Sanjana Mudaliar

Data Science Analyst

Ahmedabad 1+ yrs exp 83 · Excellent

About

Data Science Analyst with a Masterʼs degree in Applied/Industrial Mathematics and experience in data analysis, machine learning, and statistics. Skilled in Python, with basic knowledge of SQL and Power BI. Proficient in data preprocessing, exploratory data analysis (EDA), feature engineering, predictive modeling, model evaluation, and data visualization. Seeking opportunities to apply analytical and machine learning skills to solve real-world problems and support data-driven decision-making.

Skills & Expertise (19)

Machine Learning Advanced

9.0/10

Years Exp

Python Advanced

9.0/10

Years Exp

Model Evaluation Advanced

9.0/10

Years Exp

Predictive Modeling Advanced

9.0/10

Years Exp

Feature Engineering Advanced

9.0/10

Years Exp

Statistical Analysis Advanced

9.0/10

Years Exp

SQL Advanced

8.5/10

Years Exp

Data Visualization Advanced

8.5/10

Years Exp

EDA Advanced

8.5/10

Years Exp

Research methods Advanced

8.0/10

Years Exp

Communication Advanced

8.0/10

Years Exp

Problem-solving Advanced

8.0/10

Years Exp

Analytical Thinking Advanced

8.0/10

Years Exp

MS Excel Advanced

8.0/10

Years Exp

Creativity Intermediate

7.5/10

Years Exp

Adaptability Intermediate

7.5/10

Years Exp

Time management Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Team Work

Work Experience

Jr.Data Science Analyst

KALI MEDTECH Pvt.ltd

Jul 2025 - Present

Prepared, cleaned, and analyzed datasets for machine learning and data analysis projects. Trained and evaluated deep learning models for ECG signal extraction and analysis. Performed feature extraction, statistical analysis, and pattern identification on ECG and PPG data. Developed analytical tools for ECG waveform analysis, ST-segment detection, and beat pattern matching. Built and evaluated machine learning models for blood pressure prediction using PPG-derived features. Developed an HCM analysis project using statistical methods to analyze ECG features, including PQRST intervals and arrhythmia-related patterns. Created reports and visualizations to communicate findings and support decision-making. Experienced in ECG signal analysis, using statistical methods to analyze ECG data and identify abnormal findings.