cleansing and Wrangling of 60+ variables, for 12 years• Provided multiple analytic solutions and insights to help the client reach the right market• Created a composite index, using multiple variables, that forecasts Housing and Auto loan sales with 94% accuracy• Developed an economic forecast model in “R” for a statistical analysis of their current strategies• Techniques: ARIMA, Time Series, Google Trends, Regression, AHP Software: R, MS Excel, MySQL.

Mumbai, Maharashtra, In

• Led a team of 4 members to successfully physically install and integrate an energy management solution across 25+ locations in India• Provided extensive consulting and cost-benefit analysis to several clients on energy usage optimization and best practices• Showcased KPI’s, Data availability & Quality, Pattern analysis for data from 25000+ datapoints in Tableau by integrating with the database • Developed a budget prediction tool in R using Time series analysis to forecast energy expenditure across units on a weekly, monthly and quarterly basis, predicting the future energy consumption with 99% accuracy, saving the margin for allocation by 50000$ per month• Designed and led an energy saving initiative, in 10+ locations targeting the KPI’s and optimizing them, which resulted in an additional saving of 200,000 units (10%) over and above the target saving of 2 Million units• Using forecasting techniques, conceptualized a UPS resizing program, and optimized HVAC performance by mapping the HVAC consumption with the number of employees, under the Corporate Green Energy Initiative that led to a saving of 1 Million units per year • Implemented a data cleaning algorithm in python that automatically cleans 95% of the noisy data before entering the database

Master'S Degree, Business Analytics And Information Systems

Bachelor Of Technology (B.Tech.), Mechanical Engineering