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Data Analyst with 1+ years in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data Analyst with 1 years of experience in Python, SQL, Power BI, and Tableau. Proven track record of automating workflows (60% effort reduction), optimizing dashboards (40% performance gain), and delivering insights that drive business decisions. Currently pursuing MCA at Manipal University Jaipur.
NIIT
Data Analytics & ML with GenAI · Data Analytics & Machine Learning
N/A – June 30, 2024
Manipal University Jaipur
Masters of Computer Applications (MCA)
N/A – Present
JIMS Kalkaji, GGSIPU
B.Com (Hons) · Commerce
N/A – June 30, 2023
PragMath
Analyst Trainee
November 1, 2025 – Present
Noida, Uttar Pradesh, India
Provizz Consultants Pvt Ltd
Analyst Intern
December 1, 2024 – May 31, 2025
Noida, Uttar Pradesh, India
Inglu Global
Data Analyst Intern
May 1, 2022 – July 31, 2022
Noida, Uttar Pradesh, India
A/B Testing Analysis – Mobile App Onboarding Experiment
March 1, 2026 – March 1, 2026
Statistical experiment measuring onboarding redesign impact on user conversion. Identified a statistically significant 12% uplift in conversion rate via hypothesis testing; presented findings in Tableau to drive product go/no-go decision.
Deloitte Data Analytics Job Simulation (Forage)
March 1, 2026 – March 1, 2026
Forensic data analysis and BI using real-world business scenarios. Built an interactive Tableau dashboard surfacing actionable insights; used Excel for structured data classification and decision-making analysis.
E-Commerce Sales Analytics Dashboard
February 1, 2026 – March 1, 2026
Power BI dashboard integrating 4 SQL tables to track revenue, customer, and product trends. Tracked $2M+ in simulated revenue; designed interactive KPI filters enabling business users to self-serve insights without analyst support.
Football Dataset Capstone (Segmentation & Predictive Modeling)
October 1, 2024 – November 1, 2024
ML-driven analysis of player performance data using clustering and regression. Applied K-Means clustering and regression modeling; achieved 85% prediction accuracy on target metrics.
Cultural Fit Analysis
The candidate's academic background in Data Analytics & ML with GenAI, coupled with diverse projects (e-commerce, A/B testing, forensic analysis, ML modeling), indicates a strong interest in continuous learning and applying varied analytical techniques. Their experience in both personal and academic projects, alongside internships and a trainee role, suggests a proactive and engaged approach to skill development and practical application, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing queries and automating tasks. Their experience in stakeholder collaboration for dashboard development indicates good communication and business understanding. The project diversity suggests adaptability and a proactive learning attitude.