Vaishnavi G.

Vaishnavi G.

Data Scientist @ Enlyte

About

What makes me passionate about Data Science is the fact that it entails a cornucopia of possibilities that I could potentially explore through the culmination of my areas of interest, which are Statistics and Computer science. Since childhood, I have always had a penchant for problem-solving and playing with numbers which eventually led me to pursue master's in Applied Statistics. Owing to my interest in technology, I chose to pursue my second master's in Business Analytics which helped me gain a stronghold in the Data Science domain. Post-graduation, I aim to work as a data scientist in the technology industry to create data models from scratch by working on raw data. I intend to drive data-based decision-making by performing data analysis with precision. Gaining experience from this journey, I envision myself to be at the helm of the technology industry driving accelerated improvements in the fields of Data Science and Machine Learning. Analytical skills :SQL, MS Excel, Linear Regression, Logistic Regression, K-means Clustering, K-Nearest Neighbor, Data Mining, Hypothesis testing, Google Analytics, Decision trees, Random forest, A/B Testing, ETL Processing. Programming: Python(NumPy, Pandas, Scikit-Learn, matplotlib, ggplot) R(dplyr,ggplot2, caret, randomForest,xgboost), Java, C. Visualization : Tableau, Power BI,MS Excel. Technical skills:SAS, Hadoop, Hive, Spark, Pig, Web Development, Visual studio, Java Servlets Certifications : Cisco Certified Networking, Python - Microsoft Technology associate

Country

United States

City

Richardson

Industry

Internet

Skill

Apache Spark, Pivot Tables, analytic solver, SAS (Programming Language), Hadoop, PySpark, Hive, Apache Pig, Apache Impala, A/B Testing, AWS Lambda, AWS for Machine Learning and Data Analytics, Cloud Computing, Jupyter, Machine Learning, HTML, Cascading Style Sheets (CSS), PHP, MySQL, JavaScript

Experience

Enlyte

Data Scientist

Enlyte

LinkedIn
2025-1 - Present · 1 yr 9 mos

San Diego, California, United States

Enlyte

Data Analyst

Enlyte

LinkedIn
2024-3 - 2025-1 · 11 mos

San Diego, California, United States

The University of Texas at Dallas

Microsoft Ambassador

The University of Texas at Dallas

LinkedIn
2023-1 - 2023-5 · 5 mos

Richardson, Texas, United States

Data Science Club at UTDallas

Member

Data Science Club at UTDallas

LinkedIn
2022-1 - 2022-12 · 1 yr

Dallas, Texas, United States

Apex Infolab

Data Analyst

Apex Infolab

2019-5 - 2021-12 · 2 yrs 8 mos

Bengaluru, Karnataka, India

MentorMind

Menternship

MentorMind

LinkedIn
2018-5 - 2018-9 · 5 mos

Hyderabad, Telangana, India

A certification project with UBER ● Created a hiring strategy to scale up the team by producing the mean salaries based on the experience using Excel. ● Collected the data of the employees working for the competitor agencies, performed Data ETL techniques and was able to analyze the patterns and requirements using Excel and visualize the data. ● Presented Dashboards to Higher Management for more Insights using Power BI.

Education

The University of Texas at Dallas

The University of Texas at Dallas

LinkedIn

Business Analytics

2022-1 - 2023-12 · 2 yrs

Coursework : Database foundations for Data science Business Analytics with R Prescriptive Analytics Predictive Analytics using SAS Timeseries and applied Econometrics Big Data Causal Analytics and A/B testing Organising Business Analytics Platfroms using AWS Academy Data Analytics and Machine learning fundamentals Cloud computing Fundamentals Programming for Data science Foundations of digital product management Analytics Practicum

Osmania University

Osmania University

LinkedIn

Statistics

2019-8 - 2021-6 · 1 yr 11 mos

Project : Predicting the outcome of credit card transactions, Data modeling using ML techniques • Coordinated a team of 7 to develop a predictive model using Random Forest and Logistic Regression algorithms, achieving a balanced 50/50 sub-data frame with a precise distribution of fraudulent and non-fraudulent transactions. • Engineered a Neural Network architecture and conducted a comparative analysis of its performance with other classifiers, achieving an accuracy rate of 92%.

St. Francis College for Women

St. Francis College for Women

LinkedIn

Computer Science

2016-6 - 2019-4 · 2 yrs 11 mos

Project : Creating a website for online cosmetic store where I was responsible for both frontend and backend web development.

Vaishnavi G.'s Contact Information

Email

******@***.com

Phone

(**) *** ****

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