S

Sumit Prasad

Business Development Executive

Mumbai, Maharashtra, India0 mo experience

Key Highlights

  • 2nd Place in Codefiesta North-East India Coding Competition
  • LeetCode Knight with a rating of 1,869
  • Media feature on 90FM for JEE/MHT-CET preparation strategy
Stackforce AI infers this person is a Data Analyst and Full-Stack Developer with expertise in Fintech and SaaS.

Contact

Skills

Core Skills

Data AnalyticsPythonData AnalysisData VisualizationRisk Assessment

Other Skills

API IntegrationAlgorithmsAmazon EC2Amazon RedshiftAmazon S3Amazon Web Services (AWS)Analytical SkillsBack-End Web DevelopmentBootstrap (Framework)Business UnderstandingC++Cascading Style Sheets (CSS)Clipdrop APICommunicationComputer Engineering

About

I’m a passionate Data Analyst & Full-Stack Developer, currently pursuing a B.Tech in Computer Science and Engineering at NIT Nagaland (CGPA: 8.71). I enjoy solving real-world problems by transforming raw data into actionable insights and building scalable web solutions. 🔍 Data Analyst I've successfully completed multiple real-world data analytics projects and a virtual internship at Trainity. My toolset includes Python, SQL, Power BI, and Excel, with proficiency in EDA, data cleaning, predictive modeling, and building interactive dashboards. I’ve analyzed loan default risks, visualized healthcare trends, and created financial and sales dashboards that support strategic decision-making. ➡️ View Data Projects 💻 Full-Stack Developer As a developer, I build full-stack applications using MERN, Flask, Node.js, and Express.js. I’ve developed a school management system, a job career portal, and an Airbnb clone—deploying them on platforms like Render and Vercel. I’m proficient in REST API development, database integration (MySQL, PostgreSQL, MongoDB), and responsive UI design using HTML, CSS, and JavaScript. ➡️ View Web Projects 🏆 Highlights • 2nd Place — Codefiesta North-East India Coding Competition • LeetCode Knight with a rating of 1,869 • Media feature on 90FM for JEE/MHT-CET preparation strategy 📫 Let’s connect and build something meaningful together — whether it’s with data, code, or both.

Experience

0 mo
Total Experience
--
Average Tenure
--
Current Experience

Trainity

Data Analytics Virtual Intern

Sep 2024Oct 2024 · 1 mo · Remote

  • Data Analytics Virtual Internship
  • Engaged in a virtual internship focused on the application of data analytics to real-world scenarios, enhancing analytical and problem-solving skills through hands-on projects.
  • 1. IMDB Movie Success Analysis
  • Problem Statement: Investigated the factors influencing the success of movies on IMDB, defined by high ratings. This analysis is crucial for movie producers, directors, and investors seeking to understand the determinants of a movie's success for informed decision-making.
  • Data Cleaning: Preprocessed the dataset by handling missing values, removing duplicates, converting data types, and performing feature engineering as needed.
  • Data Analysis: Explored relationships between various variables, such as genre, director, budget, and release year, to understand their correlation with IMDB ratings. Employed the Five 'Whys' approach to delve deeper into findings, uncovering root causes and insights that drive success.
  • 2. Loan Default Risk Analysis
  • Project Overview: As a data analyst at a finance company, addressed the challenge of loan applicants with insufficient credit history who default on loans. The objective was to conduct Exploratory Data Analysis (EDA) to identify patterns and ensure capable applicants are not rejected.
  • Risk Assessment: Analyzed two main risks faced by the company: the potential loss of business from rejecting creditworthy applicants and financial losses from approving unqualified ones.
  • Data Insights: Worked with a dataset of loan applications, distinguishing between customers with payment difficulties and those who made timely payments. Evaluated outcomes of loan applications, including approvals, cancellations, refusals, and unused offers, to understand how customer and loan attributes impact default likelihood.
MatplotlibBusiness UnderstandingData AnalyticsKPI DashboardsExcel DashboardsPython (Programming Language)+14

Education

National Institute of Technology Nagaland

Bachelor of Technology - BTech — Computer science and engineering

Jan 2022May 2026

N.G. Acharya & D.K. Marathe College

Higher Secondary Certificate (HSC) in Science — Computer Science

Jun 2020Apr 2022

Stackforce found 100+ more professionals with Data Analytics & Python

Explore similar profiles based on matching skills and experience