Data Analyst

Rate, USD
$40 / hour
Work schedule
Full Time, Part Time,
Language skills
English, Hindi, Marathi
Available for Hire
Yes
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About me

I am an analytical and results-driven researcher with a strong foundation in data science, capital markets, and financial modeling. I hold a Master’s degree in Management and am certified in Data Analytics and Machine Learning. My hands-on experience includes working with large datasets, validating financial models, and communicating actionable insights effectively. I am adept at Python programming and have a passion for uncovering signals in complex financial data. I am looking to contribute to a high-impact research team that drives insights for clients in the finance space.




Education

2025 MSc in Management @ Queen Mary University of London

Focus in Strategic Management, Financial Analysis, and Data-Driven Decision-Making. Academic projects involved live business cases and applied analytics.

2023 BTech in Electronics & Telecommunication @ K J Somaiya Institute of Technology, Mumbai

Graduated with Distinction. Final project on intelligent automation using machine learning.


Experience

2024 – Present Data Science & Finance Projects @ Freelance/Academic

Built a multi-agent AI platform to analyze financial instruments including stocks, crypto, and commodities, focusing on real-time model outputs and trade signals. Developed and validated custom Python-based forecasting models using historical price data and economic indicators. Automated financial news summarization and extraction pipelines using NLP for investor insights. Created predictive models for donation campaigns and churn forecasting during Cerebra UK marketing hackathon.

May 2025 Marketing Data Analyst @ Cerebra UK Hackathon (Academy of Marketing)

Analyzed donor behavior using clustering (K-Means) and logistic regression, leading to improved segmentation and marketing outcomes. Produced automated dashboards and insights presentations with actionable business recommendations. Engaged with multi-functional teammates, aligning insights with marketing strategies.


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