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Data Analyst with 1+ years in Data Analytics & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and highly motivated individual with strong interest in Data Analytics and Data-Driven Decision Making. Proficient in SQL, Python, Advanced Excel, NumPy, Pandas, and Power BI for data extraction, cleaning, analysis, and visualization. Strong problem-solving and analytical skills with the ability to interpret complex datasets and generate meaningful insights. Eager to contribute to a growth-oriented organization as a Data Analyst and apply technical skills to support business intelligence and decision-making processes.
Savitribai Phule Pune University
Master of Computer Applications
August 1, 2024 – June 30, 2026
Savitribai Phule Pune University
Bachelor of Science (B.Sc.) · Biotechnology
August 1, 2021 – June 30, 2024
Maharashtra State Board
Higher Secondary Certificate (HSC)
June 1, 2020 – May 31, 2021
Maharashtra State Board
Secondary School Certificate (SSC)
June 1, 2018 – May 31, 2019
Intelli Health – AI-Based Health Risk Prediction System
December 1, 2025 – March 31, 2026
Developed a data-driven healthcare system using Python and Machine Learning concepts. Utilized synthetic dataset for training and testing the model. Performed data preprocessing and Exploratory Data Analysis (EDA) on health and lifestyle data. Applied basic ML models such as Logistic Regression / Decision Tree using Scikit-learn. Built prediction logic to estimate health risk based on user input parameters. Aimed to support preventive healthcare using data analytics and machine learning techniques.
Hotel Booking Data Analysis (EDA using Python)
April 1, 2025 – May 31, 2025
Performed Exploratory Data Analysis (EDA) on hotel booking dataset using Python (Pandas, NumPy, Matplotlib, Seaborn). Cleaned and pre-processed raw dataset by handling missing values and data inconsistencies. Analyzed booking patterns, cancellation trends, and customer behavior insights. Created visualizations to understand relationships between variables such as booking type, seasonality, and customer preferences. Derived meaningful insights to support business decision-making in the hospitality domain. Implemented the project in Google Colab compatible using Python data analysis library.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data analysis to diverse domains like healthcare and hospitality, indicating adaptability. The pursuit of a Master's degree in Computer Applications while having a Bachelor's in Biotechnology shows a strong drive for continuous learning and a willingness to pivot and acquire new skills, which is a positive cultural indicator. The stated interests in 'Continuous learning in Data Science and Analytics' further supports a growth-oriented mindset. However, the lack of professional experience limits the assessment of collaboration and team-oriented cultural fit.
Soft Skills & Operational Fit
The candidate's career summary highlights strong problem-solving and analytical skills, along with a detail-oriented and motivated approach. The project descriptions indicate an ability to interpret complex datasets and generate insights, which aligns well with the operational demands of a Data Analyst role. However, without direct work experience, the practical application of these soft skills in a professional setting is unvalidated.