Python, SQL, Tableau, Git, Statistics, Probability

KARTHIK MADDUKURI

***********@*****.*** 773-***-**** https://linkedin.com/in/karthikmaddukuri https://karthik-maddukuri.github.io SUMMARY

- Motivated, enthusiastic, and result-driven data science professional experienced in gathering, cleaning, and organizing data from vast datasets and solving business problems

- Skilled in Python, SQL, Tableau, Big Data, Statistical Models, and Machine Learning concepts

- Strong collaborator and team player with excellent communication and analytical skills with a passion to learn and excel EDUCATION

MS in Computer Engineering Aug 2018 – May 2020

University of Illinois at Chicago

B.Tech in Electrical and Electronics Engineering Aug 2014 – May 2018 Jawaharlal Nehru Technological University

SKILLS

Technologies Python, SQL, Tableau, RapidMiner, MATLAB, Microsoft Office, Git Cloud & Databases AWS – S3, RDS, Redshift, SageMaker, Google Colab, MySQL, Hadoop ML Skills Statistics, Probability, Hypotheses Testing, A/B Testing, Feature Engineering, Regression, Classification, Clustering, Recommender System, Neural Networks Data Management Exploratory Data Analysis, Pattern Recognition, Data Visualization, Data Modeling Soft Skills Critical Thinking, Creative Problem Solving, Teamwork & Collaboration, Quick Learner PROJECTS

Pose Detection and Transfer (DO-AS-I-DO) Python, PyTorch, OpenPose GAN Feb 2020 – May 2020

- Created a framework to transfer the motion from source to target by a video-to-video translation model

- Generated pose stick figures of subjects using OpenPose & normalized them to account for body shape & size differences

- Transferred the target pose and improved the quality of the output video using Temporal Smoothing Predict Customer Churn in Telco Business Python RandomizedSearchCV, Classification Mar 2020 – Apr 2020

- Identified the factors affecting the customer churn and predicted which customers would leave using AdaBoost classifier

- Transformed the categorical features using OneHot Encoder and addressed multicollinearity using a cutoff VIF of 10

- Plotted the partial dependence of features & improved ROC-AUC score by hyperparameter tuning using Random Search Salary Prediction Python, Tableau Data Analysis, Feature Engineering, Regression Jan 2020 – Feb 2020

- Predicted the salaries for the job postings using a gradient boosting regression model

- Performed exploratory data analysis to look for patterns and correlations in the data using Python and Tableau

- Boosted the performance of the model by feature engineering and reduced the mean square error by 12% Analysis of Airlines, Airports, and Airline routes Python, SQL Data Analysis Dec 2019 – Jan 2020

- Extracted and cleaned the data from the database using SQL and Python to prepare it for data analysis

- Analyzed the distribution of route lengths, international routes, airline-specific routes using Folium package in Python to create a fully interactive map of airports

Predict 2018 U.S. Senate Elections Python, SQL, Tableau Regression, Classification Oct 2019 – Dec 2019

- Predicted the number of votes cast for each party in each county using Ridge regression and classified each county as Democratic or Republican using SVM

- Improved classification accuracy by 5% by optimizing the hyperparameters using Grid Search

- Designed a map in Tableau to visualize the Democratic & Republican counties with their demographic features EXPERIENCE

Graduate Assistant – University of Illinois, Chicago, IL Feb 2019 – Present Data Analysis Python, SQL, Tableau

- Update and maintain the MySQL database to ensure current ticketing data is available for use

- Analyze the IT ticketing data to reduce the resolution time of tickets by 10% per semester

- Segment the tickets across status, assignee, category, priority using classification techniques

- Create biweekly reports in Tableau to view the trend of tickets across time, priority, resolution times, agent performances

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