Manisha Chand

Data Analyst

Hyderabad, India 1+ yrs exp 82 · Excellent

About

Data Analyst with over one year of IT experience analyzing datasets to deliver actionable reports and strategic recommendations. Expert in Power BI, Python, BigQuery, SQL, Pandas, and NumPy for advanced analytical reporting and dashboard development. Proven expertise in cloud ETL pipeline development, business intelligence reporting, marketing analytics, forecasting, and insight-driven decision support using AWS, SQL, Python, and Power BI. Skilled at streamlining reporting workflows, visualizing key metrics, and leading cross-functional business teams to drive data-informed decisions.

Skills & Expertise (29)

Power BI Intermediate

7.5/10

Years Exp

Amazon S3 Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Amazon Redshift Intermediate

7.0/10

Years Exp

AWS Glue Intermediate

7.0/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

Python Intermediate

7.0/10

Years Exp

Microsoft Excel Intermediate

7.0/10

Years Exp

Google BigQuery Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Amazon Athena Intermediate

6.5/10

Years Exp

Apache Airflow Intermediate

6.5/10

Years Exp

Postgresql Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

DAX Intermediate

6.0/10

Years Exp

AWS EC2 Beginner

5.5/10

Years Exp

PySpark Beginner

5.5/10

Years Exp

scikit-learn Beginner

5.5/10

Years Exp

Matplotlib Beginner

5.5/10

Years Exp

Seaborn Beginner

5.0/10

Years Exp

Streamlit Beginner

5.0/10

Years Exp

Time Series Forecasting Beginner

5.0/10

Years Exp

K-Means Beginner

5.0/10

Years Exp

Logistic Regression Beginner

5.0/10

Years Exp

Random Forest Beginner

5.0/10

Years Exp

Unsupervised Learning Beginner

5.0/10

Years Exp

Supervised Learning Beginner

5.0/10

Years Exp

Prophet Beginner

4.5/10

Years Exp

Work Experience

Junior Software Engineer – Data & Analytics

Tutorials Point Pvt Ltd

Jan 2025 - Mar 2026

Architected and deployed an end-to-end cloud ETL data pipeline on AWS using Amazon S3, AWS Glue (Crawler + Visual ETL Job), and Redshift to ingest, transform, and load datasets, resulting in a reduction of manual reporting effort by approximately 40%. Engineered an Apache Airflow DAG to coordinate the weekly EdTech data pipeline using AWS Glue and Amazon Redshift, ensuring 100% scheduled and fully orchestrated data loading without manual intervention. Delivered 25+ optimized SQL queries across Redshift and Athena for critical KPI tracking and serverless on-demand data analyses, supporting accurate and scalable reporting for leadership teams. Built and published a multi-page Power BI dashboard connected live to Amazon Redshift via JDBC, implementing role-based data segmentation and 20+ DAX measures for real-time KPI tracking across student dropout risk, course revenue, and cohort retention, reducing unplanned reporting requests by 30% and improving overall team efficiency. Spearheaded cohort-based dropout analysis on Redshift using SQL and Python (Pandas, NumPy), identifying high-risk dropout segments and delivering structured findings with actionable recommendations to improve student retention rates.