Jagadeesh Bandaru

As a recent graduate from Western Illinois University with Master's Degree in the field of Applied Statistics and Decision Analytics, I’m more enthusiastic about data and information, so that is gives me more curious about data and learning to classify the information with using different tools. Some of my motivations to achieve my goals.

Freelancer Experience with EAM Application

• Enhancing or adding new features to the EAM Application as per the demand to improve its efficiency.
• Adding Ext js extensions as per the customer requirement. Developed standalone tools using java.
• Writing Procedures, functions, triggers to meet the requirements. Worked on Infor ION Desk to integrate with the 3rd Party Customer.
• Developed a deployer tool for the Equipment utility to increase the speed of deployment and accuracy, which has now been utilized by many customers.

McDonald’s Nutrition Analysis using R

• Data is processed by imputation, the observations with missing values are removed. Energy is converted into a binary categorical variable. Data is partitioned into training data and validation data.
• Generated visualization reports, did Multiple Linear & Logistic Regression analysis and Neural Network Model Building

Credit Limit Prediction using R   

• Credit data is explained using full logistic regression where data is partitioned into training data and validation data.
• Credit limit is predicted by considering based on age, salary, rating and some attributes and generated report like Data Visualization, Multiple Linear & Logistic Regression and Classification Tree Analysis, ggplots.
• The Neural Network Analysis did with one hidden layer and build 3 models with 10, 5, 2 neurons in the hidden layer.

I have recently completed my Master’s degree with a focus on data science and analytics. Throughout my academic journey, I have acquired a deep understanding of statistical analysis, machine learning, and data visualization techniques. I am adept at using programming languages such as Python and R to manipulate and analyze large datasets, as well as to develop predictive models.

During my coursework, I have gained hands-on experience in working with real-world datasets and applying various statistical techniques to uncover meaningful insights. I have also utilized machine learning algorithms to develop predictive models, effectively solving complex problems. Moreover, I have experience with data visualization tools such as Tableau and Power BI, enabling me to present data-driven insights in a visually appealing and easily understandable manner.

In addition to my technical skills, I possess excellent problem-solving and critical thinking abilities. I can approach complex data challenges with a logical and analytical mindset, ensuring accurate and actionable results. Furthermore, I am a fast learner and highly adaptable, consistently keeping up with the latest advancements in the field of data science.

While my experience primarily lies in academic projects, I am confident that my theoretical knowledge and practical exposure have equipped me with the necessary skills to excel as a Data/Business  Analyst. I am eager to apply my skills in a professional setting and contribute to the success of your organization.

As a motivated and dedicated individual, I am accustomed to working both independently and collaboratively. I have actively participated in group projects, where I effectively communicated and collaborated with team members to achieve project objectives. I believe that teamwork and effective communication are vital for driving impactful outcomes.