Help & Supportcareers@gravityer.com
Data Science with less than a year in Python, SQL, Power BI, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate (2024) with hands-on experience in data analysis, predictive modeling, and data visualization. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, and Power BI for end-to-end data workflows — from data cleaning and feature engineering to insight generation and reporting. Built and evaluated machine learning models on real-world agricultural datasets, achieving measurable performance improvements through comparative algorithm analysis. Certified in Power BI (Simplilearn) and SQL (HackerRank) with AWS cloud exposure. Eager to leverage analytical skills to deliver data-driven business insights.
ISTS Women's Engineering College
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Akshara Junior College, Jaggampeta
Intermediate · MPC (Mathematics, Physics, Chemistry)
June 1, 2018 – May 31, 2020
Z.P.P High School, Kamarjupeta
SSC · Secondary School Certificate
June 1, 2017 – May 31, 2018
Amazon Web Services
Cloud Computing Intern
January 1, 2023 – December 31, 2023
null
Multicriteria Agriculture Recommendation System
January 1, 2023 – January 1, 2024
Designed and developed a crop yield prediction system applying Decision Tree, Random Forest, and Logistic Regression algorithms to multi-variable agricultural datasets Processed and cleaned structured datasets containing 10+ environmental and soil parameters, ensuring data integrity and removing inconsistencies prior to model training Engineered features through selective preprocessing and transformation, optimizing model inputs to improve prediction accuracy Benchmarked three ML algorithms through comparative performance evaluation, identifying the highest-accuracy model for crop yield prediction Delivered interpretable crop yield predictions by translating model outputs into actionable agricultural insights
Power BI Certification
Simplilearn
January 1, 2023 – Present
SQL (Basic) Certification
HackerRank
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic project on agriculture recommendation system shows an interest in applying data science to real-world problems. The AWS internship indicates an openness to learning and adapting to industry tools. The certifications and consistent academic performance suggest a driven individual. However, with limited professional experience, the breadth of exposure to diverse team environments and complex organizational cultures is not yet evident. The target role of Data Science aligns well with the candidate's stated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong academic performance and a self-motivated attitude, as evidenced by high GPAs and certifications. The project description highlights analytical thinking and the ability to translate model outputs into actionable insights, suggesting good data storytelling potential. Time management and fast learning are also listed, which are positive for operational fit. However, direct evidence of team collaboration or complex problem-solving in a professional setting is limited due to the academic and internship nature of experience.