Sukarna
Kolkata, Presidency Division, West Bengal, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: MSSQL, MySQL, NumPy, Oracle, pandas, PostgreSQL, Power BI, Python, R, Tableau
Previously worked at: Fortune 500
Assessment Score: 75
- Experienced PL/SQL and Data Science Professional: Proven expertise in PL/SQL development and Oracle Apex, with over three years of experience in application design, coding, and business application development across industries, including automotive. Skilled in database querying, debugging, and migration projects to enhance system efficiency.
- Technical Proficiency in Data Analytics and Machine Learning: Strong foundation in Python, SQL, data preprocessing, statistical analysis, and visualization tools like Tableau and Power BI. Adept at using machine learning techniques for anomaly detection, performance prediction, and chatbot development.
- Educational Background in Engineering and Data Science: Holds a B.Tech degree with a GPA of 7.99 from KIIT and a Postgraduate Program in Data Science from Praxis Tech School, equipping a strong theoretical and applied understanding of computational and analytical methodologies.
- Notable Projects with Real-World Applications: Delivered impactful projects including anomaly detection in ICU data, development of a student performance prediction model, and a library management system, leveraging Python, Oracle SQL, and machine learning algorithms to drive data-driven solutions.
- Professional Impact through Project Delivery: Contributed to critical system migrations and application development at Maruti Suzuki and Accenture, including improving Oracle Apex systems by 20% and delivering optimized PL/SQL procedures aligned with customer requirements.
- Comprehensive Skill Set for Data-Driven Solutions: Expertise in tools and frameworks such as Oracle Apex, Python (Pandas, NumPy, Scikit-learn), statistical analysis, and visualization techniques, combined with multilingual fluency to communicate effectively in diverse environments.