Shailesh
Mumbai, Maharashtra, India
Experience: 0 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Jupyter Notebooks, MongoDB, MySQL, pandas, PostgreSQL, Power BI, Problem Solving, PySpark, Python, R, scikit-learn, Tableau, TensorFlow
Previously worked at: Startups
Assessment Score: 50
- Educational Background: Holds a Bachelor’s in Computer Science from SIES College and a Master’s in Computer Science with a specialization in Data Science from the University of Mumbai, showcasing a strong academic foundation in technology and analytics.
- Technical Proficiency: Skilled in Python (with libraries such as pandas, matplotlib, and TensorFlow), SQL (MySQL and PostgreSQL), R Programming (dplyr and ggplot2), Power BI (DAX, Power Query), and Excel (pivot tables, VLOOKUP). Extensive experience in data analysis, visualization, and machine learning frameworks.
- Internship Experience: Gained practical exposure through data analysis and data science internships at Afame Technologies, Bharat Intern, and Coding Raja Technologies. Expertise includes building dashboards in Power BI, implementing machine learning models, and conducting predictive analytics to support business decisions and enhance user engagement.
- Project Portfolio: Developed innovative projects such as a cryptocurrency market analyzer, CNN-based image classification, and LinkedIn sentiment analysis. These projects highlight hands-on experience in real-time data collection, machine learning, and NLP techniques, contributing to actionable insights and predictive modeling.
- Research and Publications: Co-authored a research paper, “The Budget-Box Office Equation,” analyzing factors impacting movie revenue. Applied advanced machine learning techniques like Random Forest and regression models to forecast box office success, published in a peer-reviewed book.
- Analytical and Visualization Expertise: Demonstrated ability to integrate technical knowledge with analytical tools by designing impactful dashboards, optimizing machine learning models, and creating data-driven visualizations, effectively contributing to strategic decision-making in varied domains.