Venkata Sushma Pagidala | Graduate from University of Essex

Venkata Sushma Pagidala

Graduate from University of Essex

Based in London,UK

About

Hello! I'm Venkata Sushma Pagidala, a results-oriented Data Analyst with a passion for transforming complex data into actionable insights. With a solid foundation in applied data science and 2 years of professional experience at Wipro, I specialize in understanding business objectives, driving strategic decisions through accurate data insights, and developing comprehensive summary reports.

Skills

Projects

Dallas Crime Data Analysis

Conducted comprehensive analysis of Dallas crime data from 2016 to uncover insights into crime patterns, demographics, and temporal trends using data visualization techniques. Cleaned and prepared the dataset, handled missing values, and performed exploratory data analysis (EDA) to examine data.

IPL Data Analysis

Used Databricks Apache Spark for the analysis of the IPL data. Initially data was stored in AWS S3 bucket, it is mounted on to Apache Spark. The data is then analysed using the spark SQL (data is in structed format). For further analysis, used matplotlib and seaborn for visual analysis of data

Movie Recommendation Systems

Recommendation systems use various filtering techniques to recommend movies to the user, such as 1.Demographic filtering 2.Content-based filtering 3.Collaborative based filtering(SVD) and 4.Hybrid filtering.

Experience

2021-2023

Software Engineer at Wipro

• Created 3 Tableau reports and dashboards weekly, presenting insights to stakeholders and driving data-driven decision-making. • Utilized SQL for data querying and manipulation, processing 50 queries per day and extracting valuable insights. • Collaborated with 10 cross-functional teams to understand commercial and customer objectives, resulting in the successful implementation of data-driven strategies. • Delivered 30 new analytics and insights projects, driving actions through the provision of accurate and timely insights. • Developed 20 summary insight reports, consolidating key findings and recommendations to communicate insights to internal customers. • Contributed to a 30% increase in data product capabilities and usage within the organization.

Education

2023-2024

Msc. Applied Data Science, University of Essex

Modules: R, Python, Data Visualization, Statistics, SQL, Artificial Intelligence and Machine Learning Algorithms, Text Analytics, Data Analysis • Led a team of 3 and achieved 80% for developing a Machine Learning model for predicting Alzheimer’s. • Used tunning method to increase the accuracy of a model by 13% • Analysing financial data increased the profits by 8%

2017-2021

Bachelor's in Electronics and Communication Engineering , Sri Venkateswara University of Engineering

2015-2017

High School, Narayana Junior College