Akshay Pande Pande

Data Analyst/Data Scientist

Navi Mumbai, Maharashtra 80 · Excellent

About

Data Analytics and Data Science professional with hands-on experience in Python, SQL, Machine Learning, Big Data technologies, and Business Intelligence. Skilled in data analysis, predictive modeling, EDA, dashboard development, and scalable data processing using PySpark. Seeking an entry-level Data Analyst/Data Scientist role to deliver data-driven insights and business solutions.

Skills & Expertise (28)

SQL Advanced

8.0/10

0.5

Years Exp

Python Advanced

8.0/10

0.5

Years Exp

Excel Advanced

8.0/10

0.5

Years Exp

Power BI Advanced

8.0/10

0.5

Years Exp

Pandas Advanced

8.0/10

0.5

Years Exp

NumPy Advanced

8.0/10

0.5

Years Exp

Machine Learning Intermediate

7.5/10

0.5

Years Exp

scikit-learn Intermediate

7.5/10

0.5

Years Exp

GitHub Intermediate

7.0/10

0.5

Years Exp

Git Intermediate

7.0/10

0.5

Years Exp

Postgresql Intermediate

7.0/10

0.5

Years Exp

MySql Intermediate

7.0/10

0.5

Years Exp

Seaborn Intermediate

7.0/10

0.5

Years Exp

Matplotlib Intermediate

7.0/10

0.5

Years Exp

Feature Engineering Intermediate

7.0/10

0.5

Years Exp

EDA Intermediate

7.0/10

0.5

Years Exp

Model Evaluation Intermediate

6.5/10

0.5

Years Exp

Tableau Intermediate

6.5/10

0.5

Years Exp

NLP Intermediate

6.5/10

0.5

Years Exp

TensorFlow Intermediate

6.0/10

0.5

Years Exp

Statistical Analysis Intermediate

6.0/10

0.5

Years Exp

Apache Spark Intermediate

6.0/10

0.5

Years Exp

Spark SQL Intermediate

6.0/10

0.5

Years Exp

Classification Intermediate

6.0/10

0.5

Years Exp

AWS EC2 Intermediate

6.0/10

0.5

Years Exp

Regression Intermediate

6.0/10

0.5

Years Exp

Hive Intermediate

5.5/10

0.5

Years Exp

Streamlit Intermediate

5.5/10

0.5

Years Exp

Work Experience

Data Science Intern

Amdox Technologies

Jan 2026 - Jan 2026

Cleaned and analyzed over 50,000 structured business records using Python and SQL to eliminate data discrepancies and establish a highly reliable foundation for downstream analytical models. Executed thorough exploratory data analysis (EDA), preprocessing, and feature engineering across multiple enterprise datasets to isolate critical predictive variables and improve final model training efficiency. Designed and deployed 4 interactive Power BI dashboards for business reporting, delivering real-time metric tracking that enabled stakeholders to make faster, data-backed operational decisions. Evaluated and applied machine learning models for predictive analytics, tracking key performance metrics to deliver actionable business forecasts and mitigate organizational risks.