Data Science Machine Learning

Sindhu. A

+1-949-***-**** Email:****************@*****.***

EDUCATION

RMK College of Engineering and Technology Tamil Nadu, India

Bachelor of Science: Computer Science June 2018-July 2022

Wichita State University Wichita, KS, USA

Master Of Science: Computer Science Aug 2022 – Dec 2023

TECHNICAL SKILLS

Data Science Languages: Machine Learning, Python, R

Programming Languages: AWS, Java, C, Hive, SAS

Operating Systems: UNIX, WINDOWS, MAINFRAME Z/OS

Data Visualization Tools: Tableau, Excel, Adobe Analytics, Google Analytics, Splunk, Visual Analytics

Office Tools: MS Office

Libraries: Pandas, NumPy, Matplotlib, Seaborn, Stats models

Databases: SQL, MYSQL, MS Access, Hadoop, AWS S3, MongoDB

PROFESSIONAL EXPERIENCE

Data Engineer Intern

Jan 2023-Present

Infoshare Systems

Responsibilities:

•Led the team in Migrating programs from SAS Mainframe DB2 to SAS EG-Teradata

•Utilizing Python and PySpark extensively within the ETL process for advanced data manipulation and Transformation.

•Leveraging ETL (Extract, Transform, Load) tools to create efficient data pipelines for extracting, transforming and loading data.

•Conducted statistical analysis using SQL, Python, R programming and Excel, showcasing a versatile analytical skill set.

•Getting business requirement, perform business analysis and provide functional and technical solutions. Utilized Git for seamless version control collaboration with Data Engineering and Data Science teams.

•Created Unite Test documents to log the unit test case and test results to update the business teams with the status.

•Validating programs of peers for Quality check and updated the unit test document or the tracking sheet.

•Developed SAS programs to read the raw input files and covert them into SAS datasets in standard format to update the Teradata Database.

• Communicating with managers and business owners to discuss pros and cons regarding the migration and status.

• Maintaining code repository to track the changes made to the SAS programs using GitHub repository.

•Ensuring the validation of converted programs is completed successfully and support in making changes as needed if requirements change and issues are identified.

Data Analyst Intern

Jan 2019-Aug 2022

Pyramid Technology Solutions

Responsibilities:

• Data Managements and ETLs for multiple source systems to land data to SAS Environment.

•Developing analysis reports and dashboards based on the business requirements using SAS, SQL, Python, Excel and AWS

•Created Statistical report and visualizations on the billing and payment data using python libraries like Pandas, NumPy.

•Validating the billing and payment data in the different databases using SAS/SQL and Hadoop.

•Creating the weekly and monthly status reports using Excel.

•Performing Analysis on the billing and payment surveys and providing insight for the business improvements using adobe analysis.

•Migrating the payments and transaction data from Hadoop to AWS S3.

•Worked to improve the conversion rates by running weekly multivariate tests of each products funnel.

•Collects inputs, measures outcomes and reports key performance indicators.

•Provides high level of support for problem and issue resolution and provides technical consultation and direction to business and product team members.

ACADEMIC PROJECTS

•Credit Card Risk Management: Risk assessment and optimization: Spearheaded data collection, preprocessing and validation using Excel and SQLite. Applied data analytics techniques resulting in 20% faster training time and 10% resource savings via optimized feature selection. Personalized decision making: Developed a machine learning with an 83% accuracy rate, facilitating personalized offers and data-driven credit card decisions. Which led to a 40% reduction in advertising costs. Verified quality of deliverables and conformance to specifications before submitting to clients.

•Beer Market Analysis: Data cleaning and Integrity: Conducted data normalization and cleaning on over 35,000 beer reviews using SQL, ensuring data integrity and reducing error rate by 5%. Market Trend analysis and Visualization: Applied data visualization techniques in Tableau to present actionable insights. Forecasting a 9% growth in the beer industry market share and guiding strategic business decisions. Digital Marketing Strategy: Leveraged data analysis for market segmentation and target audience identification, stimulating a 16% increase in consumer interest over the past decade.

CERTIFICATIONS

•Data Analytics Certification

•Tableau Certification

•Python Project for Data Science

•HTML Certification

EXTRACURRICULAR ACTIVITIES

•Organizing Head, Technical fest, RMK College of Engineering and Technology

Organized a series of events to promote innovative technology enlisted sponsors to collect $15,000 in sponsorship, a 35% increase over previous years, spearheaded a media effort and increased participation in a technical event by more than 40%.

Administrated 8+ engaging group activities and 1 workshop on short term training on Cyber attacking tools.

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