Siddharth Vora-| linkedin.com/in/Siddharth | github.com/Siddh | Kaggle.com/Siddh
Education
VNSGU University
Bachelor’s of Computer Application
Guj, IN
Sep. 2021 – Mar 2024
WorldQuant University
Master of Science in Financial Engineering
Expected July 2027
Experience
Genisys Innovations Pvt. Ltd.
Gujarat, India
Python Intern
Mar. 2024 – Aug. 2024
• Developed robust Python scripts for data cleaning and preprocessing, ensuring high data quality and consistency
for downstream analysis and machine learning.
• Project: Fraud Detection System — Built and deployed a scalable fraud detection model in Scikit-learn, achieving
92% accuracy; responsible for model training, evaluation, and implementing data pipelines for financial risk
assessments.
• Project: Job Listing Data Platform — Designed a Python-based web scraper with BeautifulSoup, extracting
thousands of listings and storing them in a MySQL database to enable cross-departmental analytics and reporting.
Genisys Innovations Pvt. Ltd.
Gujarat, India
Python Developer
Sep. 2024 – jun. 2025
• Project: Automated Data Extraction Suite — Built modular web scrapers and ETL solutions to ingest and
normalize data from diverse financial sources, enabling real-time analytics for business intelligence teams.
• Designed and implemented a real-time data ingestion and processing pipeline using Python, Pandas, and the
yFinance API to collect, clean, and analyze stock market data from multiple sources.
CodSoft
Remote
Data Science Intern
Jun. 2025 – Jul. 2025
• Developed and optimized machine learning models (Logistic Regression, Decision Trees, Random Forest) using
Scikit-learn, achieving high predictive accuracy for Amazon review ratings prediction (62% accuracy, 85%
near-score).
• Led the Amazon Review Sentiment Analysis project, achieving 93% accuracy in binary sentiment classification by
applying advanced NLP techniques, improving sentiment insights for product teams.
Extra-Curricular Activities
Flutter 101 – Introduced to cross-platform app development using Flutter and Dart. Built basic UI
components, learned state management, and understood core mobile development principles.
MNC Employability Enhancement Skills – Gained practical knowledge and soft skills essential for success
in MNCs, including professional communication, teamwork, interview readiness, and corporate etiquette.
Campus to Corporate Training Course – Developed essential workplace skills such as time management,
business communication, teamwork, and professional behavior to ease the transition from college to corporate
life.
Libraries Used – Hands-on experience with pandas, NumPy, and Matplotlib in data science projects.
Achievements
Kaggle Research Expert (3x) – Earned the Research Expert badge by contributing high-quality notebooks
and gaining recognition from the Kaggle community through upvotes and engagement.
Kaggle Profile – Active contributor on Kaggle with public notebooks, datasets, and competition
participation. kaggle.com/siddharth
