Yamini Nathani

Richardson, Texas, *****; +1-469-***-****

ad4txi@r.postjobfree.com;https://www.linkedin.com/in/yamini-nathani EDUCATION

The University of Texas Dallas May 2025

Master of Science in Business Analytics GPA 4.0

Honors: UT Dallas Dean’s Excellence Scholarship for Fall 2023-Spring-2024 Birla Institute of Technology and Sciences, BITS-Pilani April 2013 Bachelor of Engineering (Hons.) Computer Science GPA 3.0 SKILLS:

Languages: Python, R, SQL, C, HTML, CSS, JavaScript, XML, JSON Big Data Tools: Hadoop, Apache Spark, Pyspark

Databases: SQL Server, MySQL, MS Access, Oracle, DB2, Sybase Analytics Tools: MS Excel, Tableau, SAS EM, MS Power BI, SAS Data Science: Statistical Analysis, Data Visualization, Machine Learning, Artificial Intelligence, Regression, Feature Scaling, Decision Tree, Random Forest, Convolutional Neural Networks, Classification, Probability, Cluster Data Analysis and Machine Learning Libraries: NumPy, PyTorch, Pandas, scikit-learn, Matplotlib, Seaborn, TensorFlow. Data Science: Statistical Analysis, Data Visualization, Machine Learning, Artificial Intelligence, Regression, Feature Scaling, Decision Tree, Random Forest, Convolutional Neural Networks, Classification, Probability, Cluster PROFESSIONAL EXPERIENCE

Tectilla Digital Innovations, Bengaluru, India August 2018 to December 2022 Software Engineer

• Analyzed machine data, captured in real-time, and generate meaningful dashboards on Tableau that helped in improving client conversion rate by around 20% in 6 months.

• Designed Key Performance Indicators, and Auto Adjudication of applications that optimized turnaround time onto 45% using Python packages.

• Built event detection algorithm using Python’s Numpy, Scipy packages, Pandas dataframes and Scikitlearn for statistical analysis, and reporting mechanism that detected 24% more than prior models.

• Administered a 4 member team and provided technical leadership on ETLdesign and development best practices. Sattwica Technologies Pvt Ltd, Vijayawada, India August 2014 to July 2018 Software Engineer

• Migrated MySQL to AWS Redshift using AWS DMS service (Ability to migrate different databases from one database to another database)

• Built several dashboards for the higher-level management like Customer Analytics, FC Operations, Marketing dashboard, Fulfilment Status, rates provided by FlavorCloud or not, Tally Insights, Tally grid using Tableau and Power BI as per client requirement

• Created monthly invoice reports by collecting data from payments interfaces like PayPal, Stripe and parsing the database’s JSON objects.

• Optimized AWS Redshift database for better query performance using WLM, materialized views, sort key, and CloudWatch metrics.

Innopark (India)Pvt Ltd, Hyderabada, India June 2013 to May 2014 Technical Analyst

Environment: Python, MySQL, Redispubsub, Nginx, HAProxy

• Designed and developed a Logic Engine to ease the application of logic rules to the gaming websites.

• Developed a system to detect and block fraud players and tag all other duplicate user accounts.

• Analyzed server data and logs to identify network connectivity issues in multi-player gaming environment and bottle necks in architecture as well as errors in server code like logical errors, uncaught exceptions, memory leaks. ACADEMIC PROJECT EXPERIENCE

Customer Personality Analysis

• Customer Personality analysis and segmentation using R, and ML frameworks (Clustering, Decision Tree, Segmentation, Boosting, Random Forest, Generalized Linear Model) to identify behavior patterns, and test hypotheses.

• Performed data mining; data collection, data cleaning, developing models, validation, visualization and performed Gap analysis

• Evaluated models using Cross Validation, Log loss function, ROC curves and used AUC for feature selection and elastic technologies like Elasticsearch, Kibana etc. Photo Collage Management System

• Designed a platform for amateur photographers to showcase their work and garner clients on MySQL and MongoDB. Involved in writing, testing, and implementing triggers, stored procedures and functions at Database level using PL/SQL.

Heart Attack Analysis & Prediction:

• Implemented Machine Learning, Computer Vision, Deep Learning and Neural Networks algorithms such as linear regression, classification, multivariate regression, Naive Bayes, Random Forests, K-means clustering, KNN using TensorFlow, Keras and designed Prediction Model using Data Mining Techniques with help of Python, and Libraries like NumPy, SciPy, Matplotlib, Pandas, Scikitlearn. ACADEMIC COURSES:

• Business analytics with R, Advanced Statistics for Data Science, Database Management, Applied Machine Learning, Prescriptive Analytics, Predictive Analytics for Data Science(SAS), Programming for Data Science, Big Data, Cloud Computing Fundamentals(AWS)-(AWS Certified Cloud Practitioner) ADDITIONAL INFORMATION

Languages : English, Hindi, Telugu.

Eligibility: F1 VISA, Eligible to work in the US for internships and full-time for up to 36 months without sponsorship.

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