Machine Learning Data Analyst

Vasantha Lakshmi Eda

Detail-oriented data analyst skilled in transforming raw data into actionable insights using Python and SQL. Proven track record in machine learning and data visualization, with a commitment to continuous learning. Eager to contribute dynamic and solution- driven expertise to a collaborative team focused on innovative projects. Gmail: **************@*****.*** Ph: 480-***-**** LinkedIn: www.linkedin.com/in/vasanthaeda Technical Skills:

Programming: Python, Java, R, C, C++, Statistics, Web Scraping, Automation. Databases: MySQL, AWS Redshift, PostgreSQL

Web-Technologies: Java Script, HTML, CSS, Bootstrap Technologies, Frameworks, & Tools: Data Science, Machine Learning, AWS (Lambda, S3, EC2), API, Git, Power Bi, Tableau, Microsoft Tools. Data Handling Techniques: Data Cleaning, Data Analysis, Data Pre-Processing, Data Visualization. Work Experience:

Teaching Assistant, Arizona State University, AZ, USA (August 2023 – January 2024)

• Teaching and guiding students in Python, SQL, and Visualization Classes.

• Administers professors with classroom management and document coordination to maintain a positive and engaging learning environment.

• Supervises classroom activities, tutors, and reviews work. Partners with teachers to plan and implement lessons following the school's curriculum, goals, and objectives.

Research Assistant, Arizona State University, AZ, USA (January 2023 – June 2023)

• Managed and analyzed extensive datasets, exceeding 10 million records, demonstrating proficiency in data handling.

• Conducted comprehensive data cleaning, processing, and visualization to extract meaningful insights and improve data quality.

• Utilized machine learning techniques to develop a data matching model, enhancing data accuracy and efficiency.

• Prepared detailed documentation, showcasing strong communication skills, Strategy formulation and ability to convey complex findings.

• Collaborated on research projects by leveraging data expertise, driving data-driven decision-making processes.

• Involved in seminars and symposiums to revamp overall knowledge and understanding. Data Analyst, Cardlytics LTD, India (June 2021 – November 2022)

• Engineered a machine learning (ML) algorithm to prioritize top-performing brands, forecasting profitability for upcoming quarters. By deprioritizing 60% of standard brands, the model captured 93% of top brands' gains and boosted revenue by 88%.

• Orchestrated the integration of conversational AI with edge computing, slashing server workload by 60% in distributed systems. Employed advanced multi-threaded programming for parallel processing, significantly enhancing system performance.

• Spearheaded code optimizations and system enhancements, fostering a more intuitive user experience and streamlined navigation. Exhibited adept problem-solving skills in a dynamic IT environment.

• Presented compelling insights to clients through Power BI & Tableau dashboards, leveraging open-source data for market analysis. Crafted narratives through data storytelling, driving informed business strategies and product sales.

• Developed Python-based time series forecasting models and conducted Exploratory Data Analysis (EDA) to discern transaction trends. Implemented statistical machine learning techniques to refine predictive accuracy.

• Innovated data web scraping techniques, reducing extraction time by 1 hour. Employed Python for text mining and NLTK/Gensim libraries for NLP analysis on purchase data, optimizing checkout metrics.

• Enhanced data accuracy and efficiency by analyzing and manipulating complex data structures in Python. Integrated 12 million records from Snowflake and other sources, augmenting features for process improvement.

• Constructed a comprehensive reference table mapping 900,000 business codes to their respective brand families, facilitating enhanced data analysis using Python and SQL. Specialized in data visualization, programming, and API integration for comprehensive data analytics.

• Optimized data collection efficiency by employing unsupervised machine learning (K-means clustering) to categorize 10,000 clients into four distinct groups, enabling tailored collection strategies.

• Analyzed buying patterns of 10 million customer records using Python & SQL, collaborating on visual reports with Power BI. Applied feature engineering and RFECV for precise monthly and weekly purchase predictions.

• Reduced data extraction time by 80% through Pagination techniques for REST APIs, streamlining data integration and ETL processes across diverse systems using SQL and Microsoft Excel.

• Collaborated with data engineers to optimize pipelines using SQL, ADF, and Snowflake, improving processing efficiency. Utilized Jira for efficient project management, optimizing workflows and ensuring timely project delivery. Data Analyst Intern, Cardlytics LTD, India (January 2021 – June 2021)

• Utilized various professional statistical techniques and maintained large databases to collect and study data from partners and customers.

• Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry. Conducted workshops and seminars to remain current on computer applications.

• Identified, probe and interpreted trends or patterns in complex data sets by finding correlations and visualizing with charts.

• Employed data mining techniques to identify business opportunities. Education

Master of Science in Information Technology Project Management (January 2023 –December 2024) Arizona State University, Arizona 4.0/4.0

Bachelor of Technology in Information Technology. (December 2021) Gayatri Vidhya Parisadh College of Engineering, India 8.3/10 Certifications

AWS: AWS Certified Machine Learning – Specialty

Microsoft Certified: Azure Enterprise Data Analyst Associate Accenture: Data Analytics and Visualization

BCG: Data Science

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