MONISH S

Data Analyst

Bangalore, India 0+ yrs exp 86 · Excellent

About

Data Analyst fresher with hands-on internship experience in data analysis, data cleaning, exploratory data analysis (EDA), ETL pipelines, and KPI dashboard development. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (Joins, CTEs, Window Functions, Stored Procedures), Power BI, Tableau, and Excel for transforming raw data into actionable business insights. Experienced in building data-driven solutions through academic projects and industry exposure, with a strong foundation in data visualization, statistical analysis, NLP, machine learning, and business intelligence. Familiar with cloud platforms including AWS, Azure, and GCP, and Big Data tools such as Apache Spark and Hadoop. A quick learner with strong problem-solving and critical thinking skills, eager to contribute analytical expertise and deliver impactful outcomes in a data-driven organization.

Skills & Expertise (49)

Pandas Intermediate

7.5/10

0.25

Years Exp

Python Intermediate

7.5/10

0.25

Years Exp

SQL Intermediate

7.5/10

0.25

Years Exp

Effective Communication Intermediate

7.0/10

0.25

Years Exp

Positive Attitude Intermediate

7.0/10

0.25

Years Exp

Adaptability Intermediate

7.0/10

0.25

Years Exp

Critical thinking Intermediate

7.0/10

0.25

Years Exp

Quick learner Intermediate

7.0/10

0.25

Years Exp

Problem Solving Intermediate

7.0/10

0.25

Years Exp

Data Cleaning Intermediate

7.0/10

0.25

Years Exp

Data Wrangling Intermediate

7.0/10

0.25

Years Exp

EDA Intermediate

7.0/10

0.25

Years Exp

Excel Intermediate

7.0/10

0.25

Years Exp

NumPy Intermediate

7.0/10

0.25

Years Exp

Matplotlib Intermediate

7.0/10

0.25

Years Exp

Joins Intermediate

7.0/10

0.25

Years Exp

Aggregations Intermediate

6.5/10

0.25

Years Exp

Seaborn Intermediate

6.5/10

0.25

Years Exp

Subqueries Intermediate

6.5/10

0.25

Years Exp

ETL Pipelines Intermediate

6.5/10

0.25

Years Exp

Statistical Analysis Intermediate

6.5/10

0.25

Years Exp

CTEs Intermediate

6.5/10

0.25

Years Exp

MySql Intermediate

6.5/10

0.25

Years Exp

Postgresql Intermediate

6.5/10

0.25

Years Exp

Tableau Intermediate

6.0/10

0.25

Years Exp

Jupyter Intermediate

6.0/10

0.25

Years Exp

Git Intermediate

6.0/10

0.25

Years Exp

SQLite Intermediate

6.0/10

0.25

Years Exp

Power BI Intermediate

6.0/10

0.25

Years Exp

Window Functions Intermediate

6.0/10

0.25

Years Exp

Feature Engineering Intermediate

6.0/10

0.25

Years Exp

MongoDb Intermediate

5.5/10

0.25

Years Exp

NLP Intermediate

5.5/10

0.25

Years Exp

Data Storytelling Intermediate

5.5/10

0.25

Years Exp

Model Evaluation Intermediate

5.5/10

0.25

Years Exp

Clustering Intermediate

5.5/10

0.25

Years Exp

Classification Intermediate

5.5/10

0.25

Years Exp

Regression Intermediate

5.5/10

0.25

Years Exp

TF-IDF Intermediate

5.0/10

0.25

Years Exp

scikit-learn Intermediate

5.0/10

0.25

Years Exp

Hadoop Intermediate

5.0/10

0.25

Years Exp

Apache Spark Intermediate

5.0/10

0.25

Years Exp

FastAPI Intermediate

5.0/10

0.25

Years Exp

GCP Intermediate

5.0/10

0.25

Years Exp

Azure Intermediate

5.0/10

0.25

Years Exp

AWS Intermediate

5.0/10

0.25

Years Exp

Stored Procedures Views Indexes

Work Experience

Data Analyst Intern

T4TEQ Software Solutions

Aug 2024 - Nov 2024

Collected, cleaned, and wrangled large structured and unstructured business datasets using Python (Pandas, NumPy) and Excel — improving data quality and reliability for downstream analysis and reporting. Conducted in-depth EDA on sales, customer, and operational datasets to identify key trends, outliers, and business patterns that directly informed management decisions. Designed and delivered interactive KPI dashboards and visualizations using Excel and Python (Matplotlib, Seaborn), enabling real-time performance tracking across departments. Wrote complex SQL queries (Joins, CTEs, Window Functions, Aggregations) for data extraction and transformation; contributed to ETL workflows to load data from multiple sources into reporting databases. Performed statistical analysis including descriptive statistics, trend analysis, and correlation studies to validate business hypotheses and surface actionable insights.