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Data Science with 2+ years in Data Science & Telecom Management
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level data analyst with hands-on experience in telecom database management and data science projects. Proficient in Python, SQL, statistical analysis and data visualization tools including Power BI and Tableau. Skilled at transforming large datasets into actionable insights and building predictive models to support decision-making.
Vaagdevi Engineering College
B.Tech · Electronics Communication& Engineering
N/A – June 30, 2025
MAINCRAFTS TECHNOLOGY
Internship Project #2
January 1, 2026 – February 28, 2026
India
BSNL TELECOMMUNICATION
Internship Project #1
May 1, 2024 – Present
India
TITANIC SURVIVAL PREDICTION USING PYTHON
February 1, 2026 – April 30, 2026
• Cleaned and prepared data using Pandas • Performed data wrangling and analysis with NumPy • Conducted EDA to identify trends and patterns • Visualized data using Matplotlib & Seaborn • Built and tuned classification models (Logistic Regression, XGBoost) using Python, achieving robust validation performance through cross-validation • Interpreted model outputs and communicated key survival insights to stakeholders through visualizations and summary reports
GRAIN PROTECTION FROM RAIN
January 1, 2025 – May 31, 2025
• Developed an automated grain protection system using rain sensors and Arduino to prevent grain damage during rainfall • Designed and tested a low-cost waterproof shelter with optimized runoff angles, achieving ~95% reduction in grain spoilage through field trials • Developed and executed Monte Carlo simulations in Python (NumPy, Pandas) to model rainfall impact on grain spoilage, informing architectural and cost optimizations
Cultural Fit Analysis
The candidate's projects, 'Titanic Survival Prediction' and 'Grain Protection from Rain', demonstrate a diverse interest in applying data science to different domains, from classic datasets to IoT-driven solutions. The internship experiences, though entry-level, show exposure to both telecommunications data management and general data science/analytics. This breadth suggests adaptability and a willingness to explore various problem spaces, which can contribute positively to cultural fit in a dynamic team. The target role 'Data Science' aligns well with the candidate's stated interests and project work.
Soft Skills & Operational Fit
The candidate's resume highlights 'Presentation skills, Public speaking, Prototyping, mockup, Statistical Analysis, Data visualization, Requirement analysis, Sports analytics' as soft skills. These indicate a potential for good communication and analytical thinking, which are beneficial for operational fit in a data science role. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.