Harshali
Mumbai, Maharashtra, India
Experience: 6 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: AWS, Azure, Databricks, Jira, Jupyter Notebooks, MySQL, NumPy, Oracle, pandas, Python, scikit-learn
Previously worked at: IT Service Companies, Startups, US-based Companies
Assessment Score: 50
- Educational and Research Excellence
Holds a Master of Engineering and Bachelor of Engineering in Computer Science from Savitribai Phule Pune University. Published multiple research papers on advanced data analysis and feature selection in reputed journals and conferences, showcasing expertise in mining high-dimensional data and clustering approaches. - Extensive Experience in Data Science
Over 4 years of professional experience in data science, with roles spanning model development, data analysis, and operational optimization. Experience includes contributions to HDFC Bank, C.H. Robinson, Marktine Technology Solutions, Maxim Information Technology, and NewAge Products, where impactful models and frameworks were developed to address business challenges. - Proficiency in Advanced Technologies and Tools
Skilled in Python, SQL, machine learning frameworks (Scikit-learn, XGBoost, LightGBM), cloud platforms (AWS, Azure), and data visualization libraries (Matplotlib, Seaborn). Demonstrated ability to design predictive and classification models with high accuracy, automate workflows, and build dashboards to enable data-driven decision-making. - Notable Project Contributions
Successfully developed frameworks and models, such as a risk prediction model for shipment delays, pricing models for automotive sales forecasting, and an EMI bounce rate reduction framework for banking. Achieved measurable results, including a 15% sales increase for automotive dealers and a 2% improvement in bounce rate reduction. - Achievements in Machine Learning and Model Optimization
Created and fine-tuned machine learning models, employing techniques like feature engineering, hyperparameter tuning, and CI/CD pipeline implementation. Delivered models with accuracy exceeding 80%, optimizing business operations and enhancing customer engagement. - Leadership and Collaborative Impact
Led and collaborated with cross-functional teams, including data engineers and business stakeholders, to implement innovative data solutions. Expertise in using Agile and Scrum methodologies to manage projects efficiently and deliver actionable insights through interactive dashboards and comprehensive reporting systems.