Siddharth Vora
@siddharthvora
Data scientist and Python developer specializing in ML-driven financial data pipelines and fraud detection.
What I'm looking for
I am a data scientist and Python developer with hands-on experience building scalable data pipelines, web scrapers, and machine-learning solutions for financial and product analytics. I developed and deployed a fraud detection model with 92% accuracy and built ETL and real-time ingestion systems using Python, Pandas, and yFinance.
I have executed end-to-end ML projects—ranging from sentiment analysis (93% binary accuracy) to Amazon review rating prediction—using Scikit-learn and NLP techniques, and I contribute actively to the Kaggle community as a 3x Research Expert. I am completing a BCA and pursuing an MS in Financial Engineering to deepen my quantitative and financial modeling skills.
I bring a pragmatic, results-oriented approach to data quality, model performance, and production-ready pipelines, and I enjoy translating complex datasets into actionable business insights that improve risk assessment and product decisions.
Experience
Work history, roles, and key accomplishments
Data Science Intern
CodSoft
Jun 2025 - Jul 2025 (1 month)
Developed and optimized ML models (Logistic Regression, Decision Trees, Random Forest) for review rating prediction and led sentiment analysis achieving 93% accuracy in binary classification.
Python Developer
Genisys Innovations Pvt. Ltd.
Sep 2024 - Jun 2025 (9 months)
Built modular web scrapers and ETL solutions and designed real-time data ingestion pipelines using Python and Pandas to enable real-time analytics for financial intelligence.
Python Intern
Genisys Innovations Pvt. Ltd.
Mar 2024 - Aug 2024 (5 months)
Developed data cleaning and preprocessing pipelines and built a Scikit-learn fraud detection model achieving 92% accuracy; implemented web scraping into MySQL to enable cross-departmental analytics.
Education
Degrees, certifications, and relevant coursework
WorldQuant University
Master of Science, Financial Engineering
Activities and societies: Kaggle participation and research notebooks; applied ML projects and quantitative finance exercises.
Pursuing a Master of Science in Financial Engineering with coursework and projects in quantitative finance and applied machine learning; expected completion July 2027.
Veer Narmad South Gujarat University
Bachelor of Computer Application, Computer Applications
2021 - 2024
Activities and societies: Flutter 101; MNC Employability Enhancement Skills; Campus to Corporate Training Course; hands-on use of pandas, NumPy, and Matplotlib.
Completed a Bachelor of Computer Application program focusing on foundational computing, software development, and data-related coursework from Sep 2021 to Mar 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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