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Data Science with less than a year in Data Analysis & Predictive Modeling.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented fresher with a keen interest in data management and analytics. Currently enhancing skills in MySQL for database handling and Power BI for creating interactive dashboards and insightful visualizations. Focused on strengthening problem-solving and analytical abilities through continuous practice and learning. Passionate about applying knowledge to real-world projects and eager to start a professional journey through internships or entry-level roles. Committed to continuous improvement and contributing effectively in a collaborative environment.
NRI INSTITUTE OF TECHNOLOGY
B.Tech · Computer Science & Engineering -Data Science
August 1, 2021 – June 30, 2025
NextHub Technologies Pvt Ltd (APSCHE)
AI/ML Intern - Data Analytics and Predictive Modeling
October 1, 2025 – Present
India
Music Store Data Analysis
June 1, 2026 – June 1, 2026
I analyzed sales and customer data from 10 CSV datasets using SQL and Python to uncover key business insights. The study revealed Prague as the top revenue-generating city, Rock as the most popular genre, and high sales concentration among a few customers. I answered 15+ business questions on customer spending, regional preferences, and top-performing artists. The insights supported data-driven recommendations for targeted marketing and customer engagement strategies.
Financial Analytical Dashboard
June 1, 2026 – June 1, 2026
Developed an Advanced Financial Analytics Dashboard to monitor and analyze company-level financial data, including revenue, expenses, profit margins, and regional sales performance using 50K+ records.. The system identified key financial trends such as 12% year-over-year revenue growth, 18% margin improvement, and highlighted underperforming regions, enabling better strategic decision-making for leadership. Enhanced data-driven financial management by integrating data cleaning, preprocessing, and exploratory data analysis (EDA) with interactive visualizations for actionable business insights.
Smart City Analytics Dashboard
June 1, 2026 – June 1, 2026
Developed an Advanced Smart City Analytics Dashboard to monitor and analyze real-time urban data, including traffic flow, air quality, energy consumption, and public safety metrics. The system identified critical conditions such as traffic congestion, pollution spikes, and abnormal energy usage, generating automated alerts and improving decision-making efficiency for city administrators. Implemented role-based analytical views with dynamic filters, congestion heatmaps, and sensor-driven alerts to support traffic optimization, pollution control, and emergency response systems.
View ProjectPython Module Exam
Innomatics Research labs
June 1, 2026 – Present
Data Analysis Using PowerBI workshop
Techtip 24
June 1, 2026 – Present
Python Certification Course
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in different data domains (music sales, finance, smart cities). The internship in AI/ML further diversifies their exposure. This indicates a willingness to explore various applications of data science, which could contribute positively to a dynamic team environment. The focus on practical application through projects and certifications suggests a proactive learning approach.
Soft Skills & Operational Fit
The candidate's career objective highlights motivation, detail-orientation, and a commitment to continuous improvement and collaborative work. Project descriptions indicate an ability to translate data into business insights and make data-driven recommendations. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.