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Data Science with less than a year in AI and data-driven solutions, specializing in Python, SQL, and
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Data analytics student with real delivery experience automated reporting pipelines, built KPI dashboards used by management teams, and surfaced supply-chain risks that shaped decisions for 3 NGOs. Comfortable with SQL, Python, and Power BI. Looking to bring that same results-first approach to a business-facing analytics team.
GITAM Deemed University
B.Tech · Computer Science & Engineering (Data Science Specialisation)
August 1, 2022 – June 30, 2026
Brainovision Solutions India Pvt. Ltd.
Data & AI Intern
May 1, 2025 – July 1, 2025
India
Crop Recommendation System
June 1, 2026 – Present
94% accurate classifier trained on 8,000+ merged soil and rainfall records deployed as a web app so farmers could get crop suggestions without knowing anything about machine learning. Ran the full pipeline as a 2-person team: sourced 2 Kaggle datasets, cleaned and merged them, engineered features, trained the model, and shipped the interface.
Power BI KPI Dashboard
June 1, 2026 – Present
Solved a real business problem: management was spending time chasing data for monthly reviews. Built a 6-chart Power BI dashboard pulling from 3 sources that cut those ad-hoc requests by ~30%. DAX measures for revenue, churn, and retention with region and time-period drill-down 5-person team went from manually pulling numbers to self-serve in one dashboard.
View ProjectFood Wastage Prediction
June 1, 2026 – Present
98.8% accuracy (Random Forest, cross-validated) flagged high-wastage periods 2 weeks ahead, giving stakeholders time to act rather than react. Queried and cleaned 50,000+ rows of restaurant and demographic data using SQL and pandas across 3 reporting cycles; handled nulls, outliers, and feature selection before a single model was trained. Presented seasonal trend findings across 3 review cycles built visualisations that made the patterns readable without a stats background.
Everyday Excel
Coursera
June 1, 2026 – Present
Data Visualisation
Forage
June 1, 2026 – Present
Python Essentials
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a results-first approach and a focus on solving real business problems, which aligns well with a practical, impact-driven culture. The academic projects and internship indicate a proactive learning attitude and a willingness to work in teams. The objective statement explicitly mentions bringing a 'results-first approach to a business-facing analytics team', suggesting a good cultural alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, cross-functional collaboration, and stakeholder communication skills through project descriptions. The ability to present findings without a statistical background indicates good communication of complex ideas. The internship experience shows an operational fit for data-driven decision-making.