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Data Analyst with less than a year in data analytics, machine learning, and business intelligence.
Results-driven and detail-oriented Data Analyst fresher with hands-on internship experience in data analytics, machine learning, and business intelligence. Proficient in Python, SQL, Excel, Power BI, and Tableau, with demonstrated expertise in data cleaning, exploratory data analysis (EDA), dashboard development, and KPI reporting. Skilled at transforming complex datasets into actionable business insights through statistical analysis and data visualization. Passionate about leveraging data-driven and Al-powered approaches to solve real-world business problems and drive informed decision-making.
East West Institute of Technology
Bachelor of Engineering · Artificial Intelligence & Machine Learning
August 1, 2022 – August 1, 2026
Introtallent Pvt Ltd
Data Analyst Intern
March 1, 2026 – Present
India
International Institute of Medical Science & Technology Council
Data Science Intern
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Bluestock™
Software Engineer Intern
January 1, 2025 – February 1, 2025
Bengaluru, Karnataka, India
Energy Poverty Classification for Rural Households
June 1, 2026 – Present
Trained classification models on 5,000+ household records, achieving 91% accuracy in energy access prediction. Improved yield prediction accuracy by 22% through ML optimization and demographic feature engineering. Provided actionable insights and visualizations to support policy-level decision-making for sustainable resource allocation.
Sales & KPI Analytics Dashboard
June 1, 2026 – Present
Designed an end-to-end Power BI dashboard visualizing sales trends, revenue KPIs, and product performance across regions. Wrote complex SQL queries to extract, join, and aggregate data from relational databases for dashboard consumption. Implemented data validation and ETL basics to ensure data integrity before loading into visualization layer. Delivered actionable business insights enabling stakeholders to identify top-performing segments and forecast quarterly growth.
OmniSense - Emergency Priority Traffic Management System
June 1, 2026 – Present
Achieved 94% detection accuracy using triple-sensor fusion (RFID, siren detection, CCTV-based recognition). Reduced emergency vehicle response time by 40% through real-time green corridor creation algorithm. Processed live data streams from 3 sensor types with sub-2-second latency using optimized data pipelines.
Customer Churn Analysis
June 1, 2026 – Present
Analyzed customer behavior data using Python and SQL to identify churn patterns and at-risk customer segments. Performed comprehensive EDA including univariate and bivariate analysis, correlation heatmaps, and distribution plots. Cleaned and transformed 15,000+ customer records, handling missing values, outliers, and categorical encoding. Generated data-driven recommendations that could potentially reduce churn by targeting high-risk segments proactively.
Data Science & Analytics Certification
Introtallent Pvt Ltd
June 1, 2026 – Present
Data Analysis with Python
IBM
August 1, 2025 – Present
Artificial Intelligence Fundamentals
IBM
July 1, 2025 – August 1, 2025
Build Real-World AI Applications with Gemini & Imagen
Google Cloud Skills Boost
September 1, 2024 – Present
Web Development Certification
Accenture
July 1, 2024 – Present
Complete SQL Bootcamp: From Zero to Hero
Udemy
May 1, 2024 – Present
Fundamentals of Digital Marketing
May 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in data analytics, business intelligence, and AI-powered applications, which aligns well with a data-driven organizational culture. The diversity of projects, from sales analytics to emergency traffic management and energy poverty classification, indicates adaptability and a broad interest in applying data science to various domains. The candidate's current internship and previous roles suggest a proactive approach to gaining experience, which is a positive cultural indicator. However, the candidate is still an undergraduate, which might imply a need for more structured mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate and deliver actionable insights, suggesting good communication and problem-solving skills. The focus on efficiency improvements (e.g., reducing reporting time, automating workflows) aligns with operational effectiveness. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.