Data Science with less than a year in Data Science and expertise in Machine Learning & AI solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with a Diploma in Data Science from IIT Madras, experienced in machine learning, time-series forecasting, business analytics, and applied AI systems. Strong hands-on background in building end-to-end ML pipelines on real-world datasets and deploying production-ready AI solutions.
Indian Institute of Technology Madras
Diploma · Data Science
N/A – June 30, 2025
GLS University, Ahmedabad
Bachelor of Computer Applications (BCA)
N/A – June 30, 2023
Healthcare Data Analytics
June 1, 2026 – Present
Analyzed 9,300+ real patient records from a primary healthcare clinic. Performed EDA to identify peak appointment hours and chronic disease patterns. Applied K-Means clustering to segment clinic days by patient load. Built an ARIMA (1,1,1) model for revenue forecasting and anomaly detection.
Cinema Audience Forecasting
June 1, 2026 – Present
Built a forecasting pipeline using 200K+ records across cinema locations. Engineered lag (7/14/28 days) and rolling features to capture demand trends. Trained and selected LightGBM using time-based validation.
Hotel Booking Cancellation Prediction
June 1, 2026 – Present
Developed a classification system on 29,500+ records. Engineered behavioral and pricing features; achieved 88% accuracy.
Virtual Teaching Assistant
June 1, 2026 – Present
Built a RAG pipeline using embeddings and semantic search. Developed and deployed a FastAPI backend for real-world usage.
Architecting with Google Compute Engine
Google Cloud
June 1, 2026 – Present
Shaastra Programming Contest
IIT Madras
June 1, 2026 – Present
SSIP Hackathon
Government of Gujarat
June 1, 2026 – Present
Code Express (MongoDB)
Winner
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background from IIT Madras and participation in hackathons and programming contests suggest a drive for continuous learning and a competitive spirit. The diverse range of data science projects (healthcare, cinema, hotel, virtual assistant) indicates adaptability and a broad interest in applying data science to different domains. However, the lack of professional experience means cultural fit in a corporate environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems independently and apply various analytical and machine learning techniques. The academic nature of all projects suggests a strong learning aptitude and problem-solving skills within structured environments. However, there is no direct evidence of collaboration, leadership, or communication in a professional team setting.