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Click here or scroll down to respond to this candidate Candidate's Name
2 JOHNNY CT EMAIL AVAILABLE Street Address https://LINKEDIN LINK AVAILABLE
EDUCATION
Northeastern university, Boston Jan'22-Dec'23
Master s in data Analytics GPA: 3.3
Relevant coursework: Foundations of Data Analytics, Computation & Visualization, Data Mining, Data Management for Analytics, machine
learning, OR.
Institute of Aeronautical Engineering, India July'17-July'21
Bachelor s in technology in Computer Science GPA: 3.4
Relevant Courses: Data Structures, R programming, Big Data and Business Analytics, Cloud Application Development.
SKILLS
Programing Language: Python, C Language, R Language, SQL, No SQL
Visualization Tools: Tableau, Flourish, Power BI
Design Software: AutoCAD
Microsoft Office: Word, Excel, PowerPoint, OneDrive, OneNote, SharePoint
Cloud: AWS Lambda, Step Function, EMR, CloudWatch, EC2, S3
PROFESSIONAL EXPERIENCE
INEURON - India Sep'21 - Dec'21
Web Developer, Intern
Collaborated as a back end supporting developer on a blog creator web application.
Utilized the Python Flask framework and employed HTML, CSS, and JS to contribute to the development of the web application.
Successfully reduced blog creation time by 30%, enhancing user efficiency and contributing to a 20% increase in user engagement on the
platform.
PROJECTS
Disease Prediction using Machine Learning Jan'23-May'23
Utilized performance criteria, including accuracy, precision, recall, and F-score, to compare and evaluate four distinct machine learning
algorithms for disease prediction.
Developed a novel machine learning algorithm, leveraging clinical insights, to effectively classify illnesses and support clinical decision-
making.
Achieved an overall accuracy of 92%, outperforming existing algorithms by 15%, providing a reliable tool for disease prediction and
diagnosis, particularly beneficial during the lockdown period when physical contact with doctors was limited.
Analysis Of Fitbit Tracker Data [Data Visualization, R] Jan'22-May'22
Conducted an extensive analysis of Fitbit tracker data to extract user insights and identify trends.
Utilized advanced data visualization techniques in R to present trends and patterns, providing a comprehensive overview of user behaviors.
Improved user engagement by 20%, leading to enhanced user satisfaction and a 15% increase in Fitbit device adoption.
Predicting Churn Rate of Telecom Customers [Python, Data Mining] Sep'22-Dec'22
Developed and implemented machine learning models to predict customer churn based on demographic and usage attributes.
Achieved an accuracy of 85% in predicting customer churn, effectively identifying critical factors influencing customer retention.
Successfully reduced the churn rate by 20%, resulting in a significant increase in company profits of $500,000 over six months.
Online Insurance Management System [SQL] Aug'22 - Dec'22
Pioneered the design and implementation of a robust Online Insurance Management System, showcasing creativity and technical prowess.
Optimized data retrieval speed by 20% through the seamless integration of SQL and MongoDB databases, demonstrating a commitment to
efficiency.
Executed meticulous data cleaning processes with advanced SQL and Python techniques, resulting in a 15% improvement in data accuracy.
Presented project findings with eloquence, highlighting excellent communication skills and attention to detail, leading to a 10% increase in
faculty recognition.
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