Data Science with less than a year in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Motivated and detail-oriented Information Technology undergraduate with a strong foundation in data analytics, data visualization, and programming. Skilled in Python, SQL, HTML, CSS, and data science concepts, with hands-on experience in machine learning projects and job simulations from Deloitte and JPMorgan. Eager to contribute to data-driven decision-making while continuously growing technical expertise.
SIES Graduate School of Technology
B.E. · Information Technology
August 1, 2022 – June 30, 2026
SS High School & Jr College
12th MSBSHSE
June 1, 2022 – May 31, 2022
St Xavier's High School & Jr College
10th MSBSHSE
June 1, 2020 – May 31, 2020
Proxenix
Data Science and Analytics Intern
June 1, 2025 – July 1, 2025
India
Music Recommendation System
June 1, 2026 – June 1, 2026
Built a machine learning-based recommendation engine using collaborative and content-based filtering to suggest personalized music tracks. Performed data preprocessing, feature engineering, similarity analysis, and model evaluation using Pandas, NumPy, and Scikit-learn. Conducted exploratory data analysis (EDA) to uncover patterns and improve recommendation accuracy.
AI-Driven Carbon Emission Prediction Framework
June 1, 2026 – June 1, 2026
Developed an AI-driven framework for predicting carbon emissions and optimizing sustainable construction planning. Applied multi-objective optimization algorithms to evaluate environmental impact and support data-driven decision-making. Improved resource allocation and reduced carbon footprint through predictive modeling and optimization strategies.
Online Customization Store
February 1, 2024 – April 1, 2024
Built a full-stack online customization store with a team of 3 developers. Developed the login page using React and handled database connectivity via Django. Analyzed and managed data flow using Node.js.
View ProjectSoftware Engineering Job Simulation
JPMorgan Chase
June 1, 2026 – Present
Data Visualization with Power BI
Great Learning Academy
June 1, 2026 – Present
Cyber Job Simulation
Deloitte
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Introduction to Generative AI Studio
Simplilearn
June 1, 2026 – Present
Data Analysis using Excel
Great Learning Academy
June 1, 2026 – Present
Python for Data Analysis
Great Learning Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in applying data science to various domains, from music recommendations to carbon emission prediction and e-commerce. This breadth of application, combined with participation in job simulations from Deloitte and JPMorgan, suggests an eagerness to learn and contribute across different industry contexts. The volunteer experience (NSS) indicates a commitment to community, which can be a positive cultural indicator. The target role of Data Science aligns well with the candidate's stated skills and project focus.
Soft Skills & Operational Fit
The candidate's professional summary highlights motivation and detail-orientation. Project descriptions indicate an ability to work in teams (Online Customization Store) and apply structured problem-solving. The internship experience suggests an ability to adapt to real-world datasets and workflows. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.