Data Analyst Tableau

Varun Reddy Adla

571-***-**** https://www.linkedin.com/in/varun-adla/

*****.******@*****.*** https://github.com/varunreddyadla https://varunadla.weebly.com/

Technical skills

• Python, R Language, SQL, C, JAVA

• MySQL, NoSQL, Snowflake, SQLite, Microsoft SQL Server, Oracle, IBM DB2

• Tableau, Power BI, Qlik, Weka, AWS

• Hadoop Framework, MATLAB, ETL, SAS, SPSS, SSIS, APIs

• Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Data science, Data Mining, Data Warehousing, Data Modeling, Data Visualization, Databases, Cloud, Analysis, Linux, Unix, Advanced Excel Functions.

Professional Experience

Data Analyst Intern,

Accure AI Inc, VA.

January 2020 - May 2020

(Deep Learning based on Computer Vision)

• Developed an Object detection algorithm to detect Potholes on road surfaces using Deep Learning based on computer vision. Implemented YOLO Model for detecting the potholes.

• Developed the model with a mean average precision of 52.68% at 5200 iterations and with a learning rate of 0.000010.

• Tested the model on real-time video and detected potholes with a confidence of 98% detection rate and recorded the geographical coordinates of the pothole. Visualized Model Performance using Tableau for Better understanding.

• This project is published in George Mason University Annual Report 2020 https://www.linkedin.com/school/george-mason-university-volgenau-school-of-engineering/ and GitHub repository for this project https://github.com/varunreddyadla/darknet Graduate Research /Teaching Assistant,

George Mason University, VA.

August 2019 - May 2020

(Python, Machine Learning, Linux)

• Assisted Professor in research projects to Compare Student’s Learning Performance between a Distance Learning and In-class Sections Based on their Navigational Behaviors Pattern. And Predicting, guiding the students who are in the risk zone of Failing the Mid-term.

• In the process of Data collection, Data Manipulation, Data modeling techniques such as Naïve Bayes, k- Nearest Neighbor, Support Vector Machine have been performed to predict with an accuracy of 70.21%.

• Mentored students by conducting Office Hours, Proctored Tests, and one-on-one checked assignments. Data Analyst Intern,

CamDely, Magazine Hyderabad, India.

January 2018 - November 2018

(SQL, Tableau)

• Developed and implemented a relational database based on business rules and data collection systems.

• Acquired structured data using Scan Tools with the help of SQL. Improved data efficiency by 45%.

• Helped in analyzing regular trends, Add-ons, etc using Tableau. Created dashboards for daily monitoring purposes.

Education

Master of Science - Data Analytics Engineering 3.6/4.0 GPA George Mason University, Fairfax, Virginia. May 2020 Certifications

• Tableau Analyst (2020)

Tableau - https://www.youracclaim.com/badges/6553d442-1b22-4e11-a322-2ab5554d20a4

• Databases and SQL for Data Science (2020)

IBM - https://coursera.org/share/e3f0b3bfa2324c3123733bdd7e8cc459

• Python for Data Science and AI (2020)

IBM - https://www.coursera.org/account/accomplishments/certificate/6R68299J3XF9 Academic Experience

Cardiovascular Disease Prediction. December 2019

(Python, Tableau)

• Developed the Machine Learning models which can predict the Major Factors which are causing Cardiovascular diseases.

• Explored the data by visualizing it using Tableau

• Predicted factors like high Cholesterol, older AGE has a higher impact on CVD compared to factors like alcohol consumption and smoking with an accuracy of 71.8% using Support Vector Machine. Airline Project by Analyzing Demographics for Marketing Optimization. May 2019

(R Programming Language, Tableau)

• Examined the Airline dataset and Marketing dataset to predict whether the customer would prefer the airlines or not.

• Predicted the platform which is best suitable for an airline company to promote its airline and implementing better promotions to reach maximum customers.

• Visualized the leading Marketing platforms like YouTube, Facebook, Instagram using Tableau and promotions like Discounts to repeated customers, group discounts, free baggage, and better service can be used to reach out to maximum customers.

The United States Pollution Dataset. March 2019

(Tableau, R Programming Language)

• Examined the dataset to find the states where the Air Quality Index value is more than the moderate level.

• Visualized the increase in Air Quality Index value every year using Time Series using Tableau and R Programming language.

• Where California stands first in the risk zone with an AQI above 101% followed by Pennsylvania and Texas. Which are needed to take immediate action to control AQI values to maintain a suitable atmosphere for a living.

500 Cities Data set for Better Health. December 2018

(Tableau, R Programming Language)

• Examined and visualized the data to identify the major cities in California, Texas, New York which are facing health issues using Tableau.

• Visualized categories like Age, population, habits which are causing health issues using tableau. These states must be given little advantage while making health policies, establishing health care centers, prevention centers.

• These states are given the highest priority due to the highest population living in these states.

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