Available to hire
Hi, I’m Janhavi Sharma, a data scientist and analytics professional based in New Brunswick, NJ. I enjoy turning complex data into clear, actionable insights and building scalable data solutions that support education and finance.
I’m passionate about combining machine learning, data visualization, and software engineering to solve real-world problems. I thrive in collaborative environments and continuously seek new challenges and tools to keep learning and growing.
Skills
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Language
English
Fluent
Work Experience
Data Scientist Intern at Rutgers University, SAS IT & Data Analytics Office
August 1, 2025 - August 1, 2025Developed a centralized housing database across 4 campuses using AWS S3 and SQL, consolidating fragmented student housing records. Built and automated SQL ETL pipelines for ingestion, cleaning, and validation, ensuring reliable and error-free data delivery. Applied clustering (DBSCAN, K-Means) and Random Forests to detect trends in housing preferences, gender and major selections. Created dashboards in Tableau to visualize trends for strategic planning and resource optimization.
Software Developer at ION Trading
March 1, 2024 - March 1, 2024Developed trade gateway pipelines in C++ to process real-time market data. Migrated historical and streaming trade data to AWS (S3, Lambda) using Python, achieving a 40% reduction in latency. Acquired expertise in financial instruments, including spreads, equities, bonds, commodities, and risk management strategies. Leveraged Python and SQL to manage databases and extract actionable insights from market and client trade data. Built a Python-based anomaly detection tool to identify and analyze trends in client trade logs; acted as primary point of contact for high-priority client issues, resolving market data inconsistencies and pipeline failures.
Data Analyst Intern at Medly
September 1, 2022 - September 1, 2022Delivered a 25% improvement in product solutions by analyzing CRM and user data with Python and SQL. Designed Tableau and Power BI dashboards to track sales pipelines and user engagement metrics. Developed lead scoring and customer segmentation models using Probabilistic GRUs (to model user behaviour sequences), regularized Multi-Layer Perceptrons (MLPs), and Variational Autoencoders (VAE), to improve targeting and customer retention. Conducted A/B testing and statistical analysis with SciPy and statsmodels, optimizing new feature rollouts.
Education
Master of Science in Data Science at Rutgers University
January 11, 2030 - May 1, 2026Bachelor of Engineering in Computer Engineering at Thapar Institute of Engineering and Technology
January 11, 2030 - June 1, 2023Qualifications
Top 5,000 Global Rank - HackerRank
January 11, 2030 - November 4, 2025Bloomberg Financial Fundamentals & Market Concepts
January 11, 2030 - November 4, 2025NVIDIA Accelerated DL
January 11, 2030 - November 4, 2025Industry Experience
Education, Computers & Electronics, Financial Services, Software & Internet, Professional Services
Skills
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