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Data Analyst with 1+ years in Machine Learning & Data Visualization
Detail-oriented Data Analyst and Master's student in Data Science and Big Data Analytics with hands-on experience in data cleaning, visualization, machine learning, and predictive analytics. Proficient in Python, SQL, Power BI, and Streamlit, with experience working on real-world datasets to build dashboards, clustering models, and healthcare analytics solutions. Strong foundation in exploratory data analysis, business intelligence, and machine learning techniques including PCA, clustering, and classification. Actively seeking Data Analyst, Business Intelligence, or Machine Learning roles.
B K Birla College
MSc · Data Science and Big Data Analytics
August 1, 2024 – June 30, 2026
Mumbai University
BSc · Computer Science
August 1, 2021 – June 30, 2024
Hill Spring College
HSC
June 1, 2019 – May 31, 2021
Rita Memorial School
SSC
June 1, 2007 – May 31, 2019
Yuvalntern
Junior Data Analyst - Agribusiness Virtual Intern
April 20, 2025 – May 25, 2025
India
PCOS Subtype Discovery using Unsupervised Machine Learning
June 18, 2026 – Present
Developed a Machine Learning-based healthcare analytics system to identify hidden PCOS subtypes using clinical and biochemical patient data. Applied PCA for dimensionality reduction and K-Means clustering for subtype discovery. Identified two major subtypes: Lean PCOS and Metabolic PCOS. Evaluated clustering quality using Silhouette Score and visualization techniques. Built an interactive Streamlit application for real-time subtype prediction and patient data analysis.
View ProjectSales & Operational Performance Dashboard
June 18, 2026 – Present
Cleaned and transformed raw Superstore sales data using Power Query by handling missing values, removing duplicates, correcting data types, and standardizing categorical fields. Performed feature engineering by creating time-based attributes (Order Year, Order Month) and operational metrics such as Shipping Delay (Days). Developed DAX measures for key KPIs including Total Sales, Total Orders, Average Order Value, Total Customers, and Average Shipping Delay. Designed an interactive Power BI dashboard with KPI cards, sales trend analysis, category-wise comparisons, top product analysis, and slicers for region, category, year, and ship mode. Delivered actionable insights on sales performance, customer behavior, and shipping efficiency.
View ProjectSubtype Discovery in PCOS Patients: An Unsupervised Learning and Explainability Approach
Journal of Advanced Multidisciplinary Research Studies and Development (JAMRSD)
January 1, 2026 – Present
Data Analytics Job Simulation – Deloitte
Deloitte (Forage)
December 1, 2025 – Present
Deep Learning Certificate
L&T EduTech
July 1, 2025 – Present
Data Science Training Certificate
Internshala
May 1, 2025 – Present
Machine Learning Certificate
L&T EduTech
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in both business intelligence and machine learning applications, which aligns well with a dynamic data-driven environment. The diversity of projects (healthcare analytics, sales performance) indicates adaptability and a broad interest in applying data analysis across different domains. The pursuit of a Master's degree and multiple certifications suggests a proactive and growth-oriented mindset, which is a good cultural fit for organizations valuing continuous learning and self-improvement. The virtual internship, though short, shows an initiative to gain practical experience.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail and pattern recognition through their interest in Mandala Art. Their interest in dance suggests discipline and consistency, while reading indicates a continuous learning mindset. These traits are beneficial for a data analyst role requiring meticulous data handling and continuous skill development. The project descriptions are clear and well-structured, indicating good communication skills in a technical context.