Sahana Masimath

Data Analyst

Bengaluru, Karnataka, India 85 · Excellent

About

Computer Science Engineering graduate with hands-on data analytics experience gained through a 13-week internship. Skilled in Python, SQL, Excel, Power BI, Tableau, Pandas, NumPy, data cleaning, exploratory data analysis (EDA), dashboard development, and data visualization. Built a Netflix Content Analytics Dashboard and worked with structured datasets to generate data-driven insights. Strong analytical and problem-solving foundation; seeking entry-level Data Analyst, Junior Data Analyst, Business Analyst, BI Analyst, or Analytics roles.

Skills & Expertise (27)

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Dashboard Development Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Tableau Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Reporting Intermediate

7.0/10

Years Exp

Problem Solving Intermediate

7.0/10

Years Exp

Analytical Thinking Intermediate

7.0/10

Years Exp

KPI Analysis Intermediate

6.5/10

Years Exp

Jupyter Notebook Intermediate

6.5/10

Years Exp

Adaptability Intermediate

6.0/10

Years Exp

Time management Intermediate

6.0/10

Years Exp

Technical Documentation Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Anaconda Intermediate

6.0/10

Years Exp

JavaScript Beginner

5.0/10

Years Exp

CSS Beginner

5.0/10

Years Exp

HTML Beginner

5.0/10

Years Exp

Full Stack Development Beginner

4.5/10

Years Exp

MVVM architecture Beginner

4.0/10

Years Exp

Android Beginner

4.0/10

Years Exp

Work Experience

Data Analytics Intern

KodNest Technologies

Present - Present

Completed a 13-week internship covering the full data analytics pipeline — data preparation, cleaning, analysis, visualization, and dashboard development. Cleaned, transformed, and analyzed datasets using Python, Pandas, NumPy, Matplotlib, and Seaborn to identify trends, patterns, and actionable insights. Used SQL to query and analyze structured datasets and support data-driven reporting. Developed the Netflix Content Analytics Dashboard and presented analytical findings through clear visualizations and dashboards. Applied Excel and Power BI/Tableau skills for data analysis, reporting, dashboarding, and business-oriented insights.