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Data Analyst with less than a year in AI/ML and Data Analysis.
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Final-year Computer Science student with a detail-oriented and analytical approach to Data Science, and strong foundation in machine learning, Data Analysis, Prediction Modelling. Experienced in building data driven applications, real-time systems using python. Skilled in extracting information from complex datasets and applying statistical and machine learning techniques to solve real world problems.
Bennett University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Model Senior Secondary School
Class X
N/A – May 31, 2019
Govt.Excellence School
Class XII
N/A – May 31, 2021
College Dilao Pvt Ltd
Data Analyst Intern
August 1, 2025 – February 1, 2026
India
AI Chatbot Web Application
December 1, 2025 – May 1, 2026
Developed and deployed an AI chatbot using Python, Streamlit, and OpenAI API for real-time conversational interaction. Designed a responsive and user-friendly UI using Streamlit chat components, improving usability by ~30% compared to traditional CLI-based systems. Implemented streaming responses with <2 sec latency and added fallback handling for reliability. Deployed the application on cloud, making it accessible as a live web app.
View ProjectAnomaly Detection in FinTech
March 1, 2025 – May 1, 2026
Developed an anomaly detection system using SVM (Linear & RBF) and LSTM models on financial time-series data to identify abnormal transactions. Performed feature engineering (returns, SP500/Gold ratio) and statistical analysis (ADF, ACF/PACF), improving model performance by ~20-25%. Optimized SVM using class weighting and cross-validation, where RBF kernel outperformed Linear kernel in detection accuracy and recall. Implemented LSTM with sliding window approach to capture temporal patterns, improving sequential anomaly detection capability.
View ProjectSaralSiksha-Management System for Government schools
March 1, 2025 – May 1, 2026
Contributed to the development of a web-based system integrating 3 core modules (attendance, meal tracking, scholarship management), reducing manual administrative effort by ~60%. Implemented core functionalities for student attendance web application, enhanced user interface responsiveness by 25% and improved system response time. Built a centralized student data management system handling multiple user roles (admin, teacher, student), enabling faster data access and reducing data redundancy.
View ProjectThe Bits and Bytes of Computer Networking
May 1, 2026 – Present
Exploratory Data Analysis for Machine Learning
IBM
May 1, 2026 – Present
Python for Data Science, AI & Development
IBM
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong drive for continuous learning and practical application, as evidenced by multiple certifications and diverse personal projects spanning web development, AI chatbots, and advanced ML for FinTech. This indicates a proactive and adaptable mindset. The ability to work on projects with clear objectives and measurable outcomes suggests a results-oriented approach. The breadth of skills and technologies explored demonstrates intellectual curiosity and a willingness to tackle different challenges, which is valuable in a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, attention to detail in data processing, and a proactive approach to learning and project implementation. Their focus on quantifiable impact in projects (e.g., reducing administrative effort, improving model performance) suggests a results-oriented mindset. This indicates a good operational fit for a data-driven team, though their experience level suggests a need for mentorship in a senior role.