Data Analyst Machine Learning

DATA ANALYST

Location – OHIO, USA E-Mail **************@*****.*** Ph. - 551-***-**** LinkedIn

PROFESSIONAL SUMMARY:

Analytical Data Analyst with 4+ extensive experience in driving data-driven decision-making through advanced analytics,

machine learning and data visualization.

Proficient in leveraging a diverse set of technical skills including Python and SQL to conduct comprehensive data analysis, data mining and predictive modeling.

Adept at utilizing visualization tools like Power BI, Tableau and advanced Excel to create impactful dashboards and reports.

Skilled in managing large datasets using databases such as MySQL, PostgreSQL, MongoDB and Oracle and deploying scalable solutions on cloud platforms like AWS and Azure.

Demonstrates strong expertise in ETL processes, data cleaning, data transformation and data storytelling, ensuring accurate and actionable insights. Skilled in machine learning algorithms, ANOVA and hypothesis testing.

Committed to maintaining high standards of data security and compliance, particularly in healthcare environments with a proven track record of improving operational efficiency and data accessibility.

TECHNICAL SKILLS:

Methodologies:

SDLC, Agile, Waterfall.

Programming language:

R, Python, SQL, Java.

Packages:

Scikit-Learn, ggplot2, Pandas, NumPy, Matplotlib, SciPy, Seaborn, tensor flow.

Visualization Tools:

Power BI, Tableau, Advanced Excel (Pivot Tables, VLOOKUP).

IDEs:

Visual Studio Code, PyCharm, Jupyter Notebook.

Database:

MySQL, No SQL, Mongo DB, PostgreSQL, Oracle, SQL Server.

Cloud Platform:

AWS, Azure.

Other Skills:

SISS, SSRS, Machine Learning Algorithms, CI/CD, ETL/ELT Process Innovation & Management, ServiceNow, Google Analytics, DAX, SAS, Mathematics, Probability distributions, Confidence Intervals, Hypothesis Testing, Regression Analysis, Linear Algebra, Advance Analytics, Data Mining, Data Visualization, Data warehousing, Data transformation, Data Storytelling, Association rules, Clustering, Classification, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning,

Data Wrangling.

Operating Systems:

Linux, iOS, Windows.

Version Control Tool:

Git, GitHub.

PROFESSIONAL EXPERIENCE:

Data Analyst Anthem Blue Cross and Blue Shield - OH Aug 2023 – Current

Reduced report generation time by 30% through the implementation of automated data pipelines using Python, SQL, and SSIS, enhancing overall efficiency and data accessibility.

Enhanced operational efficiency by 20% by creating interactive dashboards in Power BI, facilitating real-time monitoring and decision-making for healthcare management.

Increased compliance with HIPAA regulations by 15% through meticulous data handling, reporting, and implementation of stringent data security measures.

Conducted exploratory data analysis (EDA) to identify key trends and insights, improving the accuracy of healthcare predictions and interventions.

Performed A/B testing to evaluate the effectiveness of different healthcare interventions, leading to data-driven decisions and improved patient outcomes.

Utilize Azure services like Azure Data Factory and Azure Synapse Analytics to streamline data ingestion and transformation processes.

Conducted data mining and advanced analytics using tools like Python and SQL to uncover hidden patterns and correlations, aiding in predictive analytics and risk assessment.

Designed and implemented data visualizations using Matplotlib and Seaborn to communicate findings to stakeholders, ensuring data-driven decision-making processes.

Assisted in the implementation of Electronic Health Record (EHR) systems, ensuring seamless integration and data consistency across healthcare platforms.

Data Analyst HCL Technology – India Oct 2018 – Nov 2021

Collaborated effectively with cross-functional teams to gather and refine business requirements for analytics projects, ensuring alignment with organizational goals and enhancing project outcomes.

Engaged in extensive data mining activities to uncover trends and actionable insights from large datasets, contributing to strategic planning and operational improvements.

Developed sophisticated reports and interactive dashboards in Tableau, greatly enhancing visibility into financial performance metrics and enabling stakeholders to make informed decisions.

Developed and monitored key performance indicators (KPIs) to assess financial health and operational efficiency, enabling proactive management and continuous improvement.

Streamlined data extraction from diverse sources, achieving a 50% reduction in reporting time, thereby enhancing operational efficiency and decision-making speed.

Utilize AWS services such as Amazon Redshift, AWS Glue, and Amazon Quick Sight to design and implement scalable data warehousing solutions for analyzing large volumes of financial transaction data, ensuring data security and compliance with banking regulations.

Utilized advanced Excel functions, including pivot tables and complex formulas, for intricate data manipulation and analysis, facilitating deeper insights into financial data.

Implement financial models using Python to forecast financial performance, analyze trends, and support investment decisions.

Engaged in data storytelling techniques to effectively communicate insights to non-technical stakeholders, ensuring that complex data narratives were accessible and actionable.

Conducted comprehensive regression analysis to pinpoint key risk factors, resulting in a 25% improvement in risk assessment accuracy, which significantly bolstered the organization's risk management framework.

Managed version control using Git and GitHub for collaborative projects, promoting code quality and facilitating seamless teamwork among analysts and developers.

EDUCATION:

Master of Computer Science - University of Findlay, Findlay, Oh, USA.

Bachelor of Computer Science – Vijaya Engineering College, Telangana, India.

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