Summary
Overview
Work History
Education
Skills
Certification
Others
Hobbies and Interests
Awards
Publications
Timeline
Generic

Divya Krishna Konda

Sydney,Australia

Summary

A results-driven data analyst with 8 years of experience in leveraging visualizations, data analysis, and machine learning techniques to extract actionable insights. Proficient in Python, SQL, and R programming languages, with expertise in data preprocessing, modeling, and visualization using Tableau, Alteryx and Power BI. Seeking an opportunity to leverage my expertise in data visualization, analytics, and team leadership to drive data-driven decision-making for an organization.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Senior Data Analyst

NBN Co
11.2023 - Current
  • Developed and maintained advanced SQL queries to extract, transform, and load (ETL) data from multiple sources for reporting and analysis.
  • Designed and automated Alteryx workflows to streamline BAU (Business As Usual) processes, delivering efficient, repeatable data solutions and actionable business insights.
  • Contributed to the Proactive Assurance Fibre Flip program by identifying underperforming locations and assessing eligibility for fibre service upgrades.
  • Created interactive dashboards in Tableau and Power BI to monitor SMS compliance, take-up rates, and fibre rollout performance, enabling data-driven decision-making.
  • Conducted in-depth data analysis to understand business requirements and uncover trends, correlations, and anomalies, enhancing team insight and strategic direction.

Data Analyst

Luxoft Information Technology
04.2021 - 03.2023
  • Collaborated closely with the bank’s data center team to gather and analyze data, identifying issues and any errors in the data contributed to a culture of proactive decision-making within the organization.
  • Client: UBS Bank, Sydney

Data Scientist/Analyst

Standard Chartered Bank
04.2018 - 03.2021
  • Developed an ensemble model using Random Forest and XGBoost to predict the likelihood of credit card and personal loan customers missing payments in the future.
  • Developed visualizations in Tableau utilizing the model output and giving insights to the end user with detailed decile-level information.
  • Collaborate closely with data analysts and engineers to establish seamless data integration processes into dashboards, ensuring data accuracy and timeliness.
  • Performed root cause analysis using Python to identify and address any underlying factors affecting model performance and highlighting the models' performance and their impact on business.
  • Created pipelines to streamline the process of extracting data, data cleaning, feature engineering, modeling, and deployment in production.
  • Presented findings and insights to technical and non-technical stakeholders, facilitating informed decision-making and driving business growth.
  • Client: Tookitaki (startup), Singapore

Junior Data Analyst

Mercedes Benz R&D
01.2016 - 12.2017
  • Created pipelines in IBM SPSS Modeler to perform data extraction, data cleaning, data transformation, and data analysis to generate customized reports and visualizations.
  • To determine trends and relationships within the data, I applied advanced statistical methods such as the chi-square test and correlation analysis to identify significant associations and dependencies between variables, allowing for a deeper understanding and interpretation of the data.
  • Developed and maintained reporting templates and dashboards using data visualization tools (e.g., Tableau) to track key performance indicators.
  • Used SQL to extract, clean, and manipulate data from various sources to generate accurate and reliable reports.

Education

M.Tech -

Indian Institute of Technology (IIT) Hyderabad
01.2015

B.Tech - undefined

Sri Venkateswara University College of Engineering
01.2012

Class XII - undefined

State Higher Secondary Board
01.2008

Skills

  • Advanced SQL: Expertise in writing complex queries, optimizing database performance, and creating robust data pipelines
  • Data Visualization: Advanced skills in designing interactive dashboards, reports, and data visualizations to support strategic business decisions in Power BI and Tableau
  • Reporting: Extensive experience in creating clear, concise, and visually appealing reports that effectively communicate data insights to stakeholders
  • Statistical Analysis: Sound knowledge of statistical concepts and forecasting techniques, allowing for accurate interpretation and analysis of data
  • Predictive Modelling: Strong understanding of machine learning algorithms and experience in building regression, clustering, decision trees, Random Forest, XGBoost, and SVM models to solve business problems
  • Database Solutions: Skilled in working with cloud-based platforms like AWS, and Azure
  • Business Acumen: Understanding and working within data governance frameworks / requirements such as adhering to data security requirements and handling the project end-to-end
  • Problem-Solving: Strong analytical and problem-solving skills, enabling the identification of data-driven solutions to complex business challenges through dashboards
  • Communication: Excellent verbal and written communication skills, facilitating effective collaboration with cross functional teams and the ability to present complex data insights clearly and concisely to stakeholders

Certification

  • Microsoft Power BI training in Udemy
  • Building Interactive dashboards in Tableau in Udemy
  • Machine Learning in Udacity

Others

Language: English, Telugu, Tamil

Hobbies and Interests

Interested in solving Kaggle problems

Awards

Awards: Awarded certificate of Research Excellence at IIT Hyderabad

Publications

  • Publications:
  • FPGA-based Preliminary CAD for Kidney on IoT Enabled Portable Ultrasound Imaging System” to be presented at IEEE HEALTHCOM 2014 Conference Proceedings. (Awarded as best paper).
  • Computer Aided Abnormality Detection for Kidney on FPGA based IoT Enabled Portable Ultrasound Imaging System”, IRBM Journal.
  • FPGA-based Portable Ultrasound Scanning System with Automatic Kidney Detection”, has been accepted by MDPI Journal, 2015.

Timeline

Senior Data Analyst

NBN Co
11.2023 - Current

Data Analyst

Luxoft Information Technology
04.2021 - 03.2023

Data Scientist/Analyst

Standard Chartered Bank
04.2018 - 03.2021

Junior Data Analyst

Mercedes Benz R&D
01.2016 - 12.2017

B.Tech - undefined

Sri Venkateswara University College of Engineering

Class XII - undefined

State Higher Secondary Board

M.Tech -

Indian Institute of Technology (IIT) Hyderabad
Divya Krishna Konda