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Data with less than a year in SQL, Python & Power BI.
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Assessing your cultural and operational fit
Results-driven Data Analyst fresher with hands-on internship experience at Cognition Technology India Pvt. Ltd., specializing in SQL, Python (Pandas, NumPy, Matplotlib), and Power BI. Proven ability to transform raw datasets into actionable business insights, automate reporting pipelines, and build interactive dashboards. Strong foundation in data modeling, EDA, and machine learning. Eager to contribute to data-driven decision-making in a growth-focused organization.
Dr. Babasaheb Ambedkar Technological University
Bachelor of Engineering · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Maharashtra State Board
SSC (Class 10)
N/A – May 31, 2019
Maharashtra State Board
HSC (Class 12)
N/A – May 31, 2021
Cognition Technology India Pvt. Ltd.
Data Analytics Intern
December 1, 2025 – May 1, 2026
India
Breast Cancer Data Analysis & Prediction
June 24, 2026 – Present
• Analyzed a dataset of 569 records and 30 features; cleaned and validated data, achieving 99% completeness • Built classification models (Logistic Regression, Random Forest) achieving 96.5% accuracy on test set • Performed EDA to identify top 5 predictive features, reducing model complexity without sacrificing accuracy • Created a Power BI dashboard to visualize tumor characteristics, model performance, and prediction outcomes
Sales Performance Dashboard
June 24, 2026 – Present
• Designed an end-to-end sales analytics dashboard tracking revenue, regional performance, and product trends across 12 months • Used SQL to extract and aggregate data from 3 source tables; built calculated columns and DAX measures in Power BI • Enabled stakeholders to identify top-performing regions, reducing report preparation time from 3 hours to under 15 minutes
Netflix Data Analysis
June 24, 2026 – Present
• Analyzed a Netflix dataset of 8,000+ titles to uncover content trends across genres, release years, ratings, and regions • Cleaned and transformed raw data using Python (Pandas), handling missing values and standardizing categorical fields for accurate reporting • Built an interactive Power BI dashboard with slicers for content type, country, and rating — enabling dynamic exploration of catalogue distribution • Identified key insights including top content-producing countries, year-over-year growth in TV Shows vs. Movies, and most popular genres by region
Uber Ride Bookings Analysis (NCR Region)
June 24, 2026 – Present
• Built a 5-page interactive Power BI dashboard analyzing 150,000+ Uber ride bookings across the NCR region for full-year 2024, with Overall, Vehicle Type, Revenue, Cancellation, and Ratings views • Tracked core KPIs: total bookings (148.77K), successful bookings (92.55K), and a 25% cancellation rate from booking status breakdown • Compared 6 vehicle types (Auto, Go Mini, Go Sedan, UberXL, Premier Sedan, eBike/Bike) on booking value, success rate, and avg. distance travelled • Segmented 37K+ cancelled rides by customer- and driver-side reasons to flag top cancellation drivers, and visualized revenue by payment method (UPI led) plus top 5 customers by booking value
Data Analyst
Cognition Technology India Pvt. Ltd
January 1, 2025 – Present
Data Science & Analytics
hp LIFE
January 1, 2024 – Present
GenAI Powered Data Analytics Job Simulation Certificate
Tata in collaboration with Forage
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate a proactive learning attitude and a genuine interest in diverse data analysis applications (healthcare, sales, entertainment, transportation). The internship experience shows collaboration and standardization efforts, which are positive indicators for cultural fit in a growth-focused organization. The breadth of skills and project diversity align well with a dynamic data role.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight collaboration with cross-functional teams and a focus on delivering actionable insights, indicating a good operational fit. The ability to reduce reporting time and improve query performance suggests a results-driven approach. However, without psychometric or English test scores, a full assessment of stress handling, logical reasoning, and communication clarity in a team setting is not possible.