Data Analyst

Selmin Grahisha

Fresher

Passionate post-graduate statistician adept at turning data into actionable insights. Seeking to apply advanced analytical skills in a dynamic environment focused on driving innovation through data-driven strategies. Eager to collaborate with cross-functional teams to solve complex problems and contribute to meaningful projects that make a measurable impact. ******************@*****.*** 938-***-****

Kanyakumari linkedin.com/in/selmin-grahisha-510505273 EDUCATION

M.Sc Statistics (CGPA:8.0)

Loyola College

07/2022 - 04/2024, Chennai

Regression, Multivariate

Analysis, Time Series

Analysis, Data Visualization,

Machine Learning, Data

Mining Techniques,

Biostatistics

B.Sc Mathematics (CGPA:9.26)

Holy Cross College

07/2019 - 04/2022, Nagercoil

WORK EXPERIENCE-INTERNSHIPS

Data Analyst

Manolaya International Pvt ltd

05/2023 - 06/2023, Chennai

Successfully achieved the goals of the company by cleaning and pre- processing the large customer dataset over 1 lakh transaction and 4334 customer ID.

Scrutinized purchasing patterns and segmented customer base into 4 distinct groups; delivered an in-depth report that enhanced targeted marketing efforts, increasing customer retention by 20% and sales by 15%.

Achieved a 20% increase in sales for the organization and Awarded a accomplishment of certificates.

Data Analyst

Unified Mentor

05/2024 - 06/2024,

Heart Disease Diagnostic Analysis - Perform Exploratory Data Analysis (EDA) using Python to extract and analyze various information from the database.

Focus on identifying key metrics and factors, and illustrate the meaningful relationships between different attributes. FIFA World Cup Analysis - Analyze the World Cups dataset, which shows all information about all the World Cups in history, and the World Cup Matches dataset, which shows all the results from the matches contested as part of the cups.

Identify key metrics and factors that influence the World Cup win.

SKILLS

SPSS Python Power BI Mathlab SQL

SAS Excel Data Analysis

Data Visualization Statistical Analysis

PROJECTS

Factors affecting academic performance of students

(07/2023 - 09/2023)

Collected primary data through spreading the google forms through snow ball sampling and received 437 responses from our college students.

Deployed feature selection to strengthen the model and out of 19 features 15 were selected.

Executed a linear regression model to find the factors affecting student performance, and the model was successfully built with an accuracy of 87%.

Segmentation of Customers using RFMT model

(09/2023 - 11/2023)

Orchestrated the use of clustering techniques based on recency, frequency, monetary value and tenure of the customers to segment the customers into 4 categories by their purchasing pattern.

Optimized the offer strategy for 6723 customers across 4 different clusters to reduce offer wastage and enhance marketing campaigns for loyal customers.

Revealed the underlying pattern of 4 clusters into 3 different factors through factor analysis, and used these insights to help the shopkeeper with additional marketing strategies. Analysis on Churning of customers in Tele -

Communication - Supervised & Unsupervised

approach (01/2024 - 03/2024)

Integrated a SMOTE algorithm to balancing the binary outcome from (85% - 15%) to (50% - 50%).

Leveraged a statistical model and several Machine learning models for the 7246 datasets to compare their accuracies. Identified logistic regression as the best model for the dataset with an accuracy of 0.9456 and out performed ML models including Support Vector Machine, Naive Bayesian, Random forest, Boosting algorithms.

CERTIFICATES

SPSS (08/2024)

Udemy

Power BI for beginners (05/2024)

Simpli learn

MySql (06/2024)

Great Learning

Courses

Customer Analytics

Achievements/Tasks

Contact this candidate