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Data Science with less than a year in Python, Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with knowledge of Python, SQL, Excel, Power BI, and Data Analytics. Seeking an opportunity to apply my technical and analytical skills in a professional environment, contribute to organizational goals, and continuously enhance my knowledge through practical experience and learning.
Swarnandhra College of Engineering and Technology
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
S.V.K.P & Dr. K.S. Raju Arts & Science College
Bachelor of Science (B.Sc) · Computer Science
August 1, 2020 – June 30, 2023
Datapoint IT & Hardware Tech Pvt. Ltd.
Python with Machine Learning - Academic Internship
December 1, 2024 – April 30, 2025
Hyderābād, Telangana, India
PhonePe Pulse Transaction Analysis Dashboard Power BI
January 1, 2026 – June 1, 2026
• Analyzed digital payment transaction data to identify usage patterns and growth trends • Cleaned and transformed datasets, improving data consistency by 30% • Built interactive dashboards in Power BI to track KPIs such as transaction volume and state-wise adoption • Generated insights to support data-driven decision making and improved reporting efficiency by 40%
Crop Recommendation Systems using Machine Learning, Python
May 1, 2025 – June 1, 2026
• Developed a machine learning-based crop recommendation system using Python • Designed an end-to-end pipeline from user input (text-based) to prediction output • Trained and evaluated models including Random Forest, SVM, and Decision Tree, achieving 92% accuracy • Improved model performance by 20% through data preprocessing and feature selection • Delivered real-time crop predictions with <2 seconds response time
Seismic Activity Detection Machine Learning
September 1, 2024 – June 1, 2026
• Developed a machine learning model to detect and classify seismic activity using sensor data • Processed and analyzed time-series data, improving data quality by 25% • Achieved 90%+ accuracy using classification algorithms • Reduced false positives by 20%, improving detection reliability • Visualized seismic patterns and results for faster analysis
Data Science with Generative AI
Unknown
June 1, 2026 – Present
Python programming
Unknown
June 1, 2026 – Present
Google data analytics
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying data science to diverse real-world problems (seismic activity, crop recommendation, payment transaction analysis). This breadth of application, combined with an objective to continuously enhance knowledge, suggests a good cultural fit for a role that values continuous learning and practical problem-solving. The academic nature of all projects and limited professional experience might require mentorship to adapt to corporate environments.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, team collaboration, and critical thinking as soft skills. Project descriptions indicate an ability to work through data analysis pipelines and improve data quality/consistency, suggesting a methodical approach. The academic internship further supports practical application of these skills in a structured environment.