Ranadheer Reddy Sheelam

Applied Data scientist

Email : admf61@r.postjobfree.com

phone : +91-902*******

Linkedin www.linkedin.com/in/ranadheer-reddy-sheelam-579ab4140 Professional Summary

Data Scientist with strong math background and 1.3 + years of experience using predictive modelling, data processing, and data mining algorithms to solve challenging business problems. Involved in the Python open source community and passionate about deep reinforcement learning. Work History

Data Engineering Trainee 2020-11 - 2020-12 MedTourEasy Hyderabad Telangana

● Understanding healthcare-specific EMR data models, catalogue data dictionaries, and map data elements to standard data specifications.

● Worked closely with technology teams to understand processes and policies driving the team goals.

● Identifying patterns and trends in data sets

● Document and improve data mapping and data element identification processes across the entire data ingestion team.

Data Engineer Intern 2020-10 – 2020-11 The Sparks Foundation Hyderabad

● Work on Data Architecture and Collect the Data

● Conducting Research then Improve the skills and generate valuable business insights

● Create models and identify patterns then Automate the Task Certifications

Data Science and, Machine learning certification by IBM through Innomatics Research Labs Software Skills

NLP and Deep Learning: - Text mining, FNN, CNN, RNN with TensorFlow, Keras and Pytorch. Machine Learning :-Linear regression, Logistic, Naive Bayes, and Decision tree, Random Forest, KNN, K-means clustering, Time Series and SVM

Databases :- SQL

Skills: - Python, Numpy, Pandas, Data Visualization, Web scraping. Software Skill :- C language, HTML, MATLAB

Projects Worked On

Web Scraping (Python): - Web scraping, Extracting Indian EnergyExchange (IEX) data from IEX website, making analysis of data and performing certain visualization on data. House Sale Price Prediction using Machine Learning: - House sale price prediction on Melbourne In this study data set is taken from Kaggle consists of 83 attributes subjected to the household sales price.

Implement a DNA Classifier using NLP: - Classified a model that can predict a gene's function based on the DNA sequence.

On Deep Learning: - Based on the chest X-rays. Classified model that can predict an image and say that the person is having disease or not.

Final Year Mini Project on.NET

Social Media Application For this project we have developed a Web page using .net programming language. The Web page allows the users to communicate with each other and share their photos with friends.

Final Year Major Project on Smart cart

There has been an emerging demand for quick and easy payment of bills in supermarkets. This project describes how to build an automated and time saving system for the world of retail which will make the shopping experience impetuous, customer friendly and secure. In this paper, a smart cart is proposed that will be capable of generating a bill from the cart itself, using RFID Scanner which will Scan barcodes on the product. Education

Bachelor of Technology: Computer Science & Engineering 2014 -2018 Lovely Professional University Punjab

Intermediate: MPC 2012 - 2014 Sri Chaitanya Junior College Hyderabad - 85 % SSC: 2011 - 2012 Scholars Grammar School Siddipet - 7.5 CGPA Declaration

I hereby declare that the information furnished above is true to the best of my knowledge. Regards

Ranadheer Reddy

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