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Data Analyst with less than a year in Data Pipelines & Dashboards
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 2 internships and hands-on experience building end-to-end data pipelines and dashboards. Proficient in Python, SQL, Excel, and Power BI with practical exposure to machine learning, REST APIs, and cloud platforms. Adept at transforming raw data into actionable business insights. Seeking a challenging internship to contribute and grow alongside a driven team.
University of Lucknow
Bachelor of Computer Applications · Computer Applications
August 1, 2024 – Present
Cognifyz Technologies
Power BI Intern
June 1, 2025 – July 1, 2025
Mumbai, Maharashtra, India
CODTECH IT Solutions Pvt. Ltd.
Data Analyst Intern
June 1, 2025 – August 1, 2025
Hyderābād, Telangana, India
Retail Pulse
March 1, 2026 – April 1, 2026
Analyzed 100,000+ real e-commerce orders across 9 tables using Python and PostgreSQL; built a 3-page Power BI dashboard with 15 SQL queries and 10 visualizations. Built a Customer Churn Prediction model (Random Forest) with 96% accuracy, deployed via a Streamlit web app. Discovered that late deliveries reduce customer review scores by 40% through SQL and Python correlation analysis.
Weather API Analytics Project
April 1, 2025 – April 1, 2025
Fetched live weather data from 15 cities via OpenWeatherMap REST API; performed EDA and built a custom Comfort Index metric. Identified that Indian cities are on average 10°C hotter than global cities, with a 0.42 humidity-temperature correlation.
IBM Cloud Computing Fundamentals
IBM
June 1, 2026 – Present
IBM Data Analysis with Python
IBM/ Coursera
June 1, 2026 – Present
Forage Data Analytics Virtual Experience
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce analytics and weather data analysis, shows a broad interest in applying data analysis skills to different domains. The internships align well with a Data Analyst role, demonstrating a clear career path. The breadth of skills covers essential tools for data analysis, visualization, and some machine learning, indicating a willingness to learn and adapt to various technical requirements. The candidate is currently pursuing a Bachelor's degree, which suggests a foundational academic background in computer applications.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate a results-driven individual capable of transforming raw data into business insights. The focus on reducing manual reporting time and improving decision-making suggests a practical, problem-solving approach. The ability to work remotely for internships also implies self-discipline and adaptability. However, without direct interview data, assessment of collaboration, stress handling, and communication clarity in a team setting is limited.