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Data Science with less than a year in data analytics, machine learning, and BI tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science undergraduate with hands-on experience in data analytics, machine learning, SQL, and Power BI. Skilled in building KPI dashboards, predictive models, and business intelligence solutions using real-world datasets. Proven ability to analyze 100K+ records, generate actionable insights, and support data-driven decision-making.
Garden City University, Bengaluru
Bachelor of Technology · Computer Science (Data Science)
August 1, 2022 – June 30, 2026
Alstom Transport India Limited
Data Visualization and Full Stack Intern
August 1, 2025 – May 31, 2026
Bengaluru, Karnataka, India
Artificial Intelligence for Renewable Energy Forecasting
April 1, 2026 – April 30, 2026
Developed an AI-powered solar energy forecasting system using Random Forest, XGBoost, LSTM, and Transformer models. Enhanced forecasting accuracy through uncertainty estimation using MAPIE. Built a Streamlit dashboard for real-time prediction visualization and model monitoring.
Retail Sales Analytics Dashboard (Power BI)
July 1, 2025 – July 31, 2025
Developed a Power BI dashboard analyzing 5,000+ sales transactions, customer ratings, and product performance. Created DAX measures, KPIs, filters, and slicers to improve business reporting and decision-making.
User Behavior Analytics System
March 1, 2025 – March 31, 2025
Analyzed 100,000+ user activity records to identify behavioral patterns and customer segments. Engineered 50+ predictive features and implemented K-Means and DBSCAN clustering models. Improved campaign Click Through Rate (CTR) by 15% through data-driven segmentation.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Getting Started with Data
IBM
June 1, 2026 – Present
Power BI for Beginners
Simplilearn
June 1, 2026 – Present
Python Essentials
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest in data science and analytics, aligning well with a data-driven culture. The diversity of projects (user behavior, retail sales, renewable energy forecasting) indicates adaptability and a broad interest in applying data science across different domains. However, the experience is primarily academic and internship-based, which might require more mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate demonstrates self-learning and presentation skills, as well as design thinking, which are valuable for operational roles. The internship experience shows an ability to contribute to business reporting and decision-making processes.