Pradeep Kumar Paladugula

LinkedIn: /in/pradeep-kumar-paladugula Email: adh7hu@r.postjobfree.com GitHub: @pradeep-kumar-1994 Phone: +1-330-***-****

EDUCATION

Master of Science in Computer Science (3.85) August 2018 - Present KENT STATE UNIVERSITY Kent, Ohio, USA

Bachelor of Science in Computer Science May 2012 - May 2016 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY Hyderabad, India

WORK EXPERIENCE

Advanced Telerobotics Research Lab Kent, Ohio, USA

Data Scientist May 2019 - Present

Tools: Python, Kafka, Hadoop, Spark(PySpark), Flask, and Tensorflow

● Designed,and developed a data lake architecture(distributed system) using open source technologies capable of handling real-time streams such as Kafka, HDFS, Spark and Flask web framework

Streaming data for test run for 30 mins approx, where the into Kafka & JSON format

An ETL pipeline with Python and Spark for reporting analysis

● Anomaly detection for fan speed from astronaut’s sensory information as part of NASA SUITS Challenge under Kent State University (Top 10 team)

● Implemented clustering algorithm with 93% classification accuracy for predicting group data points generated by an autonomous robot

Data Analyst Intern Sept. 2017 - May 2018

Sailotech Pvt Ltd Hyderabad, India

Tools: Python, Django framework, Plotly

● Implemented a dashboard for time series forecasting with 80% test set accuracy

● Presented insights to end user with Interactive dashboards to aid their decision making process

● Python pandas framework for making into a time series pandas dataframe and statsmodel.tsa

Ennovator Ingineering Hyderabad, India

Jr. Data Analyst July 2016 - January 2017

● Researched and analyzed data such as quantities, employee work from mining site of Singareni Collieries

● Demonstrated presentation skills by giving information to clients for better insights to make their decisions

SKILLS & TECHNOLOGIES

● Languages: Python, C, Java

● Frameworks: Tensorflow, Pandas, Numpy, Flask, Scikit-learn, Plotly, Matplotlib, MLlib(Spark)

● Machine Learning algorithms

Supervised Learning: Linear Regression, Logistic Regression, SVM, Time-Series, Decision Trees

Unsupervised Learning: Clustering, Dimension Reduction(PCA)

● Application & Other Technologies: Kafka, Spark,

● Databases: MongoDB, Redis, SQL

● Visualizations: Tableau

AWARDS & ACCOLADES

● 2020 Best Paper award for research publication: Large Scale Distributed Data Processing for a Network of Humanoid Telepresence Robots. Project:GitHub - an architectural design and implementation designed for capturing data generated by a robot and capable of real time processing.

● 2019 1st Place at KentHack Enough (MLH Hackathon) from 87 participants. Project: Smart City Trash Can - an IoT enabled trash can that performs object/trash classification to identify recyclables.

● 2019 Best Social Good Hack Award by SkaleLabs at ETHBoston 2019. Project: AbleCoins - a cryptocurrency android application designed for elderly individuals.

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