Akash Kangule

Data Analyst / Data Scientist

Pune, India 2+ yrs exp 86 · Excellent

About

Results-driven Data Science and Engineering student with hands-on experience in building scalable machine learning solutions and optimizing business processes using data-driven insights. Proficient in Python, SQL, statistical analysis, and predictive modeling. Demonstrated success in improving operational efficiency by 10–15% in manufacturing environments and delivering high-performance ML models with strong evaluation metrics. Seeking entry-level Data Analyst / Data Scientist roles.

Skills & Expertise (43)

Python Advanced

8.4/10

Years Exp

Pandas Advanced

8.2/10

Years Exp

SQL Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

Data Preprocessing Advanced

7.8/10

Years Exp

Data Cleaning Advanced

7.8/10

Years Exp

Model Evaluation Intermediate

7.5/10

Years Exp

Feature Engineering Intermediate

7.5/10

Years Exp

Model Deployment Intermediate

7.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Data Pipelines Keras Random Forest XGBoost Business Analytics FastAPI Docker MLflow REST API development Docker Hub SMOTE LightGBM Artificial Neural Networks Convolutional Neural Network TensorFlow Cross Validation EDA Statistical Testing T-test Chi-square ANOVA Regression Classification Ensemble Models Hyperparameter Tuning scikit-learn Git MySql Postgresql Streamlit Selenium Model Optimization

Work Experience

Data Science Intern

Clinch Soft Technologies

Apr 2026 - May 2026

Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python (Pandas, NumPy). Designed and executed SQL queries for data extraction, transformation, and analysis. Supported model development by preparing high-quality datasets and feature engineering.

Line Engineer

Bajaj Auto Pvt Ltd

Aug 2019 - May 2022

Analyzed high-volume production data (400–600 units/day) to track KPIs and improve manufacturing efficiency. Identified production bottlenecks and reduced downtime by 10–15% using root cause analysis. Developed performance dashboards and reports to support data-driven decision-making. Collaborated with cross-functional teams to execute process improvements and increase productivity.