Usama
Mumbai, Maharashtra, India
Experience: 1 years
Open to: Fractional, Full-Time, Part-Time
Education: Masters
Availability: Immediate
Skills: AWS, Jupyter Notebooks, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Power BI, PySpark, Python3, PyTorch, scikit-learn, Tableau, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 53
- Experience and Expertise: Data Scientist with a solid foundation in data analysis, machine learning, and Python development. Over 3 years of hands-on experience in data scraping, predictive modeling, and automation, skilled in working with large datasets to extract actionable insights and improve business outcomes.
- Professional Background: Currently pursuing MSc in Data Science while gaining practical experience through roles at Crimson Interactive Pvt Ltd (data scraping intern) and Capgemini Technology Services India Pvt Ltd (Analyst/Software Engineer), contributing to the development of Python-based applications and efficient data processing systems.
- Technical Skills: Proficient in Python, Django, Flask, Deep Learning, NLP, TensorFlow, Keras, and SQL. Experience with data processing libraries (Pandas, Numpy) and tools such as Selenium, Docker, AWS, MongoDB, and Power BI. Skilled in creating and deploying machine learning models, API integration, and ETL processes.
- Project Experience: Led the development of a Candlestick Chart Pattern Recognition system using Convolutional Neural Networks (CNN) for multi-class classification, achieving 90% accuracy. Also worked on a music recommendation system that leverages NLP and content-based filtering to recommend songs based on user history with 85% accuracy.
- Academic Background: Currently completing MSc in Data Science with a 9.88 CGPA from Kirit M Doongursee College, Mumbai. Completed a Bachelor of Engineering in Mechanical Engineering with a CGPA of 6.98, providing a strong analytical and problem-solving background.
- Certifications and Achievements: Demonstrated technical expertise through a series of academic and personal projects. Actively contributing to GitHub, with experience in deploying machine learning models and web applications. Enthusiastically learning emerging technologies and applying them to real-world data problems.