Machine Learning Data Science

SARODE ERANNA HARINATH

VISHAL .

Bangalore, India

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https://www.linkedin.com/in/vishal-sarode-685a8537/ https://github.com/sarodevishal/projects

Career Profile

Postgraduate in MSc Data Science and Computational Intelligence from Coventry University. Confident in delivering concise statistical and business reports to the technical team and global clients, as well as using business insights and analytical tools (Tableau, Power BI) within the constraints of data programming (R, Python), albeit with 2+ years of experience as a Product Engineer in healthcare domain and a 1year of apprenticeship as a data analyst. Seeking a responsible professional role where I can fully utilise my technical, numerical,analytical, and communication skills while making a significant contribution to the advancement of the organisation.

Professional Skills

Database: SQL Server writing queries(Insert,delete,update,joins) Spreadsheet: MS office,Advance Excel-VBA Tool, Certified google Analytics Programming and analytics: R, Python 3, MATLAB,XML Web Design Technologies: HTML, CSS, XML,JSON

Cloud Computing: Certified Microsoft Azure Cloud Computing Visualisation Tools: Tableau, Microsoft Power BI

Bug Tracking Tool: Bugzilla, Jira, zohodesk

Education

Coventry University (Coventry United Kingdom) September 2021 – November 2022 MSc Data Science and Computational Intelligence

Key modules: Python Machine Learning, Statistical, Artificial Neural Networks, Statistics, Information Retrieval, Data Modelling, Big Data and data visualisation, Data Management System. Dissertation Projects:

Study on Cyberbullying detection on various social media platforms using Machine Learning and Deep Neural Network Techniques: In this project I have used Python,machine learning (SVM,NB) and the deep learning Algorithms(LSTM,CNN,BLSTM) that can be used to detect types of cyberbullying cursed words and comparing the results from the original paper to reproduce the paper and find the better model to fit. Projects:

• Classifying Stroke Disease Analysis Using Machine Learning:In this project I have used python open source libraries such as numpy, pandas, scikit learn,used various algorithm such as Random Forest, Support Vector Machine, XGBoost,Logistic Regression to predict and classify the stroke diseases and find the best model by comparing the accuracy, F1 score and RUC Curve.

• Developed a vertical search engine for coventry university:In this project I develop a search engine like Google Scholar but specialised to retrieve only papers/books published by a member of the School of Life Sciences (SLS) at Coventry University. I have used the website link.

• Credit Risk Analysis on classification and prediction using an Artificial Neural Network: In this Project I am analysing to find the people who are churning out from the various European bank by using artificial Neural Network.I have used matplotlib for the visualisation of the data.

• Twitter Sentiment Analysis : Created a text analysis using Latent Dirichlet Allocation (LDA) and Compare with Linear Semantic Analysis(LSA) algorithms on tweeter dataset to find the best model to analyse emotions of the text.

• Crime rate prediction rate in Chicago state by using PySpark, Hadoop and Machine learning: The purpose of the research is to predict where and when crimes will occur, as well as which parts of the city have developed through time to accommodate specific crime types. This project utilises Spark and visualises the crime data using tableau. Bachelors of Technology

Jawaharlal Nehru Technology University of Hyderabad (India) September 2014 – May 2018 Bachelors in computer science and Engineering

Experience

Itech Workshop (Bangalore- India) March 2024 – Present Product Support Engineer

• Provide (L2 & L3) product support via email & online web tools and servers and handle troubleshooting tickets to determine the root cause of problems in a timely manner and learnt organisational skills.Interacting with 3rd party vendors such as Clearinghouses, Vendors and Payers in resolving issues.

• Experience in building reports & pulling data from an electronic medical record and worked with procedures such as HIPAA claims.

NHS -(University of hospital Coventry and Warwickshire) March 2022 –November 2022 Senior Administrator

• Provide excellent customer service to patients and support the trust in delivering quality care to its patients.

• Handled the IPM product and making changes to circulation lists and procedures

• Handling, in and out patients, e-referrals, booking appointments and Handling crucial data of patient.Managing general carrying out CRRS reporting documents tasks Itech Workshop (Bangalore- India) January 2020 – June 2021 Product Support Engineer

• Provide (L2 & L3) product support via email & online web tools and servers and handle troubleshooting tickets to determine the root cause of problems in a timely manner and learnt organisational skills

• Interacting with 3rd party vendors such as Clearinghouses, Vendors and Payers in resolving issues.

• Experience in building reports & pulling data from an electronic medical record and worked with procedures such as HIPAA claims and Worked with Business Analyst team to understand the business needs and create ETL.Worked with cross functional team

• Running the Adhoc reports of the patients data list, clinics, diseases and maintenance reports as well as generating regular reports in SQL to assist operations

• Handled Database programming (SQL scripts), interactive SQL tool to access database tables and MS Excel analytics.

• Knowledge of Windows Server, Application Server (JBoss, WildFly) Bigdatamatica Solutions Pvt Ltd (Hyderabad-India)

Junior Data Analyst January 2019 – Oct 2019

• Created Responsive Websites feature using python and Django web framework

• Worked on Computer vision and implement projects on image segmentation and classification

• Cleaning, interpreting,manipulating data on various large data sets and presenting insights to the managers

•Working information requests to support particular operational and strategic goals, Modernising, automating, and simplifying procedures to enable smooth delivery of reports and dashboards with Power Bi

• Implemented on Natural Language Processing on Quora analysis

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