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Data Science with less than a year in Python, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A motivated data analytics aspirant with strong skills in Excel, Power BI, SQL, and Python, seeking an opportunity to apply analytical thinking and data visualization techniques to support data-driven decision-making. Committed to continuous learning, problem-solving, and delivering meaningful insights that add value to organizational goals.
Malla Reddy Engineering College & Management Sciences
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Sai Chaithanya Junior College
Class 12th
June 1, 2020 – May 31, 2022
Government Girls High School
Class 10th
June 1, 2019 – May 31, 2020
Electric Vehicles Market Size Analysis
June 24, 2026 – Present
Utilized Python for cleaning, processing, and EDA on EV datasets, uncovering key growth trends. Improved analytical efficiency by 20% through visualization.
Walmart Retail Insights Optimization
June 24, 2026 – Present
Applied SQL queries for sales and inventory analysis with 98% accuracy. Optimized query efficiency by 25%, improving retail insights.
Smart Pricing and Customer Retention (Airbnb + Telecom)
June 24, 2026 – Present
Built ML models for Airbnb pricing and telecom churn, improving prediction accuracy by up to 92% through feature engineering and model tuning.
IMDb Sentiment Analysis
June 24, 2026 – Present
Developed sentiment classification models using TF-IDF/Word2Vec, achieving 90%+ accuracy on test data.
J.P. Morgan Legal Document Classification
June 24, 2026 – Present
Automated classification of legal documents using CRISP-DM, saving 360,000+ hours annually. Hands-on exposure to full data analytics lifecycle including preprocessing and exploratory analysis.
Advanced Criminal Identification System
June 24, 2026 – Present
Developed an AI-based system to identify individuals using biometric/image data, applying preprocessing and classification techniques to improve accuracy and reduce manual effort.
Blood Bank Management System
June 24, 2026 – Present
Developed a system to manage blood donor records, inventory, and requests efficiently, ensuring accurate tracking, quick retrieval of data, and improved availability of blood units.
IoT Medical Bug Severity Classification
June 24, 2026 – Present
Developed a hybrid system using BERT and machine learning models to classify and prioritize medical IoT bugs based on severity, improving issue detection accuracy and response time.
Real Time Operating System
NPTL
June 1, 2026 – Present
Data Science Course
Internshala Trainings
April 1, 2025 – October 1, 2025
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications, from retail insights and financial document classification to healthcare and criminal identification. This breadth indicates an interest in applying data science to various domains, which can be a positive for cultural fit in an organization that values versatility and continuous learning. The target role of 'Data Science' aligns well with the project experience and certifications. However, the lack of professional experience means the candidate's ability to integrate into a corporate culture and handle real-world project complexities is unproven.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as leadership, team management, analytical thinking, problem-solving, and communication. These are crucial for operational fit in a data science role, which often involves collaborative project work and presenting insights. The academic projects demonstrate an ability to work on diverse problems, suggesting adaptability. However, without professional experience, the practical application and depth of these soft skills in a corporate environment are yet to be validated.