Data-Driven Researcher with a Passion for Unlocking Insights
I am a doctoral researcher with a strong foundation in computer science, business administration, management information systems, and cloud computing. I am driven by the power of data to solve complex business problems and support data-driven decision-making.
Technical Expertise:
- Programming Languages: Python, R, SQL, and C (proficient)
- Data Analysis Tools: Tableau, Power BI, SPSS, and DATATAB (experienced)
- Cloud Computing Platforms: SAP SuccessFactors, Oracle Cloud HCM, and Workday (familiar)
- Machine Learning Algorithms: Proficient in applying various algorithms for predictive modeling
- Professional Specialization Certificate: Google Data Analytics
Experience:
- Research Scholar, NIFTEM (2020-Present):
- Conducted meticulous data collection and cleaning from diverse sources, ensuring data integrity and quality.
- Leveraged Python, R, and statistical techniques to extract valuable insights and trends from complex datasets.
- Created compelling visualizations using Tableau to communicate findings effectively to stakeholders, facilitating informed decision-making.
- Possess a proven ability to translate raw data into actionable insights that drive strategic business outcomes.
Key Strengths:
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to work independently and as part of a team
- Passion for learning and staying up-to-date with the latest technologies
