Krishna Vamshi Nethi

+1-469-***-**** ad120t@r.postjobfree.com Richardson,

TX.

EDUCATION

Master of Science in Business Analytics Aug 2022 – May 2024 University of Texas, Dallas, TX GPA: 3.65/4.0

Coursework: Advanced Statistics, Database Foundation, Business Analytics with R, Causal Analytics and AB testing, Bigdata, Predictive analysis, Prescriptive analysis, Cloud Computing, Applied Econometrics, CRM with Salesforce, Applied Machine Learning. Bachelor of Engineering in Computer Science and Engineering (B.E. CSE) Aug 2017 - May 2021 Madras Institute of Technology, Anna University, Chennai, India CGPA: 7.23/10 Course Work: Data Structures & Algorithms, Parallel & Distributed Computing, Machine Learning, Cloud Computing, Soft. Security. PROFESSIONAL SUMMARY

Detail-oriented Data Scientist with a passion for technology and data. Proficient in Machine Learning and equipped with strong analytical skill, strong problem-solving skills and willingness to learn more. Currently pursuing a graduate degree in Data Science at an accredited US university, demonstrating a commitment to the field with proof of concept. Proven ability to collect, organize, analyze, and disseminate data independently, with attention to detail and within a collaborative team environment. Possesses a foundational background in Data Science and a keen interest in machine learning, offering valuable expertise in build and release management. SKILLS

Programming: C++, Python, R, SAS, SQL, Oracle Database, MongoDB, Stata. Frameworks & Techniques: Predictive Analytics, Statistical Analysis, software development, NLP, Apache Spark, Hadoop, Hive, AWS, MapReduce, Machine Learning and algorithms, Data Engineering Microsoft Excel, Microsoft PowerPoint, Tableau, AB Testing, Salesforce, Data warehousing and ETL pipelines, Power BI, Gantt charts.

Version Control & OS: Windows, Linux, GitHub.

WORK EXPERIENCE

Protiviti Pvt Ltd, Chennai, India (Data Analyst) Sep 2021 - Jul 2022

• Spearheaded the implementation of advanced data analysis techniques to extract actionable insights from complex datasets; presented findings through clear and concise reports, resulting in data-driven decision-making and improved business outcomes.

• Assisted Senior consultant with the risk assessment for banking operations by optimizing analysis of the TVR database, resulting in improved decision-making and a 2% increase in efficiency.

• Conducted thorough exploratory data analysis (EDA) to uncover patterns, correlations, and trends within large sales datasets. By applying statistical techniques and data visualization, valuable insights were extracted, leading to the development of targeted marketing strategies. As a result, revenue increased by 10% through more focused and effective marketing campaigns.. Xenovex Pvt Ltd, Chennai, India (Software Developer Intern) May 2019 - June 2019

• Devised and implemented a comprehensive Key Performance Indicator (KPI) system, resulting in a 20% increase in data-driven insights for management decision-making.

• Developed an interactive website using AngularJS for the front end and C# for the back end, enhancing user engagement by 30% and ensuring seamless functionality across all modules.

• Spearheaded the development of a robust application framework, achieving a 40% reduction in system errors and laying a solid foundation for future enhancements.

PROJECTS

Optimizing Infection Notification in Contact Tracing, MIT, AU Aug 2020 - Dec 2020 Worked on leveraging graph databases for high accuracy and using Convolutional neural networks to classify the movement of a person, resulting in increased efficiency and reduction in mobile battery consumption. Additionally, the prediction of potentially infected people is trained using Machine Learning models.

Synthesizing *nix Scripts from Natural Language Description Constructed Grammar files for common Bash commands scraped from different sources and converted them to an Abstract syntax tree-like intermediate language for conversion to Bash. Proposed a debugging Tokenizer model to tokenize the dataset using an advanced and modified WordPieceTokenizer version and convert them to bash. Movie Recommendation System

Developed a system for recommending movies to users based on their historical viewing habits and preferences, Built a web scraper in python to acquire the data from different sources. Used machine learning techniques in Python like NumPy, Pandas, and Scikit-learn for data modeling, and used Amazon Web Services to put the system on a cloud architecture (AWS). Bike Rental Analysis

Evaluated various predictive analytics models on the Bike Rental data prototypes, measuring their effectiveness with metrics like accuracy, precision, and recall. Opted for a forecasting model due to its ability to handle dynamic data, supported by a 15% accuracy boost and 25% reduction in forecasting errors, ensuring reliable insights in evolving scenarios. VOLUNTEER

Data Science Club (Technical Officer)

Data Structure and Algorithms Tutor