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Data Science with 1+ years in Analytics & Machine Learning
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Data enthusiast with a solid foundation in Mathematics, Analytics, and Problem-Solving. Skilled in extracting insights from data and eager to contribute to data-driven decision-making in a collaborative and growth-focused environment.
Mumbai University
Masters of Science · Data Science
August 1, 2024 – June 30, 2026
Mumbai University
Bachelors of Science · Mathematics
August 1, 2021 – June 30, 2024
Contexio Company
Research Analyst
December 1, 2024 – Present
India
SQL Project: FABRICEDGE TEXTILES
June 1, 2026 – Present
Developed a comprehensive database solution for managing textile operations, enabling efficient data storage, retrieval, updates, and reporting. Designed optimized SQL queries for inventory tracking, order processing, and supplier management. Implemented relational schemas that improved data accuracy and reduced redundancy across business processes.
View ProjectML Project: NUTRITIONAL VALUE PREDICTION
June 1, 2026 – Present
Built a prediction model to estimate the nutritional composition of food items using data cleaning, feature engineering, and machine learning algorithms. Evaluated multiple models to identify the most accurate one, improving prediction reliability. Enhanced the dataset by handling missing values and outliers to improve model performance.
View ProjectPower BI Project: NUTRITIONAL VALUE REPORT
June 1, 2026 – Present
Created an interactive dashboard analysing nutritional insights from fast-food chains to support healthy dietary decisions. Applied data modelling, DAX calculations, and advanced visualization techniques for impactful storytelling. Enabled actionable insights by highlighting calorie contributions, ingredient patterns, and comparative metrics.
View ProjectData Analysis with Python: COUNTRIES OF THE WORLD
June 1, 2026 – Present
Performed an end-to-end analysis of global population, economy, and demographic patterns using Python libraries such as Numpy, Pandas, Matplotlib, and Seaborn. Cleaned and transformed data to extract meaningful patterns and visualized correlations across countries. Delivered insights into growth trends, GDP variations, and regional differences using statistical analysis.
View ProjectExcel Project: DATA SCIENCE SALARY TRENDS
June 1, 2026 – Present
Analyzed salary trends across industries and job roles using Excel functions like VLOOKUP, pivot tables, conditional formatting & charts. Identified salary growth patterns, correlations between skills and compensation, and regional comparisons. Designed a dynamic dashboard to visually present trends and support career insights.
View ProjectImage Processing Project: MUMBAI STREET FOOD IMAGE RECOGNITION
June 1, 2026 – Present
Developed a CNN-based image recognition system for classify six categories of Mumbai street food using transfer learning models such as MobileNetV2, VGG16, and ResNet50. Achieved high accuracy through data preprocessing, model evaluation & deployment using Streamlit.
View ProjectIBM certificate for Data Analysis with Python.
IBM
June 1, 2026 – Present
Certified for Data Science and Analytics with AI Course
IT Vedant Education Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering SQL, ML, Power BI, Python data analysis, Excel, and image processing, indicates a broad interest in data science domains. The current role as a Research Analyst at Contexio Company, involving data validation, cleaning, and analysis for e-commerce platforms, aligns well with a data-driven environment. The pursuit of a Master's in Data Science and various certifications further demonstrates a commitment to the field and a proactive learning attitude, which are positive indicators for cultural fit in a growth-focused team. However, the experience level is relatively junior, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, time management, and adaptability as soft skills. The experience description mentions collaboration with cross-functional teams and working closely with senior analysts, which aligns with team collaboration and continuous learning. The project descriptions indicate an ability to manage end-to-end analysis, suggesting some time management and adaptability. However, without direct assessment, the depth of these soft skills cannot be fully validated.