Data Analyst with less than a year in data cleaning, EDA, and visualization.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data cleaning, exploratory data analysis (EDA), dashboard development, and machine learning. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, and Power BI. Demonstrated ability to analyse 5,000+ customer records, identify actionable business insights, and communicate findings to stakeholders. Passionate about transforming raw data into data-driven strategies that support business decision-making.
J. C. Bose University of Science and Technology
Bachelor of Technology · Computer Science Engineering
October 1, 2022 – June 1, 2026
Edufyi Tech Solutions Pvt. Ltd.
Data Analyst Intern
March 1, 2026 – May 1, 2026
India
Smart Placement Prediction System
June 1, 2026 – Present
• Developed an interactive dashboard to analyze student placement trends and influencing factors • Performed data pre-processing and feature engineering using Python libraries • Conducted EDA to study relationships between CGPA, internships, projects, and placements • Built a machine learning model to predict placement probability • Integrated the model into a Streamlit web application for real-time predictions
E-Commerce Sales Analysis & Demand Prediction
June 1, 2026 – Present
• Analyzed e-commerce transaction data to identify sales trends and seasonal demand patterns • Cleaned and pre-processed data using Pandas, handling missing values and formatting date features • Analyzed 5,000+ records to identify placement trends and improve prediction insights. • Engineered time-based features (Month, Day, Weekday) to improve model performance • Built and compared Machine Learning models (Linear Regression & Random Forest) for demand prediction
Customer Churn & Revenue Impact Analysis
June 1, 2026 – Present
• Analyzed 7,000+ telecom customer records to identify key churn drivers and patterns • Performed data cleaning and transformation to ensure accurate and reliable analysis • Built interactive Power BI dashboard with churn rate, tenure analysis, and contract segmentation • Created DAX measures to calculate KPIs such as churn rate, customer lifetime value, and revenue loss • Identified high-risk customer segments contributing to 1.39 lakh monthly revenue loss
Certified in Deloitte Data Analytics Virtual Internship (Forage)
Forage
June 1, 2026 – Present
Certified in Data Analytics internship (ICT Academy)
ICT Academy
June 1, 2026 – Present
Google Analytics Certification - Google Analytics Academy
Google Analytics Academy
January 1, 2026 – Present
Data Science & Analytics - HP LIFE
HP LIFE
January 1, 2026 – Present
Reporting & Analytics Boot camp - Hub Spot Academy
Hub Spot Academy
January 1, 2026 – Present
Head Coordinator - Rhythm Society (ACEM), VIVRTI
ACEM
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like student placement, e-commerce sales, and customer churn, indicating a broad interest in applying data analytics across different domains. The certifications from various organizations (Deloitte, Google, HubSpot) and involvement in a society (Rhythm Society) suggest a proactive and engaged individual, which generally aligns well with a dynamic work culture. The internship experience, though short, shows an ability to work in a team and adapt to professional settings.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and data-driven decision-making skills through their project work. Their internship experience highlights collaboration and communication skills in a professional environment. The certifications also indicate a proactive approach to learning and professional development.