Ishaan Burman

Computer Science Engineering pursuant with a strong foundation in both technical and business systems. Seeking an entry-level position to apply my analytical and problem-solving skills in a dynamic organization where I can contribute to the development and optimization of business processes through technology. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

1.Trinity school of Music certified Grade-4 guitarist 

2.4-star coder in Hacker rank 

3.Represented SRM university twice in MUNs (PECON-2021 & SSNMUN-2022) 

4.Pursuing a course in Data Science and Machine Learning through Upgrad

1.Development of an application for QUIZ, An intermediate level project which comprised of developing a quiz game using C language where a user is given a fixed set of questions and is assigned a total score depending on the number of questions answered correctly. 

2.Designing an Inventory Management system, A group project consisting of 3 members where we designed an inventory management system using SQL which consisted of different products with their quantity in stock and price. The project also consisted of customer names along with their respective locations and products purchased. Played the role as a core developer that designed the different table structures along with the information that is required for the respective tables. 

3.Capstone Project on Data Science designed by Upgrad, Currently working on a project designed by Upgrad wherein as a consultant of a Non-profit organization, a detailed analysis and review of hospitals in America is designed to help customers(patients) make better choices. This project involves the application of various concepts such as Data Loading and Analysis along with few components of Machine learning.

4.Signature Verification System,Collaborated in a group to design and develop an advanced Signature Verification System aimed at detecting fraudulent signatures. Our       project involved:

• Data collection: Compiled an extensive dataset of authentic and forged signatures to enhance the system's accuracy.
• Algorithm Development: Implemented sophisticated algorithms in Python to analyze and compare signature patterns.
• Fraud Detection: Enabled the system to effectively differentiate between genuine and fake signatures, significantly improving fraud detection rates.

Technologies used: Python

5.Designed an interactive dashboard on Tableau, As part of a Data Science and Business Analytics course designed by UpGrad, developed an interactive dashboard to analyze and understand debt patterns using data from the Lending Club dataset. Key aspects of the project included:

• Data Analysis: Cleaned and processed large datasets to extract meaningful insights.
• Dashboard Design: Created a user-friendly, interactive dashboard for visualizing debt trends and patterns.

6.Twitter Sentiment Analysis, Developed a Twitter Sentiment Analysis System aimed at classifying sentiments in tweets as either positive or negative. The project utilized the sentiment140 dataset and incorporated comprehensive data preprocessing techniques to ensure accuracy and reliability in sentiment classification.

Technology Used:

• Programming Languages and Tools: Python
• Data Processing: Pandas, NumPy
• Data Visualization: Matplotlib, Seaborn, WordCloud
• Machine Learning Models: Bernoulli Naive Bayes, Support Vector Machines (SVM), Logistic Regression

• Data Structures and Algorithms
• Database Management Systems
• Software Engineering
• Business Information Systems
• Computer Networks
• Principles of Management
• Business Analysis
• Data science

Machine Learning by IBM