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Click here or scroll down to respond to this candidate Candidate's Name Data Analyst
EMAIL AVAILABLE PHONE NUMBER AVAILABLE Chicago
Candidate's Name
PROFILE
Seasoned Data Analyst with approximately 7 years of hands-on experience in the industry. Proficient in
leveraging advanced analytical methodologies and tools, including Python, SQL, MATLAB, Snowflake, Big Query,
Spark SQL, NumPy, Pandas, Matplotlib, Git, Docker, CI/CD, Agile, and SAS. Adept at transforming complex data
sets into strategic insights,driving business growth and operational efficiency. Skilled in machine learning, data
modeling, mapping, mining, extraction, and transformation. I have demonstrated the ability to communicate complex
findings clearly and concisely to stakeholders.
SKILLS
Languages: Python, SQL, R, NoSQL, MATLAB
Frameworks, Tools & Library: NumPy, Pandas, Matplotlib, Flask, Django, Git, GitHub, Docker, CI/CD, Statistics,
HTML, CSS,Agile, SAS, Hadoop, Hive, PySpark, ggplot2, Snowflake
Databases: MS-SQL, MySQL, Redshift, Snowflake, Big Query, PostgreSQL, MongoDB, Spark SQL
Data Analysis & ETL Tools: Power BI, Tableau, Sterling Integrator, Data Bricks, MS Excel, Google Analytics, Machine
Learning, Data Modeling, Data Mapping, Data Mining, Data Extraction, Transformation
PROFESSIONAL EXPERIENCE
Data Analyst, JP Morgan, and Chase 11/2022 present | Remote, USA
Compiled data from diverse sources including transaction records, customer details, and historical fraud data
using Python, while employing SQL & NoSQL for storage and management, amalgamating them into a unified
repository.
Utilized NumPy and Pandas for data manipulation and preprocessing tasks, Docker for containerization
ensuring consistency in development and deployment environments, and Python libraries like Matplotlib and
Seaborn for visualizations to understand data characteristics and identify potential fraud patterns.
Leveraged domain knowledge and data mining techniques, utilizing Python libraries like NumPy and Pandas for
featureextraction and transformation, to create new features aimed at enhancing the performance of the fraud
detection model. Managed CI/CD pipelines for automated deployment and seamless integration, persistently
monitoring model performancethrough Power BI or Tableau for visualizations and MS Excel for data analysis.
Continuously refine advanced analytics models using SAS or PySpark, incorporating feedback from domain experts,
and updating based on evolving fraud patterns, while leveraging MATLAB for complex mathematical modeling and
algorithmdevelopment.
Data Analyst, Deloitte 06/2016 07/2021 | Hyderabad, India
Orchestrated a meticulous Exploratory Data Analysis (EDA) on a multifaceted dataset comprising crucial aspects
of IToperations, including network performance, system logs, user interactions, and service utilization metrics.
Harnessed a deep understanding and adept utilization of Python, SQL, NoSQL, MATLAB and Spark SQL for data
retrieval, manipulation, and analysis, while employing advanced libraries such as NumPy, Pandas, and
Matplotlib for comprehensive data profiling and cleansing to ensure dataset integrity and quality.
Managed version control using Git and containerization with Docker, enabling an organized workflow,
fostering collaboration, and ensuring reproducibility, while integrating CI/CD practices for seamless
deployment of analysis pipelines and models.
Designed and implemented interactive visualizations using advanced tools like Tableau and Power BI to highlight
keytrends and anomalies in data, while also building and training machine learning models utilizing PySpark
and otherlibraries to predict fraudulent activities based on identified patterns.
Evaluated model performance using relevant metrics, fine-tuning for optimal performance, documenting the entire
EDA process including methodologies, findings, and recommendations, and preparing comprehensive reports
for stakeholders.
EDUCATION
Master of Science, Governors State University 08/2021 08/2022 | Chicago, USA
Computer Science GPA: 3.6
Bachelor's Degree, Vignana Bharathi Institute of Technology, JNTU 06/2012 05/2016 | Hyderabad, India
Electronics and Communication Engineering GPA: 3.5
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