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Data Analyst with less than a year in Python, SQL & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a B.Tech in Artificial Intelligence and Data Science, proficient in Python, SQL, Power BI, Excel and Machine Learning. Skilled in data cleaning, EDA, data visualization, and dashboard development to derive actionable insights for business decision-making.
S.B. Jain Institute of Technology, Management & Research
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Aditva Technologies
Data Analyst Intern
December 1, 2024 – May 1, 2025
Nagpur, Maharashtra, India
PulseMap India Data Analysis
April 1, 2026 – May 1, 2026
Built a composite health risk score for 707 Indian districts using NFHS-5 government data, applying Min-Max normalization and K-Means clustering in Python and Scikit-learn to classify districts into 4 risk tiers. Designed a normalized SQLite database and wrote SQL queries using CTEs and window functions to rank districts by risk, identifying 77 critical-risk districts concentrated in Bihar, Odisha, and Chhattisgarh. Delivered a 5-page Streamlit web application, a Power BI dashboard, and a written analysis report covering methodology, findings, and business recommendations.
View ProjectDiamond Price Prediction System
January 1, 2026 – February 1, 2026
Built an end-to-end regression pipeline using Python, Scikit-learn, and Pandas trained on 193,573 records, achieving a 93.73% R² score, with a preprocessing pipeline using median imputation, ordinal encoding, and StandardScaler for 9 structured features. Built a 5-page Streamlit dashboard for real-time price prediction and What-If scenario testing, with Plotly visualizations for exploratory data analysis. Deployed on Streamlit Community Cloud and built a parallel Flask deployment, demonstrating end-to-end ML productionization across 2 frameworks.
View ProjectUdemy Course Data Analysis
July 1, 2025 – August 1, 2025
Performed EDA on 6,520 Udemy courses using Python and Pandas, identifying pricing trends, subscriber patterns, and growth from 2011 to 2020. Built a 4-page Streamlit dashboard with 15+ interactive Plotly charts covering category distribution, price analysis, and trend visualization, finding Business & Management led with 8.99M subscribers while Technology & Software dominated course count at 42.2%. Extended the analysis to Power BI, delivering the same insights across 2 BI tools and covering both Python-based and drag-and-drop analytics.
View ProjectCultural Fit Analysis
The candidate's academic projects show a strong initiative to apply learned skills to diverse datasets (health risk, diamond prices, course data). The internship experience, though short, indicates an ability to work in a professional setting and contribute to business objectives. The breadth of tools and frameworks used suggests adaptability and a willingness to learn, which are positive indicators for cultural fit. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess team cultural fit.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, data storytelling, attention to detail, team collaboration, and communication as soft skills. These are highly relevant for a Data Analyst role, indicating a good operational fit. The project descriptions demonstrate an ability to present findings and recommendations, which aligns with data storytelling.