Data Analyst with less than a year in Applied Statistics & Data Analytics
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Aspiring Data Analyst with a strong foundation in Applied Statistics and Data Analytics, familiar with Python, machine learning, and data visualization concepts. Passionate about using data-driven insights and analytical thinking to support business decision-making and solve real-world problems.
Amrita Vishwa Vidyapeetham
MSc Applied Statistics and Data Analytics · Applied Statistics and Data Analytics
August 1, 2024 – June 30, 2026
St. Xavier's College For Women
BSc Mathematics · Mathematics
August 1, 2021 – June 30, 2024
Sree Narayana Higher Secondary School
Higher Secondary
June 1, 2019 – May 31, 2021
Infant Jesus Public School
Secondary School
June 1, 2018 – May 31, 2019
Tata Data Visualization: Empowering Business with Effective Insights - Forage
Tata Data Visualization: Empowering Business with Effective Insights
July 1, 2025 – Present
India
SkillCraft Technology
Virtual Internship
May 1, 2025 – July 1, 2025
India
Smart Crop Recommendation System | Python, Machine Learning
January 1, 2026 – April 1, 2026
Developed a predictive crop recommendation system using soil nutrients and environmental data. Built machine learning models using Random Forest, XGBoost, SVM, and AutoML-based ensemble stacking techniques for accurate prediction. Performed data cleaning, feature selection, statistical analysis, and model evaluation to improve prediction performance. Applied SHAP-based explainability techniques to enhance model interpretability and transparency. Achieved high prediction accuracy through optimized ensemble learning methods.
Application of Matrices
January 1, 2024 – March 1, 2024
Explored theoretical applications of matrices and linear algebra in machine learning, optics, and quantum mechanics. Studied the role of mathematical modeling and matrix operations across various analytical domains.
Programming fundamentals using Python
Infosys Springboard
October 1, 2024 – Present
Basics of python
Infosys Springboard
September 1, 2024 – Present
Microsoft office tools
LCC computer education institution
April 1, 2024 – Present
Logical reasoning and data interpretation
St Xavier's College
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in both Mathematics and Applied Statistics & Data Analytics, coupled with participation in various workshops and certifications, demonstrates a proactive and continuous learning attitude. The projects, while academic, show a breadth of interest in applying data science to real-world problems (e.g., crop recommendation). The internships, even if virtual, indicate an effort to gain practical experience and align with the target role of Data Analyst. The candidate's profile suggests a good fit for a data-driven culture that values analytical rigor and continuous skill development.
Soft Skills & Operational Fit
The candidate's project descriptions and academic achievements suggest a strong analytical mindset and a commitment to continuous learning. The internships, though virtual, indicate an ability to apply theoretical knowledge to practical data analysis tasks. The focus on explainability (SHAP) points to a thoughtful approach to machine learning, which is valuable for operational understanding and trust in models.