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
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