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

5
5
years of professional experience
1
1
Certification

Work History

Data Analyst

Infosys
, India
06.2021 - 07.2022
  • Developed dashboards and reports with Tableau to monitor sales and marketing KPI's for an American jewellery client.
  • 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.
  • Analyzed large datasets to identify trends, patterns, and correlations for business insights.
  • Provided data-driven solutions to support decision-making.
  • Leveraged SQL queries to extract, transform and load data into databases.

Data Analyst

Introtallent
, India
07.2020 - 06.2021
  • Conducted in-depth analysis of financial data to support strategic decision-making and improve financial performance.
  • Developed and maintained financial dashboards and reports to monitor key performance indicators and track financial metrics.
  • Presented findings and recommendations to senior management, enabling data-driven decision-making and driving business growth.
  • Analyzed healthcare data to identify trends, patterns, and anomalies using Python.
  • Created the healthcare database using SQL and maintained the healthcare data for data analysis.

Data Analyst

Orange Distribution
, India
06.2017 - 06.2018
  • Conducted comprehensive analysis of sales and marketing data to optimize inventory management and enhance product performance in the retail FMCG sector.
  • 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 tables for comprehensive data analysis.
  • Generated reports and obtained data to develop analytics on key performance indicators.

Education

Master of Science - Data Analytics

Technological University of The Shannon
Ireland
09-2023

Master of Science - Statistics

Kannur Univeristy
India
05-2020

Bachelor of Science - Statistics

Kannur University
India
05-2017

Skills

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

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

Introtallent
07.2020 - 06.2021

Data Analyst

Orange Distribution
06.2017 - 06.2018

Master of Science - Data Analytics

Technological University of The Shannon

Master of Science - Statistics

Kannur Univeristy

Bachelor of Science - Statistics

Kannur University
VISHNU NARANTHATTA