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Data Science with less than a year in AI, ML, and Cloud Technologies.
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Assessing your cultural and operational fit
Highly motivated and results-driven Data Science student pursuing a Master's degree, with a Bachelor's in Computer Science. Possesses practical experience in cloud administration, machine learning, and data analytics through an internship and multiple academic projects. Proficient in Python, SQL, AWS, and various ML/AI frameworks, demonstrating strong problem-solving and analytical skills to drive data-driven decisions and build innovative solutions.
Nilkamal School of Mathematics, Applied Statistics and Analytics, SVKM's NMIMS, Mumbai
Master of Science · Data Science
August 1, 2024 – June 30, 2026
Vivekanand Education Society Of Arts Science And Commerce
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
Smt. Chandibai Himathmal Mansukhani College
Higher Secondary
June 1, 2021 – May 31, 2021
Sacred Heart School
Secondary School
June 1, 2019 – May 31, 2019
IFuture Technologies Pvt. Ltd.
Cloud Intern
May 1, 2023 – June 1, 2023
India
Customer Intelligence & Decision Support System
January 1, 2026 – Present
Built an end-to-end Customer Intelligence & Decision Support System on ~3,900+ transactions using RFM analysis and K-Means clustering to identify high-value customer segments. Developed customer churn prediction and recommendation models to support personalization and data-driven business decisions. Deployed a full-stack analytics solution using React.js, Flask, and Node.js with interactive dashboards, real-time reporting, and business insights visualization.
ProtoByte - Smart Bytes for Better Bites
January 1, 2025 – Present
Built a full-stack AI nutrition platform using TensorFlow, FAISS, and LLaMA 3.1 for image-based macro detection, smart ingredient substitution, and RAG-based recipe recommendations from 50,000+ food images. Integrated React, Node.js, and MySQL to deploy real-time food analysis, personalized grocery lists, and a voice-enabled chatbot. Enhanced user engagement by 65% and improved nutrient estimation accuracy by 28%, delivering an intelligent nutrition tracking experience.
Visa Approval Prediction using Automated ML Pipeline
January 1, 2025 – Present
Developed an end-to-end Visa Approval Prediction ML pipeline on ~712K records using CI/CD and MLflow, achieving ~0.99 weighted F1-score. Trained and compared Random Forest, LightGBM, XGBoost, and Logistic Regression, with feature engineering reducing dimensions from 96 to ~18. Used Git for version control, MLflow for tracking, and Docker for deployment, ensuring scalability and reproducibility.
Healthcare Analysis
January 1, 2024 – Present
Analyzed 10,000+ healthcare records to uncover trends in operational performance, resource utilization, and efficiency optimization. Built interactive Power BI dashboards and performed data transformation using Python (Pandas) and DAX, enabling real-time KPI monitoring and business insights. Enhanced decision-making and resource utilization by 30%+ through data-driven insights.
Deloitte Australia Data Analytics Job Simulation
Forage
January 1, 2025 – Present
SQL (Basic)
Hackerrank
January 1, 2025 – Present
GenAI Powered Data Analytics
Forage
January 1, 2025 – Present
Event Head – VESCON
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying data science to diverse domains like customer intelligence, nutrition, visa prediction, and healthcare. This breadth of interest and willingness to tackle varied problems suggests a good cultural fit for an innovative and dynamic data science team. The 'Cloud Intern' experience also shows an interest in infrastructure, which can be valuable for MLOps aspects of data science. The academic nature of all projects, however, means real-world business constraints and team collaboration in a corporate setting are less proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The 'Event Head' certification implies leadership and organizational skills. The academic projects show a proactive approach to learning and applying new technologies. However, without direct behavioral assessment, specific soft skills like teamwork, communication, and adaptability are inferred rather than proven.