SRINIVASA ARUDRA PHANI BHUSHAN KOLLA

adh6i8@r.postjobfree.com 813-***-**** Tampa, Florida LinkedIn.

SUMMARY

• 2.5 years of work experience in Software Development, Data Analytics.

• Expertise in Python, R and data visualization using Tableau EDUCATION

Master of Science in Business Analytics and Information Systems Jan 2020 - Dec 2021 University of South Florida GPA: 3.89

B.Tech in Electronics and Instrumentation Engineering. Jun 2012 - May 2016 National Institute of Technology Agartala. GPA: 3.8 TECHNICAL SKILLS

Programming/Scripting Languages: Python, C#, R, Swift, JavaScript, SQL Development Tools: Git, Visual Studio, Cassandra, MVC, Sublime, Jupyter notebooks, .NET Core, Node js, REST APIs Analytics Tools: Power BI, R Studio, Spark, Tableau, MS Excel. EXPERIENCE

Student Assistant, University of South Florida Information Technology, Tampa, FL Aug 2020 - Present

• Created Power BI Reports for filtering the rooms having in-person class at a given time for a department which is being used by the USF IT for better allocation of resources.

• Train students and professors across the university and provided technical consultation on how to effectively use MS Teams, Canvas for e-learning, and teaching.

Data Science Intern, Varistor Technologies, Bangalore, India Feb 2019 - Aug 2019

• Built a Machine Learning Model to extract keywords/topics from product reviews and analyzed using the NLTK library in Python. Enhanced the e-commerce website resulting in a 15% increase in Web Traffic after deployment.

• Performed market analysis for pricing a product, collected data by scraping data from various E-commerce websites. Analyzed data in Python using Pandas, NumPy, and visualized it using Tableau dashboards. Software Engineer, Mphasis Ltd, Bangalore, India Jul 2016 - Aug 2018

• Developed an iOS application for tracking shipments, Changing Delivery options for international logistics client in an agile environment.

• Integrated Google APIs into iOS Application for finding routes, addresses, and nearest FedEx stations.

• Assisted the QA team in preparing test plans, test cases based on the client requirements.

• Worked on a Windows App Development project for creating shipments. Successfully released and provided support for 2 releases.

• Used Git version control for handling changes in the project. Resolved defects, performance issues in fast-paced production, and live environment.

PROJECTS

Image Recognition using Deep Neural Networks

• Collected data, implemented data augmentation, and built a custom model using CNNs to classify pool balls based on the categories.

• Used regularization techniques like dropouts, network architecture optimization, and batch normalization to reduce the risk of overfitting.

Estimation of Healthcare cost and Healthcare Quality in OECD Countries

• Build statistical models to estimate the factors affecting Healthcare-cost and quality for 26 OECD countries for 6 years.

• Analyzed factors driving higher health care costs with moderate quality in the US compared to other developed countries. KPI- Incorporating population into Public Insurance by 1% decrease Medical Expenses by $63 per person in the US.

Loan default prediction using Spark

• Worked on the Lending Club dataset from Kaggle, consisting of nearly 1 million rows and 75 features.

• Used feature engineering technique (Boruto), domain knowledge to select 35 important features out of 75 features.

• Achieved a satisfactory f1 score of 94% as our data set is moderately imbalanced, goal was to predict bad loans.

Contact this candidate