I am a final year Electronics and Communication Engineering student at the Indian Institute of Information Technology, Manipur, with a strong academic foundation and a CPI of 8.54. My interests lie in software development, web development, data science and machine learning, and I have consistently pursued opportunities to expand my skills in these fields. Certifications from IIT Bombay in Advanced C++ and IBM in Web Development complement my technical expertise, allowing me to tackle complex problems with a structured approach.This past summer, I interned with ITC Pvt. Ltd., where I conducted market segmentation using clustering techniques, pinpointing key areas for store expansion. I also developed data visualization dashboards, making it easier for management to interpret and act on the insights. My technical project experience includes creating a Mart Sales Analysis model, where I worked with a complex dataset to enhance prediction accuracy, and an Event Management System that supports seamless event tracking through an SQL-based database system.Looking forward, I aim to grow as a Software Development Engineer, leveraging my knowledge in programming languages like C++, Python, and SQL to make impactful contributions. My goal is to innovate and drive solutions within the tech industry, focusing on data-driven decision-making and software engineering. I am excited about opportunities that allow me to apply my skills in real-world scenarios, collaborate with industry professionals, and continue building a strong technical career. I am actively seeking career opportunities that will enable me to utilize my strengths in data-driven decision-making, software development, web development and machine learning.Contact me at: swarnsuman004@gmail.com
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Sde InternLagoonNoida, Up, In -
LeadAndroid Development Club Nov 2023 - PresentIiit'M
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ContributorGirlscript Summer Of Code May 2024 - Aug 2024 -
Data Science & Analytics InternItc Limited May 2024 - Jul 2024-> Conducted comprehensive market segmentation analysis using clustering techniques, identifying high-potential regions for ITC store expansion.-> Cleaned and preprocessed sales and demographic datasets to address missing values, outliers, and inconsistencies, ensuring high-quality inputs for analysis and modeling, resulting in a 30% increase in model accuracy.-> Developed data visualization dashboards to present key findings, enabling clear communication of business recommendations to ITC management. -
Campus AmbassadorEli5 Feb 2023 - Nov 2023
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