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Data Science with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
A Data Driven B.Sc. Data Science student passionate about leveraging analytical skills and machine learning expertise to solve complex real-world problems. Seeking an data scientist position to apply academic knowledge and contribute to data-driven decision- making, while continuously expanding proficiency in data analysis and modeling techniques.
Vidyalankar School of Information Technology
BSc Data Science · Data Science
August 1, 2023 – June 30, 2026
St. Xavier's College, Mumbai
HSC
June 1, 2021 – May 31, 2023
S.S.M.M.C.M Girls High School
SSC
June 1, 2021 – May 31, 2021
IBM SkillsBuild
AI Strategy & Business Intelligence Intern
March 1, 2026 – April 1, 2026
India
Yuva Unstoppable Organization
Data Intern
July 1, 2023 – September 1, 2023
Mumbai, Maharashtra, India
AI-Enabled Satellite-Based Air Pollution Monitoring and Forecasting System
June 1, 2026 – June 1, 2026
Developed an AI-based system that analyses satellite imagery and environmental data to monitor air pollution levels and predict future pollution trends. Implemented machine learning models to detect pollution patterns and generate forecasts for improved environmental decision-making.
Visual to Audio System
June 1, 2026 – June 1, 2026
Designed an AI-based system that converts images into musical audio signals, transforming visual patterns into sound using signal processing techniques. The project explores creative applications of AI in multimedia and sensory data interpretation.
Volt Ride Dashboard (Power BI)
June 1, 2026 – June 1, 2026
Created an interactive Power BI dashboard to analyse operational data for Volt Ride, an EV ride-hailing service. The dashboard visualizes key metrics such as ride demand, cancellation rates, driver availability, and operational efficiency across multiple cities.
Drift Guard: Financial Behaviour Drift Monitoring & Early Risk Prediction Platform
June 1, 2026 – June 1, 2026
Built an AI-powered platform to detect behavioural drift in financial transactions and identify early signs of financial risk. The system uses machine learning and explainable AI to monitor transaction patterns and alert stakeholders about unusual financial behaviour.
Real-Time AI-Driven Portfolio Optimization with Reinforcement Learning
June 1, 2026 – June 1, 2026
Developed a financial analytics system that applies reinforcement learning algorithms to optimize investment portfolios in real time. The model dynamically adjusts asset allocations based on market conditions to maximize returns while managing risk.
19th Aavishkar Research Convention (Zonal Round) – Participant
Unknown
June 1, 2026 – Present
National Conference on Artificial Intelligence (AI) — Participant & Research Presenter
Unknown
June 1, 2026 – Present
Public Speaking Mastery Course by Dale Carnegie – Completed
Dale Carnegie
June 1, 2026 – Present
National Case Study Competition (Insurance Claim Courtroom) – Participant
Unknown
June 1, 2026 – Present
V-Search 2026 National Research Paper Conference – Participant & Published
Unknown
January 1, 2026 – Present
QuantFusion-2026 (Poster Presentation) Participant
Unknown
January 1, 2026 – Present
Datathon Intercollegiate Competition 2025 – Winner
Unknown
January 1, 2025 – Present
CodeWarts – The Wizarding Codeathon 2025 (Season 3) – 2nd Prize
Unknown
January 1, 2025 – Present
20th Aavishkar: Departmental & Zonal Research Convention (2025–26) — Participant
Unknown
January 1, 2025 – Present
V-Search 2025 National Research Paper Conference – Participant & Published
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's extensive involvement in academic projects, competitions, and research presentations suggests a strong drive for learning and innovation, which aligns well with a culture that values continuous improvement and problem-solving. The diversity of projects, from environmental monitoring to financial analytics and multimedia, indicates a broad interest in applying data science across different domains. However, the lack of significant team-based professional experience makes it difficult to fully assess collaboration and adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through participation in numerous competitions and conferences. The 'Public Speaking Mastery Course' suggests an effort to improve communication skills. The academic projects indicate an ability to work on complex problems and a drive for continuous learning. However, the limited professional experience means operational fit in a corporate data analyst role is largely unproven.