- Used EDA and ML techniques to solve business problems.
- Created dashboards using BI tools.
- Analyzed, processed, and modelled data then interpreted the results to create actionable plans for companies.
- Tools: R programming, Python, ML, NLP, DL, and AI.
Sebi Joseph
About
Sebi Joseph is a data scientist with over 16 years of data analytics experience, capable of developing advanced insight into any business aspect. He excels in areas of data visualization, business intelligence, analytical CRM, market research, report generation, conceptual thinking, risk planning, and customer view analytics, and is proficient in R programming, Python, ML, NLP, DL, and AI. Sebi worked for Tata Consultancy Services and Jacobsons Direct.
Employment
- Identified trends and opportunities for growth through analysis of complex data sets.
- Created best-practice reports based on data mining, analysis, and visualization.
- Used ML and NLP techniques to solve business problems.
- Used data science methodologies and technologies to analyze data and solve business problems for international clients.
- Utilized data visualization tools to describe data patterns.
- Wrote code in Python, R, or similar as needed.
- Identified valuable problems to solve, gathered data from various sources, and cleansed and prepared data for analysis.
- Created an interactive dashboard/visualization using Tableau, Power BI, or Excel.
- Performed statistical analyses, and communicate the findings effectively.
- Worked closely with various teams across the company to identify and solve business challenges utilizing structured and unstructured data.
- Analyzed customer data based on rules and methods set by business and prepared reports to improve customer relationships and interaction.
- Monitored and reviewed KPIs such as customer satisfaction and retention.
- Developed dashboards using BI tools.
- Participated in several statistical projects that involve applying the theory of statistics such as population update, sampling, creating weights, and feature engineering in the retail measurement services for the UK CPG market.
- Developed advanced insight into any business aspects.
- Worked with a specific international project called NPS among the online users.
- Performed statistical analysis such as EDA, segmentation, and linear regression.
- Designed survey research studies including questionnaire development, sample selection, and checking survey results.
- Conducted SPSS programming, and statistical analyses.
