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Click here or scroll down to respond to this candidate Candidate's Name
Mt Pleasant, MI | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE
SUMMARY
Achievement-driven Data Analyst with over 4 years of applied experience spanning Healthcare and IT sector.
Proficient in Python & SQL, with extensive knowledge in data analysis, statistical modeling, and machine
learning techniques.
Expertise in utilizing leading data science libraries such as NumPy, Pandas, Matplotlib, SciPy, Scikit-learn,
and TensorFlow for advanced analytical insights.
Effective communicator adept at transforming complex data into actionable insights through visualization tools like
Tableau, Power BI, and Advanced Excel, achieving a 20% increase in decision-making across teams and stakeholders.
Comprehensive experience with multiple databases, including MySQL, PostgreSQL, MongoDB, SQL Server & Oracle.
Displayed expertise in data transformation, warehousing, and mining, achieving data accuracy and integrity
throughout analysis processes for over 100 datasets.
Adept at utilizing Git and GitHub for version control, ensuring effective collaboration and codebase management
in team environments.
Strong communication and presentation skills to effectively translate complex analytical findings into actionable
insights for technical and non-technical stakeholders, showcasing leadership in problem-solving, decision-making,
and efficient time management.
SKILLS
Programming Languages R, Python, SQL
Packages NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, dplyr, tidyr, ggplot2,
shiny, TensorFlow, Plotly
Visualization Tools Tableau, Power BI, Advanced Excel (Decision Analysis tools, Pivot Tables,
LOOKUP Functions, Charts)
Cloud Technologies AWS, Microsoft Azure
Database MySQL, PostgreSQL, MongoDB, SQL Server, Oracle
Tools and Platforms, Query Data Studio, Google Analytics, Alteryx, SAS, SSIS, SSRS, Celonis, JMP, DAX,
Languages Power Query
Statistical Analysis and Machine Learning Algorithms, Probability Distributions, Confidence
Modeling Intervals, ANOVA, Hypothesis Testing, Regression Analysis, Linear Algebra
Other Technical Skills Advanced Analytics, Data Mining, Association Rules, Clustering,
Classification, A/B Testing, Forecasting & Modeling, Data Warehousing,
Data Transformation, Data Cleaning, Data Wrangling, Data Visualization
IDEs Visual Studio Code, PyCharm, Jupyter Notebook, IntelliJ
Version Control Tools: Git, GitHub
Collaboration Jira
Methodologies: SDLC, Agile, Waterfall
Operating Systems: Windows, Linux
EXPERIENCE
Data Analyst | UnitedHealth Group, Michigan, USA May 2023- Present
Integrated disparate healthcare datasets including patient demographics, medical procedures, and
treatment outcomes to generate comprehensive reports and dashboards for stakeholders, enabling informed
decision-making.
Developed and implemented data quality checks and validation processes using Tableau and data profiling
tools to maintain 98% standards of data accuracy, completeness, and consistency.
Established robust data governance frameworks using Python scripts to ensure 100% compliance with
regulatory requirements and industry standards.
Defined and enforced business rules for master data management using Excel spreadsheets, optimizing data
processes, and enhancing efficiency with a 30% reduction in processing time.
Analyzed sales trends and customer behaviour using SQL queries, facilitating strategic decision-making, and
achieving a 10% increase in sales efficiency.
Enhanced query performance in Microsoft SQL Server, achieving a 95% efficiency improvement, optimizing
data retrieval and processing.
Utilized AWS services such as S3, Redshift, or Athena to implement scalable data storage and querying
solutions, ensuring reliable and efficient data management for analytics and reporting purposes.
Implemented comprehensive statistical analysis using SPSS, ensuring robust insights, and achieving high reliability.
Worked on R for data cleaning, manipulation, visualization, and statistical analysis, developed interactive
dashboards using R Shiny to monitor trial metrics and implemented ggplot2 and plotly for visualizing drug
efficacy trends enabling clear communication of insights to stakeholders.
Utilized NumPy, Pandas, scikit-learn, and TensorFlow to develop robust predictive models with high accuracy and
reliability, enhancing decision-making & driving improved business outcomes through advanced analytics and insights.
Used Matplotlib to create clear and insightful visual representations of data trends and patterns, enhancing
data analysis and presentation capabilities for stakeholders and decision-makers.
Developed KPI reporting mechanisms and interactive dashboards in PowerBI, ensuring 95% accuracy in
monitoring data quality metrics and performance indicators.
Leveraged Jupyter Notebook for interactive data exploration, analysis, and visualization, fostering a
collaborative environment for sharing insights and iterative model development.
Data Analyst | Info Edge India Ltd., India August 2019- July 2022
Analyzed large datasets to identify trends and anomalies in financial transactions and customer behaviour
using Python, increasing forecasting accuracy by 25%.
Performed data cleansing and validation using Excel & Talend, reducing data errors by 15%.
Implemented machine learning models for fraud detection, credit risk assessment, and investment
optimization with Scikit-learn, TensorFlow, and SAS, improving model accuracy by 15%.
Conducted financial and risk analysis for investment decisions using MATLAB, boosting investment performance by 20%.
Designed and implemented a customer segmentation model using SQL, resulting in a 20% increase in targeted
marketing campaign effectiveness.
Created impactful visualizations with Matplotlib and Seaborn, visualizing financial trends and performance metrics.
Enhanced data processing efficiency by 40% through optimizing Apache Spark workflows, resulting in faster
data analysis and improved decision-making capabilities.
Developed and maintained dashboards and reports with Tableau, improving decision-making speed by 20%.
Implemented Git for version control, ensuring efficient collaboration, seamless code integration, and robust
documentation management.
Efficiently utilized Visual Studio for data analysis and development tasks, optimizing workflow and code
management to enhance productivity.
Applied Agile principles such as iterative development, continuous improvement, and collaboration with
cross-functional teams to streamline data analysis processes, enhance responsiveness to changing
requirements, and deliver actionable insights efficiently.
Collaborated with various teams to deliver actionable insights, enhancing project efficiency by 15%.
EDUCATION
Master of Science in Information Systems- Central Michigan University, Michigan, USA
Bachelor of Technology, Electrical & Electronics Engineering - G. Narayanamma Institute of Technology &
Science, India
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