PONNALURI VYSHNAVI-|- linkedin.com/in/vyshnavi-ponnaluri-|github.com/vyshnaviponnaluri
Professional Summary
Data enthusiast with over 3 years of experience as a Data Analyst, Proficient at solving analytical challenges with business impact. Expertise in integrating data from multiple resources and multiple formats to produce meaningful insights, build models to address the business problem with accuracy and efficiency. Achieved 15 % improvement in processing time of KYC application of the customers.
Skills
Statistical Methods- Hypothesis Generation, Uni Variate Analysis, Bi Variate Analysis.
Machine Learning -Linear Regression, Logistic Regression, Decision Trees, Random Forest, K- Nearest Neighbours, K-Mean Clustering
Data Analytics
Data Visualization
Database Language: SQL, DB2
Tools and Technologies: R, Python, Tableau, Jupiter Notebook
Functional Skills: Process Interpretation, Analytical Ability, Team Management, Interpersonal Communication, Problem solving
Experience
Analyst April 2021 – Current
Latent View Analytics
Collect metrics required to implement business process
Develop SQL queries for data modelling.
Performed Exploratory Data Analysis to define patterns and predictions using NumPy, pandas, mat plot libraries in python.
System Engineer Aug 2018 – March 2021
Tata Consultancy Services
Know Your Customer (KYC) Prediction for Account: KYC is main module to leverage account-level activities for customer. KYC needs to be validated for each account to ensure hassle-free services on account.
Gathered metrics required to implement business process using SQL queries.
Designed and constructed 50 Ad-hoc queries for data modelling.
Performed Exploratory Data Analysis to define patterns and predictions using NumPy, pandas, mat plot libraries in python.
Coordinated statistical activities for 5 business problems.
Showcased significant columns performing t-tests and chi-square tests.
Facilitated 5 monthly dashboards reports to investigate changes in data using Tableau.
Addressed business problems by implementing classification algorithms like decision tree, random forest, achieved 40% more accuracy than previous versions.
Accounted for 15% of improvement in KYC processing time.
Work with subject matter experts and stakeholders to recommend insights based on user interaction.
Subordinated with 3 members to accomplish tasks.
Internships
WIDHYA Virtual Internship Program in Data Analytics: (18th September 2020-10th November 2020)
Indian Premiere League Prediction: Objective of this internship program is to analyse historical data of previous IPL matches and predict the winner of the match for a day
Analyse and visualize the data using python libraries and succeeded in predicting the correct winner for 15 matches.
Projects
Coronary Heart Disease Prediction:
Objective of the project is to predict whether a person would be affected witha coronary heart disease or not based on their past medical historical data of 10 years
Incorporated mice package, square root transformation, capping techniques to resolve the effect of null values, skewness, outliers on data set of 10000 rows and 12 columns.
Build classification modelslogisticregression, randomforest, achievedaccuracyof75 % and AUCof 0.75 Mode of Transport:
To know the mode of transport that the employees prefer while commuting to the office
Models such as logistic regression, KNN were applied to address the use case, showcased an improved accuracy of 20 % after applying Bagging and Boosting procedures to the model.
YouTube likes Prediction:
Predict the number of likes a YouTube video will get from the time video gets uploaded.
Implemented use case using logistic regression, achieved an accuracy of 55%.
Achievements
Big Data and Hadoop Fundamentals Certification
Star Performer for Year
Star Team Award
Education
Post-Graduation: Business Analytics2019
Great Lakes Institute of Management
Bachelor of Technology: Electronics and Communication Engineering2017
Gandhi Institute of Technology and Management
