Machine Learning Data Analyst

Nehil Vinayak Bhalerao

Sathe Colony, Chinchwade Nagar, Chinchwad Gaon, Pune-33

***************@*****.*** +91-928******* Professional Summary

Detail-oriented Data Analyst with strong skills in Python, SQL, and Excel for data cleaning, analysis, and visualization. Experienced in building dashboards, forecasting models, and machine learning projects to derive actionable insights. Mechanical Engineering graduate with analytical problem-solving skills, transitioning into data analytics with a focus on business insights, financial data, and predictive modeling. Technical Skills

- Data Analysis & Visualization: Python (Pandas, NumPy, Matplotlib), SQL, Excel (Advanced Functions, Pivot Tables), PowerPoint

- Business Intelligence Tools: Power BI / Tableau (exposure)

- Machine Learning: Scikit-learn (Regression, Classification, Forecasting)

- Other Software: CATIA, ANSYS (engineering tools – optional) Projects

1. Insurance Customer Response Prediction

Built and evaluated machine learning models (Random Forest, Logistic Regression, Decision Tree) to predict customer responses to insurance offers using a 381,109- record dataset; achieved 90% accuracy and 0.97 ROC AUC with Random Forest after hyperparameter tuning.

Performed EDA and preprocessing, addressing class imbalance with SMOTE and encoding categorical features; visualized insights via histograms and correlation matrices to guide feature selection.

Technologies: Python (Pandas, Scikit-learn, Matplotlib, Seaborn), Jupyter Notebook, SMOTE.

2. Interactive Sales Forecasting Dashboard

Built an interactive Excel/Python dashboard to analyze and forecast sales trends.

Automated data cleaning and visualization processes using Pandas and Matplotlib.

Improved forecasting accuracy and provided actionable insights for decision- making.

3. Electricity Cost Prediction Using Machine Learning

Collected and preprocessed electricity consumption datasets.

Applied regression models to predict costs based on usage and seasonal patterns.

Delivered a model with strong predictive accuracy, enabling cost-saving insights. 4. Arduino-Based Object Detection System

Designed an object detection system integrating ultrasonic sensors and machine learning for real-time tracking.

Applied supervised learning algorithms to improve object identification accuracy. Education

Savitribai Phule Pune University, PCCOE – Pune, India Bachelor of Technology in Mechanical Engineering CGPA: 7.02 Maharashtra State Board – Pune, India

12th (PCM) – 60% 10th – 71%

Internship & Experience

Preetson Engineering – Intern (Feb 2023 – April 2023) Gained experience with industrial visualization and measurement processes. Learned best practices in quality control and reporting.

Team Eminent Racing – Member (Aug 2023 – July 2024) Worked on simulation and data-driven calculations for vehicle dynamics. Applied analytical models (bicycle model, cornering stiffness) to optimize design. Interests

- Stock Market & Financial Analytics: Actively trade and analyze stock market trends.

- Continuous learning in data science, financial analytics, and visualization tools.

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