•	Experienced and results-driven Data Analyst with a track record of over 3 years, utilizing data-driven insights to solve complex business problems.  
•	Recognized for achieving a 20% increase in productivity by optimizing data processing workflows.
•	Proficient in using a range of IDEs including Visual Studio Code and PyCharm. 
•	Expertise in data manipulation, statistical analysis, and data visualization techniques. 
•	Proficient in analyzing complex datasets, generating actionable insights, and driving data-based decision-making.
•	Adept at utilizing Python, R, and SQL for in-depth data analysis and visualization.
•	Skilled in employing methodologies like SDLC, Agile, and Waterfall. 
•	Adept at utilizing various packages including NumPy, Pandas, Matplotlib, and more for advanced data analytics.
•	Proven track record of effectively collaborating with cross-functional teams.
•	Extensive experience in designing impactful visualizations using Tableau, Power BI, and Microsoft Excel. 
•	Well-versed in working with databases like MySQL and SQL Server. 
•	Strong problem-solving abilities combined with excellent communication, critical thinking, and presentation skills. 
•	Experienced in utilizing software tools like Git and GitHub for version control and collaborative development.
•	Comfortable operating in both Windows and Linux environments.

University of North Texas

·      **PROJECTS:**
Patient Readmission Analysis and Intervention Planning:
·      **Description:** Analysed patient demographic data, medical history, and readmission patterns to identify factors contributing to readmissions.

·      Skilled in extracting meaningful insights from complex data sets through exploratory data analysis, statistical analysis, data modelling, and visualization techniques. Capable of identifying patterns, trends, and anomalies to drive informed business decisions using Excel.
·      Led efforts that resulted in a remarkable 15% increase in productivity for completing requests on assigned tickets, streamlining data-related workflows.
·      Leveraged SQL queries to retrieve, manipulate, and transform complex datasets, contributing to efficient data analysis and reporting.
·      Extensive experience in Python programming for data analysis and manipulation. Proficient in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Plotly to efficiently handle and analyse large datasets.
·      Proficient in designing and implementing logical and physical data models to ensure efficient data storage and retrieval. Skilled in entity-relationship diagrams and normalization techniques.
·      Collaborated with cross-functional teams to define project requirements and scope for patient readmission analysis, ensuring alignment with organizational goals.
·      Conducted in-depth data exploration and statistical analysis to identify key drivers of patient readmissions, leading to targeted intervention strategies and a reduction in readmission rates.
·      Demonstrated proficiency in data cleaning and preprocessing techniques, ensuring the integrity and quality of healthcare datasets used in the analysis.
·      **Tools**: Python, SQL, Excel, Pandas, Numpy, Matplotlib, Seaborn, Plotly, Power BI

Data Analyst

·      **PROJECTS:**
Predictive Modelling for Insurance Premium Pricing:
·      **Description**: Leveraged historical policy data, customer demographics, and claim history to develop pricing models using machine learning algorithms. Utilized SAS for data cleaning, variable transformation, and statistical analysis to derive meaningful insights.
·      **Tools Used**: SAS, SQL, Excel, Tableau

**Portfolio Analysis and Investment Strategy Optimization**:
·      **Description**: Focused on portfolio analysis and optimizing investment strategies for a financial services firm. Analyzed investment portfolios, and assessed assets.
·      **Tools Used**: Excel, SQL, Power BI, Tableau, ETL
·      **Skills Utilized**: Exploratory data analysis, statistical analysis, data mining, and creating actionable insights and patterns using Tableau.

·      Proficient in a Range of IDEs including Visual Studio Code and PyCharm, facilitating effective coding and data analysis processes
·      Optimized ETL workflows and query performance by fine-tuning database indexes, optimizing data loading strategies, and leveraging parallel processing techniques, resulting in a noticeable reduction in data processing time.
·      Expertise in Data Cleaning, Validation, and Wrangling to ensure accurate and reliable datasets for analysis.
·      Methodology Proficiency: Well-versed in methodologies like SDLC, Agile, and Waterfall, ensuring successful project execution.
·      Extensive Experience in Designing Impactful Visualizations using Tableau, Power BI, and Microsoft Excel to effectively communicate complex information.
·      Proficient in Working with Databases like MySQL and SQL Server, ensuring efficient data storage, retrieval, and analysis.
·      Strong Problem-Solving Abilities combined with excellent communication, critical thinking, and presentation skills for effective collaboration and decision-making.

Sankeerth Poojala

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