Data Analyst

Hareesh Kommineni

Data Analyst

ad5evx@r.postjobfree.com 945-***-**** Dallas, TX LinkedIn

SUMMARY

An experienced data analyst with approx. 4 years of professional experience with strong communication, and interpersonal skills.

Proficient in data visualization using Python, R Programming, Tableau, and SQL.

Demonstrated expertise in databases including Mongo DB, MySQL, and SQL Server.

Hands-on experience in Data Analytics, Data Wrangling, Data Exploration, and Data Modeling.

Skilled in SQL/PLSQL coding, utilizing Procedures, Triggers, and Packages.

Demonstrated expertise in Git and GitHub for version control.

Working knowledge of Amazon Web Services (AWS) and Cloud Data Management. EXPERIENCE

Bank of New York Mellon Data Analyst June 2023 - Present

Implemented Python, SQL, and Neo4j (Cypher) solutions to enhance hiring time trend detection and retention rates, resulting in a notable 20% improvement.

Enhanced the data model to cater specifically to financial domain needs, ensuring robustness and accuracy, thus elevating data representation.

Leveraged Python and SQL in Visual Studio Code to optimize data manipulation and modeling, elevating data accuracy and validity by 30%.

Conducted the migration of historical data to AWS cloud, establishing automated processes for incoming Clickstream Data, ensuring seamless integration and accessibility.

Led meticulous physical and logical data modeling, aligning metadata, user instructions, and production specifications with financial industry standards, achieving 100% compliance.

Conducted Data Mining operations to extract insights from financial data patterns, facilitating informed decision-making within the sector. Dell Technologies Data Analyst Jan 2019 - Aug 2021

Leveraged Tableau Desktop and SQL expertise to create SQL queries with join clauses, validating static and dynamic data, leading to a substantial 25% enhancement in data accuracy and efficiency.

Implemented tailored data warehousing and mining techniques for the computer hardware and software industry, aligning data processes with industry-specific needs for optimized operations.

Designed, configured, and deployed Amazon Web Services (AWS) solutions, resulting in a remarkable 40% improvement in operational efficiency and cost savings across various applications.

Developed comprehensive operational reports for senior management using Power BI and Tableau, showcasing proficiency in visualization tools to drive informed decision-making.

Utilized advanced MS Excel techniques for weekly/monthly reports, coupled with PowerPoint for effective presentations.

Excelled in data modeling and advanced SQL with columnar databases on AWS, tailored to meet Dell's specific operational needs.

Created complex SQL queries integrating joins, database links and Bulk collects for extensive data extraction and analysis across remote MySQL and SQL Server databases, significantly boosting data processing efficiency by 40%.

Collaborated with subject matter experts as a business requirements analyst, demonstrating strong communication and collaboration abilities to identify and understand requirements effectively. SKILLS

Languages: Python, R, SQL, and Neo4j

Databases: MySQL, SQL Server, SQL

Packages: NumPy, pandas, Matplotlib, SciPy, and ggplot2 Visualization Tools: Tableau, Microsoft Excel, and Power BI IDE’s Visual Studio Code, PyCharm, Jupyter Notebook. Version Control Tools: GIT, GitHub and JIRA

Data Analysis Techniques: Data Analytics, Data Wrangling, Data Exploration, Data Modeling, Data Visualization Cloud Platforms: AWS, Azure

Methodologies: Agile, SDLC, and Waterfall

Operating System: Windows, Linux, and macOS

EDUCATION

Masters of Computer Science Dec 2023

Southern Arkansas University, AR, USA

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