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Data Analyst with less than a year in data cleaning, EDA, and visualization.
AI is analyzing your overall score…
Identifying your key strengths…
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
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
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
Certified in Data Analytics internship (ICT Academy)
ICT Academy
June 1, 2026 – Present
Certified in Deloitte Data Analytics Virtual Internship (Forage)
Forage
June 1, 2026 – Present
Data Science & Analytics - HP LIFE
HP LIFE
January 1, 2026 – Present
Google Analytics Certification - Google Analytics Academy
Google Analytics Academy
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.