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Data Analyst with less than a year in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with practical experience in SQL, Python, Power BI, Excel and Machine Learning. Skilled in data analysis, visualization, predictive modeling, and dashboard development. Experienced in working with large datasets through internship and real-world analytics projects to generate actionable insights and support business decision-making.
Kristu Jayanti Deemed-to-be University, Bengaluru
MSc Data Science · Data Science
August 1, 2024 – July 1, 2026
Jain Deemed-to-be University, Bengaluru
BSc (Hons) Data Science and Analytics · Data Science and Analytics
August 1, 2021 – May 1, 2024
SVRY Co.
Data Analyst Intern
January 1, 2024 – March 1, 2024
Bengaluru, Karnataka, India
E-Commerce Order Risk Analytics
June 1, 2026 – Present
Analyzed 90,000+ e-commerce orders across 6 relational datasets to identify delivery risks, customer dissatisfaction patterns, and operational bottlenecks. Performed data cleaning, feature engineering and exploratory data analysis (EDA) to uncover factors influencing delivery delays, freight costs, seller performance and customer reviews. Developed machine learning models and built interactive Power BI and Streamlit dashboards to monitor KPIs, delivery performance and customer satisfaction metrics.
View ProjectFlood Risk Prediction System
June 1, 2026 – Present
Analyzed 10,000+ rainfall observations from IMD datasets to identify rainfall variability, seasonal trends and extreme precipitation events. Developed a Linear Regression model achieving approximately 75% accuracy for flood-risk assessment across different regions. Built an interactive Flask dashboard to visualize rainfall trends, flood-risk levels and regional weather insights.
View ProjectPredictive Food Waste Analytics for Restaurant Operations
June 1, 2026 – Present
Analyzed 5,000+ food-waste records to identify waste patterns across food categories, event types, locations and storage conditions. Performed EDA and predictive modeling to determine key factors contributing to food wastage and operational inefficiencies. Developed dashboard and recommendation system identifying opportunities for an estimated 15-20% reduction in food waste.
View ProjectOracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
June 1, 2026 – Present
AI for Skilling Digital Academy Program
Capgemini & NASSCOM Foundation
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Data Science Training
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, environmental risk prediction, and restaurant operations, indicating adaptability and a broad interest in applying data science. Their involvement in student leadership and research suggests a proactive and collaborative mindset. The certifications further demonstrate a commitment to continuous learning and skill development, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, attention to detail, and problem-solving skills through project descriptions. Their involvement in the Data Bridge Society and research paper presentation indicates leadership potential and teamwork capabilities. The academic projects show an ability to work independently and deliver actionable insights, which aligns well with operational requirements for a Data Analyst role.