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Santosh M

Santosh M

Data Analyst

80
Profile Score

About

Entry-level Data Analyst with hands-on project experience in financial and data analytics. Experienced in transforming raw datasets into actionable insights using Python, SQL, Excel, and Power BI through data cleaning, exploratory analysis, KPI reporting, and dashboard development. Strong focus on translating analytical findings into business-relevant decisions.

Skills & Expertise (29)

Python Advanced
8.3/10
1
Years Exp
SQL (MySQL) Advanced
7.9/10
1
Years Exp
Pandas Advanced
7.7/10
1
Years Exp
Statistical Analysis Jupyter Notebook GitHub Git VLOOKUP XLOOKUP Power Query Pivot Tables Excel Seaborn Matplotlib DAX (Basic) Power BI NumPy Requirement gathering Exploratory Data Analysis (EDA) Data Cleaning Jira Sprint planning Agile/Scrum stakeholder communication Business Reporting KPI Tracking User Stories Functional Requirement Document (FRD) Business Requirement Document (BRD)

Work Experience

Data Analyst – Project-Based Experience

Innomatics Research Labs

Aug 2025 - Present

Financial Risk Assessment Analysis: Data cleaning, transformation and analysis of 5,000+ financial records using Python and Pandas. Applied statistical imputation techniques to handle 12.4% missing values, improving the accuracy and completeness of the data set. 3.8% outliers were detected and treated in loan and asset variables to enhance data reliability. Conducted a correlation and risk analysis to identify relationships such as income - assets (0.72) and Credit score - loan amount (0.65) that support credit risk modeling. Energy Consumption Analysis: Data on energy consumption in 20+ countries analyzed using Python, SQL, and Excel. Evaluated electricity, oil, gas and coal usage that contributes to national energy profiles. Identified that top GDP countries contributed 60–70% of total global energy consumption. Observed that over 80% of emissions originated from non-renewable energy sources. Customer Churn Analysis: Analyzed customer behavior data containing 7,000+ records across billing and tenure features. Identified 25–30% higher churn among month-to-month customers compared to long-term contracts. Discovered that nearly 50% of churn occurred within the first 12 months. Estimated 20–25% potential revenue loss using KPI dashboards to support retention strategies.

Education

Master of Business Administration (Finance) - PSCMR College of Engineering and Technology

2023 - 2025 · Afghanistan

Bachelor of Business Administration (BBA) - Nalanda Degree College

2021 - 2023 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceFeb 2026

Availability Details

Visa Status

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Relocation

Open to Relocation

Skills (29)

Python SQL (MySQL) Pandas Statistical Analysis Jupyter Notebook GitHub Git VLOOKUP XLOOKUP Power Query +19 more