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Data Analyst with 2+ years in data analytics and business performance analysis.
Results-driven Data Analyst with 2 years and 1 month of experience in data analytics and business performance analysis at Manappuram Finance Limited. Skilled in leveraging data to support product strategy, optimize loan schemes, and drive business growth. Experienced in Advanced Excel, Power BI (Basic), dashboard development, and data visualization. Proven ability to collaborate with cross-functional teams, generate actionable insights, and create impactful reports that enhance decision-making and improve organizational performance.
School of Mathematics and Statistics, Mahatma Gandhi University
Master of Science · Statistics
August 1, 2021 – June 30, 2023
Mar Sleeva College of Arts and Science, Murickassery
Bachelor of Science · Statistics
August 1, 2018 – June 30, 2021
St.George H S S, Vazhathope
Higher Secondary
June 1, 2016 – May 31, 2018
St.George H S, Vazhathope
SSLC
June 1, 2016 – May 31, 2016
Manappuram Finance limited India
Data Analyst
June 1, 2026 – Present
India
Manappuram Finance limited India
Deputy Manager-Product GL
February 1, 2025 – April 23, 2026
India
Manappuram Finance limited India
Deputy Manager-Analytics and Business Review
April 1, 2024 – February 1, 2025
India
Heart Disease Prediction Using Logistic Regression
June 1, 2026 – Present
The project contains a statistical analysis on the data related to the patients who is affected with heart disease. To analyse this, Stepwise logistic regression is used. The data analysis was done by using R.
Analysis and Prediction of water quality using machine learning models
June 1, 2026 – Present
The projects aims on finding the best model for the prediction of water quality.
Introduction To R Software
IIT Kanpur
June 1, 2026 – Present
Python For Data Science
IIT Madras
June 1, 2026 – Present
Introduction To Microsoft Excel
Coursera
June 1, 2026 – Present
Introduction To Business Analysis Using Spreadsheet: Basics
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in applying statistical and machine learning models to real-world problems (heart disease prediction, water quality). Their professional experience in a finance company, Manappuram Finance, indicates adaptability to a corporate environment. The breadth of skills listed (Python, R, SQL, Power BI, Machine Learning) and certifications suggest a proactive approach to learning and skill development, which aligns with a culture of continuous improvement. The role as a Student Organizing Committee Member also indicates engagement and teamwork.
Soft Skills & Operational Fit
The candidate demonstrates experience in team collaboration through project work and mentions leadership and communication skills. Their experience in tracking KPIs and generating reports indicates an operational fit for roles requiring meticulous data management and reporting. The academic background in statistics suggests a strong foundation for analytical thinking and problem-solving.