Machine Learning Data Analyst

Chaitali Mali

Data Analyst

+91-726******* # Email ï Linkedin Ð Leetcode § Github l Portfolio _ Hackerrank Objective

Detail-oriented and analytical Computer Science graduate with hands-on experience in Machine Learning and Data Analysis projects. Skilled in Python, SQL, Excel, and Power BI. Seeking a challenging Data Analyst role to leverage technical skills, deliver actionable insights, and contribute to data-driven decision-making. Skills

Programming & Tools: AI, ML, Excel, Power BI, C++, Python, Mysql Machine Learning: Regression, Classification, Clustering, Forecasting models Data Handling:Data Cleaning, Data Visualization, Data Wrangling, ETL Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn Experience

Machine Learning Intern June 2025 – July 2025

CodeSoft (Remote)Link Tools Used: Python, Scikit-learn, Pandas

– Applied supervised and unsupervised machine learning algorithms to real-world datasets.

– Built and optimized models for classification, regression, and clustering problems.

– Developed projects such as Stock Price Prediction, Resume Screening using NLP, and Automatic Captioning for Videos.

– Gained hands-on experience with tools like Python, Pandas, Scikit-learn, and TensorFlow. Projects

Heart Disease Clinical Prediction Power BI, Microsoft Excel, Power Query Jan 2025 – Mar 2025

– Analysed patient health data to identify risk patterns. § Link

– Applied machine learning models to predict potential health issues.

– Created interactive visualizations for better decision-making by healthcare staff. SuperStorage Forecasting Project Python, Pandas, SQL, Excel Apr 2025 – Jun 2025

– Collected and cleaned sales data for inventory forecasting. § Link

– Implemented time series forecasting models to predict stock requirements.

– Reduced overstocking and understocking by providing accurate predictions. HR Data Analysis Project Python, Power BI, SQL, Excel, Matplotlib, Seaborn July 2025 - Aug 2025

– Analysed employee data to identify attrition patterns and retention strategies. § Link

– Built dashboards in Power BI for visualization of key HR metrics.

– Applied classification models to predict employee turnover. Coffee Sales Analysis Project Python, Pandas, SQL, Excel Aug 2025 – Sep 2025

– Analysed sales trends using Excel and Power BI dashboards. § Link

– Predicted sales using regression models and seasonal trend analysis. Certifications

• Data Analysis with Python – Coursera / Udemy.

• Power BI Essentials – Microsoft / Udemy

• Machine Learning A-Z – Udemy.

Achievements Extracurriculars

• Participated in Hackathons and Coding Competitions .

• Presented ML projects at college-level tech fests . Education

Bachelor of Engineering (B.E.) of Computer Science Graduated: 2025 Gangamai College of Engineering, Nagaon Grade: 8.13 CGPA Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon

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