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Data Science with less than a year in Machine Learning & Data Analysis
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Assessing your cultural and operational fit
Highly motivated Data Science professional with a Master's in Mathematics and a Bachelor's in Computer Science. Possessing strong skills in Python, SQL, machine learning, data visualization, and cloud platforms. Proven ability to develop predictive models, perform in-depth data analysis, and deliver actionable insights through impactful projects and an internship. Eager to leverage analytical and technical expertise to solve complex business problems.
Narendra Degree and PG College
Master of Science (M.Sc) · Mathematics
August 1, 2021 – June 30, 2023
Narendra Women's Degree College
Bachelor of Science (B.Sc) · Computer Science
August 1, 2018 – June 30, 2021
British Airways
Data Science Intern
October 1, 2025 – June 1, 2026
India
Exploratory Analysis of US Crime Data
June 1, 2026 – June 1, 2026
Analyzed 2024 Crime data to identify crime distribution patterns and high-frequency offense types. Identified crime hotspots through data analysis, supporting targeted enforcement and reducing response time by 15%. Extracted insights on arrest rates and domestic crimes to support informed decision-making, improving accuracy by 20%. Optimized queries and indexing to speed up data retrieval, reducing query time by 30% and maximizing efficiency.
Regional Sales Performance Analysis
June 1, 2026 – June 1, 2026
Designed and optimized a dashboard to compare sales performance across 2 regions using interactive visualizations. Implemented dynamic filters, increasing user engagement by 35% and improving insight discovery. Automated data refresh, reducing manual updates by 50% and improving report accuracy. Generated actionable insights showing East region sales exceeded Central region by 10%.
Rainfall Prediction System
June 1, 2026 – June 1, 2026
Developed a classification machine learning model to predict next-day rainfall using 10 years of historical weather data. Processed over 10,000 weather records, improving data quality and prediction efficiency by 15%. Performed exploratory data analysis and visualizations, enhancing feature selection effectiveness by 25%. Achieved 85% accuracy with XGBoost and 83% accuracy using Logistic Regression.
SQL and Relational Databases certification
Cognitive Class
June 1, 2026 – Present
40 hour Deep Learning course
Kaggle
June 1, 2026 – Present
Microsoft Excel certification
Mind Luster
June 1, 2026 – Present
Python Programming certification
Udemy
June 1, 2026 – Present
90 day Machine Learning certification
SkillUp
June 1, 2026 – Present
Deloitte Australia Virtual Data Analytics Job Simulation
Forage
March 1, 2025 – Present
Master's Program in Data science and Business analytics
Simplilearn
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like rainfall prediction, crime data analysis, and sales performance, indicating a broad interest in applying data science to various domains. The certifications from multiple platforms (Simplilearn, Udemy, SkillUp, Kaggle, Cognitive Class, Mind Luster) demonstrate a proactive and continuous learning mindset, which aligns well with a culture of innovation and self-improvement. The internship at British Airways shows an ability to work in a corporate environment. The listed achievements, such as organizing college fests and participating in events, suggest good teamwork and leadership potential, contributing positively to team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, effective communication, stakeholder collaboration, time management, adaptability, and teamwork skills. These are essential for operational fit in a data science role, where cross-functional collaboration and clear communication of insights are paramount. The project descriptions also indicate an ability to translate data into business value.