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Data Science with less than a year in Data Analytics & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B. Tech graduate in Data Analytics from DIT University with hands-on experience building data-driven systems and applying machine learning techniques. Proficient in Python, SQL, and data visualization, with a demonstrated ability to translate complex datasets into actionable insights. Eager to contribute to a forward-thinking technology team in Data Analytics, Software Development, or IT Consulting.
DIT University
B.Tech · Data Analytics
August 1, 2022 – June 30, 2026
St. Joseph's Academy
Senior Secondary (Science) · Science
N/A – May 31, 2022
Real-Time Smart Traffic Analytics System
January 1, 2026 – Present
Designed an adaptive traffic management system targeting the Dehradun ISBT corridor, using real-time traffic density analysis to dynamically adjust signal timers and reduce congestion compared to fixed-timer systems. Built Python-based data pipelines using Pandas, NumPy, and Scikit-learn to process sensor data streams, detect traffic anomalies with ML models, and automate signal adjustment logic. Developed a Streamlit dashboard to visualize live traffic patterns and anomaly alerts, alongside a full technical requirements document and a two-month implementation roadmap.
Mini Compiler for Arithmetic Expressions
January 1, 2023 – December 31, 2023
Built a functional mini compiler in C that performs lexical analysis and syntax parsing on arithmetic expressions, correctly tokenizing input and validating expression grammar. Implemented a parsing engine that generates Three Address Code (TAC) for arithmetic operations, demonstrating working knowledge of compiler construction principles and data structures. Applied core concepts from formal language theory including context-free grammars and parse trees to handle operator precedence and associativity rules.
Google Data Analytics - Foundations: Data, Data, Everywhere
Unknown
June 1, 2026 – Present
Data Analysis using Microsoft Excel
Unknown
June 1, 2026 – Present
Introduction to Relational Databases (DBMS)
Unknown
June 1, 2026 – Present
Introduction to Java
Unknown
June 1, 2026 – Present
Python for Data Science, AI & Development (IBM)
IBM
June 1, 2026 – Present
Entrepreneurship: Launching an Innovative Business Specialization
Unknown
June 1, 2026 – Present
Introduction to Data Science in Python
Unknown
June 1, 2026 – Present
SQL for Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data-driven solutions and foundational computer science. The 'Real-Time Smart Traffic Analytics System' project shows an application of data science to a real-world problem, aligning well with a practical, impact-driven culture. The 'Mini Compiler' project indicates a breadth of technical curiosity beyond immediate data science applications. The certifications further reinforce a commitment to continuous learning and skill development across various data-related domains. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-learning initiatives.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex datasets into actionable insights and a proactive approach to problem-solving. The 'Real-Time Smart Traffic Analytics System' project highlights initiative and a structured approach to project implementation, including technical requirements and a roadmap. The 'Mini Compiler' project demonstrates analytical thinking and attention to detail. However, without direct work experience or psychometric test results, it is difficult to fully assess stress handling, team collaboration, and overall work attitude.