About Me
Data Analyst - Data Cleansing & Manipulation, Data Visualization, Statistical Analysis
- SQL
(90%)
- Python
(85%)
- Power BI
(90%)
- DAX
(85%)
- Tableau
(80%)
- Predictive Analysis
(85%)
- Machine Learning
(80%)
I am a Data Analyst skilled in data manipulation, visualization, statistical analysis, and machine learning. I specialize in using tools like SQL, Python, Power BI, and Tableau to drive actionable insights.
1
+
Years of Experience
3
k
Hours of Working
4
Projects Done
Services
What I Do
I analyze data, create visualizations, build automated pipelines, and apply machine learning to drive insights.
-
01
Data Cleansing and Manipulation
Clean and transform large datasets using SQL, Python, and R for analysis and actionable insights.
-
02
Data Visualization
Create dynamic dashboards and reports with Power BI, Tableau, and Looker to communicate insights.
-
03
Statistical Analysis
Conduct trend analysis, predictive modeling, and statistical tests to drive data-driven decision-making.
-
04
Automated Data Pipelines
Build automated ETL pipelines to streamline data processing, improving efficiency and reducing errors.
-
05
Collaboration and Stakeholder Engagement
Work with teams and stakeholders, offering data-driven recommendations for enhanced business strategies.
-
06
Machine Learning Algorithms
Apply machine learning techniques like regression, decision trees, and neural networks to predict outcomes
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07
Hypothesis Testing and A/B Testing
Conduct A/B testing and hypothesis validation to optimize strategies, ensuring improved performance and results.
Resume
Education & Experience
Designed and optimized production systems, implemented automation, improved quality, and streamlined workflows across multiple industries.
M.S. in Business Analytics
@ University of MassachusettsBachelor of Commerce (Accounting & Finance)
@ Osmania UniversityData Analyst Intern
@ WisualystFinancial Planning Analyst
@ ABMC Matrix Project ManagementGet In Touch
Let's Connect
Reach out via email or phone for collaboration opportunities, technical inquiries, or project discussions.