Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

VISHNU NARANTHATTA

Limerick

Summary

I am a recent Master's graduate in Data Analytics who holds a Stamp 1G visa, with three years of experience in Data Analytics. I transitioned to data analysis to take on a more innovative role in decision making and problem-solving. Experienced in collecting, cleaning and interpreting large datasets. My academic background equipped me with cutting-edge data analysis techniques, including statistical analysis, data visualization, and SQL. I'm passionate about deriving actionable insights from data to drive business strategies and innovation. Combining my dual master's degrees in statistics and data analytics, with three years of practical experience in data analytics, I present a unique fusion that positions me as a valuable asset in the data-driven landscape.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Data Analyst

Infosys
06.2021 - 07.2022
  • Developed dashboards and reports with Tableau to monitor sales and marketing KPI's for an American jewellery client.
  • Generated standard or custom reports summarizing business, financial or economic data.
  • Conducted data analysis to prepare forecasts and identify trends.
  • Conducted exploratory analysis of complex datasets using Python libraries such as NumPy and Pandas.
  • Partnered with data scientists to support ongoing research and analytics initiatives.
  • Leveraged SQL queries to extract, transform and load data into databases.

Data Analyst

Orange Distribution
07.2020 - 06.2021
  • Collected, tracked and reviewed large datasets to evaluate business and market trends.
  • Data cleaning and Data validation using Microsoft Excel.
  • Built visualizations that enabled management to quickly interpret results from complex analyses.
  • Utilized Microsoft Excel features such as VLOOKUP, HLOOKUP, VBA macros and pivot table for comprehensive data analysis.
  • Generated reports and obtained data to develop analytics on key performance indicators.

Data Analyst

Introtallent
07.2020 - 06.2021
  • Gathered and organized data to analyze current industry trends.
  • Worked with internal teams to understand business needs and changing strategies.
  • Leveraged SQL queries to extract, transform and load data into databases.
  • Interacted with non-technical stakeholders to deliver analyses and answer questions on deliverables.
  • Provided technical support for existing reports, dashboards or other tools.

Education

Master of Science in Data Analytics - Level 9

Technological University of The Shannon
Ireland
09-2023

Master of Science in Statistics -

Kannur University
India
05-2020

Bachelor of Science in Statistics -

Kannur University
India
05-2017

Skills

  • Statistical Analysis
  • Tableau : Data visualization and presentation
  • Power BI : Data visualization and presentation
  • Microsoft Excel (VLOOKUP, HLOOKUP, Conditional Formatting, Pivot Tables)
  • Predictive analysis : Machine learning
  • Analytical Tools : SPSS, Data Robot and Rapidminer
  • SQL (PostgreSQL, MySQL)
  • Python (Pandas, NumPy, Matplotlib)
  • R programming (dplyr, ggplot, tidyr)
  • Data Mining

Certification

  • Certificate Program in Data Science, BI and Analytics - Introtallent.
  • Crash Course on Python.

Projects

BI Analytics Project On FMCG Data

  • Creating the detail project plan with milestones and timelines to achieve each of the milestones.
  • Worked on data collection, cleansing and preparation using microsoft excel.
  • Design and develop Tableau BI dashboard to show overall business performance of Global Superstore across geography.
  • Implemented filters by region, age, gender and income for data driven insights.
  • Customized the dashboard as per feedback.

Bank investment Prediction

  • Understanding the business problem of a banking client and defining the optimal solution using CRISP DM framework.
  • Getting data into Python, performing EDA to understand the data, cleansing the data, missing value treatment, outlier’s treatment, dummy creation, sampling the training and test data from the master data.
  • Used Logistic Regression algorithm to predict the customers who are higher risk of defaulting the loan repayment.
  • Tested the model output with an accuracy of 86.2% (adjusted R squared)

Timeline

Data Analyst

Infosys
06.2021 - 07.2022

Data Analyst

Orange Distribution
07.2020 - 06.2021

Data Analyst

Introtallent
07.2020 - 06.2021

Master of Science in Data Analytics - Level 9

Technological University of The Shannon

Master of Science in Statistics -

Kannur University

Bachelor of Science in Statistics -

Kannur University
VISHNU NARANTHATTA